- 💼 Current Role: Senior AI/ML Engineer - designing and deploying ML systems at scale
- 🔬 Focus Areas: Applied AI, MLOps, Large Language Models (LLMs), and intelligent automation
- 🧩 Core Strengths: End-to-end ML lifecycle (data → model → deployment → monitoring)
- 🌍 Goal: To advance AI systems that are ethical, explainable, and production-grade
- 🤝 Open to Collaboration: Open-source, AI research, and real-world ML applications
- 🐳 Advanced DevOps Practices: CI/CD, containerization, orchestration.
- 🤖 Machine Learning & AI: Leveraging AI for real-world applications.
- 🔗 Blockchain Technology: Exploring decentralized solutions and use cases.
- Deep Learning (PyTorch, TensorFlow, Keras)
- Natural Language Processing (LLMs, Transformers, RAG, LangChain)
- Computer Vision (CNNs, OpenCV, YOLO, segmentation)
- Model Deployment (TensorRT, ONNX, TorchServe, FastAPI)
- Reinforcement Learning & Generative AI (Diffusion, LLM fine-tuning)
- CI/CD pipelines (GitHub Actions, Jenkins)
- Containerization & orchestration (Docker, Kubernetes)
- Model monitoring, A/B testing, and continuous retraining
- Cloud platforms: AWS, GCP, Azure
- Data pipelines: Airflow, Kafka, Prefect, MLflow
- Full-stack: Python, Go, TypeScript, React, Node.js
- RESTful APIs, microservices, serverless architectures
- Databases: PostgreSQL, MongoDB, Redis
- System design, scalability, and distributed computing
| Project | Description | Tech Stack |
|---|---|---|
| 🧠 Matrix Language | A human-readable image format that encodes pixel color data as matrix hex values for AI data visualization and interoperability | Python, NumPy, OpenCV |
| 💬 Google Gemini UI | A simple, elegant web interface for interacting with Google Gemini models | TypeScript, React, TailwindCSS, Gemini API |
| ⚙️ MCP Server Website | A modern web interface for multi-client ML service orchestration | Node.js, Next.js, Docker |
| 🌐 OpenAI Go Language | Go-based SDK for interacting with OpenAI APIs | Go, RESTful APIs |
“AI systems should not only be intelligent — they should be reliable, interpretable, and aligned with human values.”
I believe in blending technical depth with engineering discipline to craft solutions that scale responsibly and meaningfully impact society.