Tips For Engineering Resume Writing

In the last 15 years, I have interviewed 800+ Software Engineers across Google, Paytm, Amazon & various startups. Here are the most actionable tips I can give you on how to approach  solving coding problems in Interviews  (My DMs are always flooded with this particular question) 1. Use a Heap for K Elements      - When finding the top K largest or smallest elements, heaps are your best tool.      - They efficiently handle priority-based problems with O(log K) operations.      - Example: Find the 3 largest numbers in an array.   2. Binary Search or Two Pointers for Sorted Inputs      - Sorted arrays often point to Binary Search or Two Pointer techniques.      - These methods drastically reduce time complexity to O(log n) or O(n).      - Example: Find two numbers in a sorted array that add up to a target.   3. Backtracking    - Use Backtracking to explore all combinations or permutations.      - They’re great for generating subsets or solving puzzles.      - Example: Generate all possible subsets of a given set.   4. BFS or DFS for Trees and Graphs      - Trees and graphs are often solved using BFS for shortest paths or DFS for traversals.      - BFS is best for level-order traversal, while DFS is useful for exploring paths.      - Example: Find the shortest path in a graph.   5. Convert Recursion to Iteration with a Stack      - Recursive algorithms can be converted to iterative ones using a stack.      - This approach provides more control over memory and avoids stack overflow.      - Example: Iterative in-order traversal of a binary tree.   6. Optimize Arrays with HashMaps or Sorting      - Replace nested loops with HashMaps for O(n) solutions or sorting for O(n log n).      - HashMaps are perfect for lookups, while sorting simplifies comparisons.      - Example: Find duplicates in an array.   7. Use Dynamic Programming for Optimization Problems      - DP breaks problems into smaller overlapping sub-problems for optimization.      - It's often used for maximization, minimization, or counting paths.      - Example: Solve the 0/1 knapsack problem.   8. HashMap or Trie for Common Substrings      - Use HashMaps or Tries for substring searches and prefix matching.      - They efficiently handle string patterns and reduce redundant checks.      - Example: Find the longest common prefix among multiple strings.   9. Trie for String Search and Manipulation      - Tries store strings in a tree-like structure, enabling fast lookups.      - They’re ideal for autocomplete or spell-check features.      - Example: Implement an autocomplete system.   10. Fast and Slow Pointers for Linked Lists      - Use two pointers moving at different speeds to detect cycles or find midpoints.      - This approach avoids extra memory usage and works in O(n) time.      - Example: Detect if a linked list has a loop.   💡 Save this for your next interview prep!

𝐇𝐨𝐰 𝘁𝗵𝗲 𝐫𝐢𝐠𝐡𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝘄𝗶𝗹𝗹 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗰𝗿𝗮𝗰𝗸 𝗪𝗮𝗹𝗺𝗮𝗿𝘁, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗮𝗻𝗱 𝗧𝗼𝗽 𝗠𝗡𝗖'𝘀. These days, most resumes look the same becoz everyone’s showcasing similar projects, often built by following the same online tutorials. So, what makes your resume stand out in in thousands people? Here's is the key things which you need to keep in mind before making any project: 1. 𝐒𝐨𝐥𝐯𝐞 𝐚 𝐫𝐞𝐚𝐥 𝐩𝐫𝐨𝐛𝐥𝐞𝐦: Even a small one. start building things I actually needed, A notes manager for my class. A budget tracker to stop overspending. A project reminder tool. These weren’t groundbreaking. But they were genuine and that authenticity stood out in interviews. 2. 𝐆𝐨 𝐣𝐮𝐬𝐭 𝐛𝐞𝐲𝐨𝐧𝐝 𝐲𝐨𝐮𝐫 𝐜𝐨𝐦𝐟𝐨𝐫𝐭 𝐳𝐨𝐧𝐞: One new concept in every project. - React then try Firebase - HTML/CSS then learn deployment etc… It proves that you're growing, not just repeating tutorials. Recruiters love seeing genuine project rather copied one’s. 3. 𝐓𝐞𝐥𝐥 𝐚 𝐬𝐭𝐨𝐫𝐲 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭: Ask yourself: - Why did I build this? - Who did it help? - Did anyone actually use it? Stories are remembered. Dashboard aren’t. 4. 𝐊𝐞𝐞𝐩 𝐢𝐭 𝐀𝐜𝐭𝐢𝐯𝐞 (𝐢𝐟 𝐩𝐨𝐬𝐬𝐢𝐛𝐥𝐞) Add a README. Share it on LinkedIn. Polish the UI. Push an update. A live project,even a smaller makes your resume way more attractive than an inactive GitHub repo. 5. 𝐖𝐡𝐲 𝐈 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 𝐭𝐡𝐢𝐬? Because I’ve lived both sides. I’ve built projects just for marks. And I’ve built things that got me interviews, referrals, and confidence. #Internship #Resumeshortlisting #Projectswithpurpose #SoftwareEngineering #Developerjourney #Portfolio #Hr #Softwaredevelopment #Resume #Github

