Software Engineer | MLOps | Gen AI
Building agentic AI systems, scalable MLOps pipelines, and reliable cloud deployments.
I’m passionate about connecting deep learning research with real-world impact.
Experienced in LLMs, RAG, LangChain, and MLOps (Docker, K8s, CI/CD), with expertise in computer vision, generative AI, and distributed systems.
I enjoy designing robust pipelines, optimizing models, and shipping AI products that scale.
Languages: Python, Java, C++, TypeScript, SQL
AI/ML: PyTorch, TensorFlow, Scikit-learn, LLMs, GANs, Diffusion, RAG, LangChain
MLOps: Docker, Kubernetes, MLflow, DVC, Airflow, Kafka, PySpark
Cloud: AWS, GCP, CI/CD, Jenkins, Monitoring (Prometheus/Grafana)
Other: Data Engineering, ROS2, Git, Linux
- 📈🤖 AI Stock Advisor — Streamlit app for real-time stock analysis + LLM-powered insights
- 🧩⚡ TabGist — Chrome extension + FastAPI backend for summarizing web pages & YouTube transcripts
- 🩺 Medical RAG Chatbot — RAG-powered chatbot for reliable medical Q&A
- 📷 End-to-End MLOps: Image Classification — ML pipeline with SageMaker, MLflow, and DVC
- Master AWS & System Design
- Deploy more production-ready AI systems
- Contribute to impactful open-source AI/MLOps tools
⭐️ “Always building, always learning.”