I'm an AI engineer in the making with 3+ years of experience working with Python, TypeScript, cloud-native tools (AWS, Terraform, Kubernetes, etc.), and more! I specialize in building production-ready agentic AI systems and RAG pipelines that scale.
Currently freelancing and contributing to cutting-edge GenAI products. Let’s connect and collaborate!
Cloud & DevOps:
AWS (EKS, EC2, S3, RDS, Lambda), Terraform, Kubernetes, Docker, Jenkins, GitHub Actions, CI/CD
AI Infrastructure & LLMs:
RAG Pipelines, LangChain, Docling, Pinecone, Supabase, Vector DBs, Agentic Workflows, Prompt Engineering
Machine Learning:
PyTorch, TensorFlow, Scikit-learn, HuggingFace, Reinforcement Learning (DQN), Random Forests
Backend Development:
Node.js, FastAPI, Python, Java, PostgreSQL, MySQL, REST APIs, Bash
Frontend & Product:
React, Next.js, TypeScript, HTML/CSS/JavaScript, UI/UX Design, Agile, Jira, Figma, Client Communication
Certifications:
🧠 Hugging Face – Fundamentals of Agents (2025)
| Project | Description |
|---|---|
| nodejs‑eks‑infrastructure | AWS EKS deployment using Terraform & Kubernetes for Node.js apps with full automation and CI/CD. |
| clinical‑fact‑checking‑system | Multimodal RAG pipeline for verifying clinical claims via document/image parsing and semantic chunking. |
| deepseek‑agentic‑rag | Natural language interface for DeepSeek API Docs using GPT-4o-mini and Agentic RAG crawler. |
| Multilingual‑Voice‑Translation | Voice translation app across 7+ languages with real-time synthesis and context-aware GPT-4o processing. |
| Tetris‑DeepQLearning | Self-learning agent for Tetris using Deep Q-Learning (DQN), trained in PyTorch. |
I love translating complex AI concepts into scalable infrastructure—and I believe the future of AI is agentic, explainable, and open.