“I’ve sent 260+ applications in 3 months on LinkedIn, Indeed, Naukri… but my inbox is still empty.” That is what a candidate told me last week. When I opened his resume, I knew why. The ATS could not read half of it. Here is what candidates don’t understand about ATS: An Applicant Tracking System does not “see” design. It reads structure. It ranks keyword relevance. It parses data into fields. If your resume cannot be parsed correctly, it is filtered out before a recruiter even knows you exist. Here is what actually makes a resume ATS-friendly, backed by how these systems work: 1️⃣ Use Standard Section Headings ATS scans for predictable headers like “Work Experience”, “Education”, “Skills”. If you write “Where I’ve Worked” or “My Journey”, parsing accuracy drops. Stick to conventional headings. 2️⃣ Match Keywords With Context, Not Stuffing Modern ATS tools use semantic matching, not just keyword counting. If the job description says “financial modeling”, writing it once under Skills is not enough. Show it inside bullet points with outcomes. Example: “Built 3-statement financial models to evaluate ₹20 Cr investment proposals.” 3️⃣ Avoid Text Inside Images, Tables or Graphics Many ATS systems cannot read text embedded in text boxes, tables, columns or icons. That stylish Canva layout may look impressive to you. To the ATS, it is a blank page. 4️⃣ Use Reverse Chronological Format Most ATS systems are trained to parse dates in reverse order. Inconsistent date formats like “Summer 2022” instead of “May 2022 – July 2022” reduce match accuracy. 5️⃣ Optimize File Type Unless specified otherwise, use .docx or a simple PDF. Some older systems struggle with heavily designed PDFs. 6️⃣ Prioritize Skills Based on Job Description ATS ranking is relevance-based. If Python appears 5 times in the JD and Excel once, reorder your skills accordingly. Relevance hierarchy matters. 7️⃣ Remove Headers and Footers Many ATS systems do not read content placed in headers and footers. If your contact details are there, they may not be parsed. 8️⃣ Keep It Single Column Multi-column resumes often break parsing logic. One clean column improves readability for both machine and human. 9️⃣ Customize Every Single Time There is no such thing as one universal resume. Each job requires alignment. If you are not tailoring, you are reducing your match score. Now tell me honestly: What is the biggest difficulty you are facing while trying to get your resume shortlisted? Is it no responses? Too many rejections? Confusion about keywords? Not sure if your format is ATS-safe? Drop your challenge in the comments and I will personally share specific feedback or a solution for you. #atsresume #resumetips #careercoach #interviewpreparation #jobsearchindia #ats #interviewcoach

