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Trojan3877/README.md

Python C++ PyTorch TensorFlow FastAPI Docker Kubernetes Terraform MLflow Prometheus GitHub Actions Linux MLOps Distributed Systems Real-Time Inference CI/CD Observability Security Scanning C# React TypeScript VS Code NPM Jira Slack Microsoft Teams GitHub Copilot Freshservice Hugging Face Transformers Snowflake Data Warehouse Streamlit Dashboard

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Hi, I'm Corey Leath

🚀 Software Engineering Intern @ WellBe
🤖 AI / ML Engineer (Production Systems Focus)
🎓 B.S. Software Development (In Progress) → M.S. AI Engineering → PhD (Planned)

About Me

I am an AI/ML-focused Software Engineer building production-grade, scalable systems that operate at the intersection of:

  • Machine Learning
  • Distributed Systems
  • Real-Time Data Processing
  • AI Infrastructure (LLMs, RAG, Vector Search)

Unlike traditional portfolios, I focus on end-to-end system design, not just models.

My work emphasizes:

  • ⚡ Real-time inference systems (Kafka, WebSockets)
  • 📊 Measurable performance (latency, throughput, accuracy)
  • ☁️ Cloud-native architecture (Docker, Kubernetes, Terraform)
  • 🔁 CI/CD + Observability (Prometheus, MLflow, GitHub Actions)

What I’m Building

I design systems that reflect real-world production environments, not notebooks.

AutoGuard AI Real-time autonomous vehicle safety system
→ Geofencing + streaming inference + anomaly detection

SentinelAI Production AI monitoring & inference platform
→ Drift detection, observability, system health tracking

LogSight-AI Real-time AIOps platform
→ Processes 50k+ logs/sec using clustering + anomaly detection

Quant LLM Assistant LLM-powered financial intelligence system
→ FAISS + Redis + Kafka + gRPC/REST inference
→ ~65ms latency, ~950 RPS load-tested 1

DeepSequence Recommender Personalized recommendation system
→ Moving toward sequence-based deep learning models

Engineering Experience (WellBe – Healthcare Tech)

  • Resolved production engineering tickets (data sync, permissions, workflows)
  • Worked across frontend/backend systems (C#, React, TypeScript)
  • Debugged real-world system failures and data inconsistencies
  • Practiced full SDLC:
    • Ticket-driven development (Jira, Freshservice)
    • Debugging + root cause analysis
    • Production issue resolution

Tech Stack

Languages: Python, C++, C#, TypeScript
ML/AI: PyTorch, TensorFlow, Hugging Face, FAISS
Data & Streaming: Kafka, Snowflake, Airflow
Backend: FastAPI, gRPC
DevOps: Docker, Kubernetes, Terraform, CI/CD
Monitoring: Prometheus, MLflow, OpenTelemetry
Frontend: React, Streamlit

Engineering Philosophy

I don’t build “projects” — I build systems.

Every repository is designed to demonstrate:

  • ✔️ Clean modular architecture
  • ✔️ Production readiness
  • ✔️ Measurable performance
  • ✔️ Real-world applicability

Career Direction

Currently targeting:

  • AI / ML Engineer (L3 → L4)
  • AI Systems / LLM Engineering Roles

Long-term focus:

  • Advanced AI infrastructure
  • Real-time intelligent systems
  • Big Tech / AI Labs (OpenAI, Google, NVIDIA)

Mission

“Building at the intersection of AI, systems, and real-world impact.”

Let’s Connect

Pinned Loading

  1. Facial-Emotion-Recognition-System Facial-Emotion-Recognition-System Public

    The **Facial Emotion Recognition System** is a robust computer vision pipeline that detects and classifies human emotions (e.g., happy, sad, angry, surprised) from facial images and video streams. …

    Python 21

  2. Scalable-Event-Driven-Ride-Sharing-Platform Scalable-Event-Driven-Ride-Sharing-Platform Public

    System Design architecture for ride-sharing platform

    Python 17

  3. DeepSequence-Recommender DeepSequence-Recommender Public

    Deliver personalized movie/show recommendations using collaborative and content-based filtering.

    Python 14

  4. SentinelAI SentinelAI Public

    Production AI Monitoring & Inference System

    Python 26 1

  5. LogSight-AI LogSight-AI Public

    LogSight-AI is a real-time AIOps platform that ingests Kubernetes logs at > 50 k lines/sec, tokenizes them with a C++ SIMD engine, clusters patterns on-the-fly using HDBSCAN + Isolation Forest

    Python 12

  6. AutoGuard-AI-Real-Time-Autonomous-Vehicle-Safety-Geofencing-Platform AutoGuard-AI-Real-Time-Autonomous-Vehicle-Safety-Geofencing-Platform Public

    Real-Time Autonomous Vehicle Safety & Geofencing Platform

    Python 9