I'm a Software Engineer interested in building AI-powered applications, backend systems, and developer tools.
My current focus is on Generative AI, RAG, Agentic AI, LLM applications, and scalable Python backend development.
An AI/ML project exploring practical machine-learning and Generative AI workflows.
An exploration of Retrieval-Augmented Generation and context-aware LLM applications.
Topics include document retrieval, LLM workflows, and building useful AI assistants.
Experiments around Agentic AI, tool usage, and LLM-based workflows.
An AI-powered interviewer that generates questions based on a job description and candidate resume, while maintaining conversational context and adapting follow-up questions.
Built with: Python · Streamlit · LangChain · Google Gemini
Backend service for a machine-learning application that predicts student performance.
- 🤖 Generative AI & LLM applications
- 🔎 Retrieval-Augmented Generation (RAG)
- 🧩 Agentic AI & tool calling
- 🔌 Model Context Protocol (MCP)
- 📈 LLM evaluation & observability
- ⚡ Async Python & scalable backend systems
- 🧠 Local LLM inference with Ollama
- 🏗️ System design for AI applications
Software Engineer — Infosys
Working on software engineering and AI-focused solutions involving Python, backend development, automation, and Generative AI.
Previously:
Application Developer — Accenture
Worked on enterprise applications, database development, automation, CI/CD, and production systems.
- Google Cloud Certified — Associate Cloud Engineer
- Oracle SQL / PL/SQL Certification
- DeepLearning.AI — Supervised Machine Learning
- Udacity — Programming for Data Science with Python