Job hunting is tough we’ve all been there. Applications, interviews, rejections... it's a rollercoaster. But there’s one mistake I see freshers making over and over again: Using the same resume for every single job application. It’s tempting, I get it. You create one version of your resume, feel it’s your masterpiece, and send it out to every job opening. But let me tell you why this is a major red flag for recruiters. 📌 Why is this a problem? ▪️ In the tech world, job roles aren’t one size fits all. Even if two roles have the same title, the skills required can differ drastically depending on the company. ▪️ Example: A “Data Analyst” role at one company might focus heavily on SQL and Excel, while at another, they’re expecting Python and machine learning basics. ▪️ Even within the same role, some companies emphasize problem solving skills, while others prioritize specific domain expertise like marketing or e commerce. ▪️ Using a generic resume tells the recruiter, "I didn’t take the time to understand what you’re looking for." It’s a missed opportunity to show them that you’re exactly the right fit. ✏️ What should you do instead? Here’s how you can fix this: 🔆 Study the Job Description (JD): Think of the JD as a cheat sheet. It’s literally telling you what they want! Highlight the key skills, tools, and responsibilities mentioned. 🔆 Tailor Your Resume: Reorganize or reword your experience to match the JD. Use the same keywords the company uses. For example, if they mention “data visualization tools,” highlight your Power BI or Tableau experience instead of just saying “created dashboards.” 🔆 Add Relevant Projects or Skills: If the role mentions Python but your resume only shows SQL, consider adding a project where you used Python even if it’s just a personal one. 🔆 Optimize for ATS: Most companies use Applicant Tracking Systems to scan resumes. If your resume doesn’t match enough keywords from the JD, it might not even make it to a human recruiter. 🔆 Customize the Summary Section: If you include a summary or objective at the top of your resume, tweak it to align with the specific role. For example, mention the company’s name or emphasize the exact skills they’re looking for. 📌 Why It’s Worth the Effort I know tailoring your resume for every job feels like extra work. But this small effort can make a huge difference. It shows recruiters: ▪️ You’ve done your homework. ▪️ You care about this job, not just any job. ▪️ You’re proactive and detail oriented qualities every company values. ✏️ Final Thoughts Your resume isn’t just a document, it’s your first impression. Make it count. A generic resume might save you time, but a tailored resume can land you the job. 🔆What are your thoughts? Share in the comments. 🌐If you found this helpful, like and repost to reach others who might need it. ✳️Follow for more daily content!

Want to know how I helped my 4 students land interviews last week? By excelling at the art of resume alignment. Here's my exact process (save this for later. Let's make your resume naturally match job descriptions: 1. The Foundation Setup - Use JobScan or TargetMyResume for initial analysis - Create a "master resume" with ALL your experiences - Keep ATS-friendly formatting (no tables/graphics) 2. Strategic Keyword Integration - Copy job description into a word cloud generator - Identify top 15-20 recurring terms - Review your master resume for matching experiences 3. Natural Implementation Process - Start with your most relevant role - Weave keywords into achievement statements - Use exact phrases from job posting (when authentic) - Focus on action verbs that match required skills 4. Tools That Make It Easier - Grammarly for professional phrasing - Word cloud tools: WordClouds or WordArt - LinkedIn Skills Assessment (validate your keywords) - Google Doc's built-in thesaurus 5. The Reality Check Method - Read each bullet point out loud - Ask: "Would I say this in an interview?" - Remove any forced-sounding phrases - Keep industry-standard terminology only The key? Make every word count. Don't just stuff keywords - prove you've actually done what they're looking for. Remember: Your resume should read like a human wrote it, not like an AI generated it. Hope this helps you land more interviews in 2025. Save this post for your next application. P.S. What's your biggest resume challenge? Drop it below, and let's solve it together. Join me in the #LIPostingChallengeIndia and let's grow together!

Forget about stuffing your resume with buzzwords. Focus on showcasing real impact and measurable results. HR / Recruiters / Hiring managers don’t care if you’re a “highly motivated self-starter with excellent communication skills.” They care about: ✅ The problems you solved ✅ The results you delivered ✅ How you made your company better Instead of saying: “Responsible for managing client accounts.” Say: “Managed 15+ client accounts, increasing retention by 30% in 6 months.” Your resume isn’t a job description—it’s a sales pitch. I say this all the time because it’s true: you’re not just listing tasks. You’re selling your skills. I saw a candidate add the following in their resume, it read something along the lines of: “Developed a scalable platform for LLM models across multiple cloud environments (AWS, Azure), which supported numerous high-volume use cases. The platform was optimized for efficient token usage and facilitated large-scale semantic and full-text searches across knowledge bases, leading to $60 million in cost savings. It dynamically scaled to accommodate multiple intense usage periods, reaching a peak processing rate of 100 million tokens per minute.” My thoughts 💭: This is a great resume bullet because it goes beyond just listing responsibilities, it highlights real impact with concrete data. Instead of saying what they did, it shows: ✅ Tangible contribution – Built a scalable platform with clear business value. ✅ Measurable results – $60 million in cost savings and 100M tokens processed per minute. ✅ Technical depth – Demonstrates expertise in LLMs, cloud environments, and optimization. The hiring team don’t just want to know what you worked on. They want to see why it mattered. This is how you make your resume stand out. ✌️ Save this one for later & follow me – Eli Gündüz , if you want no-BS job search and career tips that actually work.

