Machine Learning Engineer with 3+ years of experience in Computer Vision, Natural Language Processing, and Reinforcement Learning.
I'm a Machine Learning Engineer with 3+ years of experience in Computer Vision, Natural Language Processing, and Reinforcement Learning. Passionate about building intelligent systems using Python to solve real-world problems across diverse domains. Always learning, always building.
- 🔭 Current Focus: Optimization of Deep Learning models, RAG systems with semantic search, autonomous control systems, and Rust.
| Domain | Technologies |
|---|---|
| Languages | |
| Deep Learning | |
| Vision & Robotics | |
| MLOps & Cloud | |
| Backend & Data |
| Project | Description | Stack |
|---|---|---|
| Boeing 737 RAG | An Advanced RAG system for the Boeing 737 Ops Manual. Integrates BGE-M3, BM25, and cross-encoder reranking. Achieved 80% Hit@1 accuracy with page-level citation tracking. | RAG LLM FastAPI |
| Mars Rock Detection | A real-time detection pipeline using YOLOv11 and ROS2. Achieved 0.71 mAP@50 in a Mars simulation environment, automating robotic navigation toward geological targets. | CV YOLOv11 ROS2 |
| Stock Trading Sim | A distributed trading platform with a price-time priority matching engine. Features microservices architecture with RabbitMQ for real-time order book updates via WebSockets. | System Design Dist-Systems |
| Fuel Route Optimizer | Optimized routing API combining geospatial data and OpenRouteService. Features cost estimation and route geometry generation to minimize fuel costs. | Algorithms Django |
| PyTorch Journey | Comprehensive Deep Learning roadmap documenting custom training loops, model optimization, and data preprocessing from scratch. | PyTorch Deep Learning |