A product-focused engineer specializing in taking cutting-edge AI (LLMs, Deep Learning) from concept to production. I leverage FastAPI, Python, and cloud services to build robust, scalable applications that solve data-driven challenges.
| Category | Key Skills & Tools |
|---|---|
| Generative AI & LLMs | LangChain, Ollama, Hugging Face, Prompt Engineering, VectorDBs (ChromaDB) |
| AI/ML & Deep Learning | PyTorch, TensorFlow, scikit-learn, Computer Vision, NLP |
| API & Backend | FastAPI (Expert), Python, REST APIs, Docker |
| Data Engineering | Pandas, SQL, ETL, Data Visualization (Matplotlib, Power BI) |
| Cloud & MLOps | AWS (S3, EC2, SageMaker), Git/GitHub, CI/CD, n8n Orchestration |
Next-generation financial intelligence chatbot. FinChat is a application demonstrating end-to-end development, from data ingestion to a user interface.
- Technology Highlights: LangChain, Vector Embeddings (for domain-specific knowledge), FastAPI backend, and scalable deployment architecture.
- Impact: Provides accurate, contextualized answers to complex financial queries, improving decision-making speed.
β‘οΈ Dive deeper into the FinChat repository to see the architecture.
- Fine-tuning custom Transformer models for specific business tasks.
- Advanced MLOps practices using Kubernetes and Kubeflow (Learning).
- Building high-performance APIs with Rust for production environments.
- Applied Data Science (WorldQuant University)
- Certified Blockchain Associate (Kerala Blockchain Academy)
- AWS Machine Learning Foundation (Udacity)
- JPMorgan Chase Software Engineering Virtual Experience (Forage)
Thanks for stopping by! Feel free to explore my repositories or drop me a message.