Most candidates approach interviews like an exam—listing accomplishments and reciting rehearsed answers. But top performers? They showcase how they think, problem-solve, and make decisions in real time. Why does this matter? Because hiring managers aren’t just assessing what you’ve done in the past—they’re evaluating how you’ll perform in their company. Here’s how to demonstrate strong thinking and problem-solving skills in interviews. 👇 1️⃣ Think Out Loud: Let Them In on Your Thought Process Many candidates give only the final answer, but hiring managers want to see how you got there. ✅ Break problems into logical steps. ✅ State assumptions and clarify unknowns. ✅ Weigh trade-offs before reaching a conclusion. Example (for a problem-solving question): Interviewer: “How would you improve our customer onboarding process?” ❌ Weak response: “I’d optimize the emails and add a tutorial.” ✅ Strong response: "First, I’d analyze current user behaviour—where are the biggest drop-offs? If it’s lack of clarity, I’d improve messaging. If it’s complexity, I’d test simplifying steps. Balancing efficiency with engagement would be key to reducing churn while maintaining quality onboarding." 🔹 Why this works: It shows structured thinking, data-driven decision-making, and strategic problem-solving. 2️⃣ Use a Clear Answer Framework A structured answer is easier to follow and more impactful. ✅ For behavioural questions, use STAR or CAR: ✔ Situation/Challenge – Set up the context. ✔ Action – What steps did you take? ✔ Result – What was the measurable impact? Example: Interviewer: “Tell me about a time you improved efficiency on your team.” "Our team struggled with long approval times (Situation). I introduced an automated tracking system to flag delays (Action), cutting turnaround time by 40% (Result)." 🔹 Why this works: It’s concise, clear, and focused on impact. Aim for an answer that's about 2 min long. 3️⃣ Show Adaptability: There’s No “Perfect” Answer Many interview questions don’t have a single right answer—hiring managers want to see how you adapt your thinking. ✅ Acknowledge challenges or constraints. ✅ Offer multiple solutions with pros/cons. ✅ Be open to feedback and adjust. Example (for a strategy question): Interviewer: “How would you expand our product into a new market?” "There are a few ways to approach this. We could start with a pilot launch in a single region to test demand, or we could form strategic partnerships to gain traction faster. The right approach depends on factors like budget, timeline, and market research insights." 🔹 Why this works: It shows flexibility, strategic thinking, and an ability to weigh options. Interviews Are Not Just About Your Experience—They’re About How You Think. ✔ Think out loud—explain your reasoning. ✔ Structure your answers—keep them clear and concise. ✔ Demonstrate adaptability—consider different solutions. 👉 Found this helpful? Reshare to help others master interview thinking!

Career Boost @ 11 — Day 13/30: Build a “Projects” Section That Shines 💡 "I don’t have job experience… so I have nothing to put on my resume"? 🤔 Here’s the good news: projects can be your secret weapon! 🚀 Employers don’t just want to see where you worked — they want to see what you can do. Whether it’s from your classes, a hackathon, a personal side project, or even a group assignment, projects show your skills in action. How to make your projects shine: 🔹 Focus on impact, what problem did you solve? 🔹 Include numbers wherever possible. 🔹 Mention tools, technologies, and methods used. Example: ❌ Weak: “Worked on IoT project for class.” ✅ Strong: “Developed an IoT-based water monitoring system, reducing manual checks by 40% using Arduino and Python.” Remember one strong project can make your resume stand out even without formal work experience! Action step for today: Add at least one project to your resume right now include: Project name Goal/problem solved Key technologies used Measurable results Your projects tell your story, make them work for you! #Project #Skills #SoftSkils #HardSkills #Employability #Careers

