GenAI

TL;DR I built a simple AI agent that uses natural language to solve complex supply chain optimization problems. By combining Google’s Agent Development Kit (ADK) for the framework and the Gurobi Optimizer for the heavy math, I created a tool that can interpret plain English, run optimizations, and even handle “what-if” questions. It’s a fun throwback to my MBA days, but way more powerful than my old Excel sheets. 🔗 Check out the project on GitHub: : Github ...

Mult Agent Orchestrated Blog writer using Google ADK, that learns and matches users writing style

AI-driven travel planner that provides unrestricted, natural-language-based search and itinerary generation.

Turning chaotic inboxes into structured, automated order & inquiry workflows

Custom GPT model simulating realistic product management interviews.

Uses multimodal LLMs for domain-specific image understanding in marketing, education, and healthcare.

Generates adaptive learning assessments dynamically using GenAI and proficiency tracking.

Enables intelligent chat and data extraction from internal documents using a locally deployed LLM with RAG and LangChain.

Real-time conversational booking assistant powered by Groq API and Streamlit.