A client came to me with over 8 years of experience because they struggled to get interviews. They had 3 years in Data Science and 5 in Data Analytics & Engineering. Worked at a Fortune 500 company for the last 3 years. Their goal was to land a Senior Product Data Science role at a top-tier company. But despite the experience, only junior roles or interviews at small startups came through. Even after paying for a resume review from a coach (who didn’t understand the data field), the results weren’t there. So we got to work. Here’s what we fixed (that most mentors miss): 1. A one-page resume that undersold everything It was just one page and was missing two relevant roles. There wasn’t enough space to: • Highlight DA/DE skills that pair with DS expertise • Feature LLM/MLOps projects • Show ownership and growth from a Fortune 500 background So I proposed an A/B test. We built a two-page version, modeled after a past client who landed a $150K+ MLE role with less experience, and it worked. Resume rule of thumb: Under 5 YOE → 1 page Over 5 YOE → 2 pages But always test based on your context 2. Experience bullets that sounded junior Even with great experience, the bullet points lacked impact. We rewrote everything to show: • What they did, how they did it, and the measurable impact • A clear summary: title, YOE, accomplishments, and niche value proposition • Consistent formatting (4–6 bullets per role) • Unique action verbs, no repetition 𝗪𝗵𝘆? If your resume sounds junior, you’ll get junior responses. 3. No visibility on high-impact projects Projects were buried or had generic names with no links. We: • Gave them catchy titles • Linked directly on the resume, GitHub, and LinkedIn • Highlighted tools, outcomes, and real-world impact Visibility = credibility. With our job search dashboard, we tracked the A/B test results: New resume → interviews with Amazon, Meta, Google, and Apple Old resume → still stuck at startup-level roles Here’s everything we actually did: Updated resume in under 2 hours • A/B tested it before applying to top companies • Built connections and added value to get referrals • Reached out to hiring managers and recruiters • Practiced interview prep daily without cramming    𝗧𝗵𝗲 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: 1. Final round – Amazon 2. 2nd round (waiting) – Apple 3. 1st round (waiting) – Meta 4. 2nd round (waiting) – Google They went from overlooked to competing at the highest level, without adding more experience. Your resume isn’t just a job list. It’s your first impression. Your bridge to the next level. You can’t get results like this with generic advice. Every job search is unique. That’s why I tailor solutions to your exact situation. Drop your biggest resume questions in the comments, and I will respond to each of them.

📍One mistake I made in my early interviews was failing to present my projects clearly. I knew the work inside out, but I couldn’t explain it in a structured way — and that cost me opportunities. Over time, I realized that interviewers aren’t just looking for what you built, but how you communicate your impact. Here’s a framework that can help you explain any project with clarity: 🔹 Context / Background Start with a quick snapshot of the project. What was the situation? Why was the project important? Keep it concise, something you can explain in under a minute. 🔹 Problem You Tackled Highlight the exact challenge. What issue did you or your team face? Why was it worth solving? This sets the stage for your contribution. 🔹 Your Contribution Be specific about your role. Did you design, code, test, lead, or optimize? Talk about key tasks you handled, roadblocks you hit, and how you overcame them. 🔹 Solution Approach Walk through how you solved the problem. Break it down into steps so the interviewer can follow your thought process — from the initial idea to the final execution. 🔹 Tools & Tech Mention the technologies, frameworks, or methods you used. This shows your technical decision-making ability and how you apply the right tools for the job. 🔹 Results & Outcomes Quantify the impact if possible. Did you improve performance by 30%? Save the team hours of work each week? Secure positive client feedback? Numbers and concrete results make your contribution stand out. 🔹 Collaboration & Learning Close by talking about teamwork and personal growth. How did you coordinate with others? What new skills did you pick up? What would you approach differently if given another chance? ✅ Remember: An interview isn’t just about what you built — it’s about showing your ability to identify problems, craft solutions, and communicate them clearly. #InterviewTips #CareerAdvice #ProjectShowcase #SoftwareEngineering #InterviewPreparation #CommunicationSkills #TechCareers #ProblemSolving