Full-stack AI Engineer building real-world intelligent systems. Worked across the full stack, from backend logic to user interfaces, and bring a product-focused mindset to every project.
I'm a full-stack developer based in Ahmedabad, with a growing passion for AI and agentic engineering. Recently, I completed a specialized program in Data Science with Generative AI, which I've already put into practice. My stack is React JS on the frontend, backed by solid backend experience, but what truly drives me is solving complex problems with fast, analytical thinking. I don't just write code; I love building systems that think, adapt, and actually help people.
One project that best represents who I am is a Fitness AI Agent I built from the ground up. It handles user accounts, preferences, workout history, and even integrates a chat interface with an LLM. All while using agentic engineering principles to make it smarter. I didn't know everything when I started (Supabase was new to me), but I dove in, learned fast, and made it work. That project taught me a crucial lesson: revenue doesn't come from code alone, it comes from truly understanding user problems and solving them with the right tools. That mindset now shapes everything I build.
I'm a fast learner who genuinely loves tackling complex logic and picking up new technologies. Right now, I'm looking for a role where I can grow rapidly, both professionally and financially, while continuing to sharpen my mind, my health, and my craft. If you're building something ambitious and need a developer who thinks beyond just code, I'd love to connect and see how I can contribute.
P.W. Skills (Online)
Specialized program focusing on Machine Learning, Deep Learning, Natural Language Processing, Large Language Models (LLMs), RAG systems, prompt engineering, agentic workflow building, and multi-agent architecture integration.
Webknight Infosystem
R.C. Technical Institute (Ahmedabad)
Gained a solid foundation in computer architecture, data structures, algorithms, databases, web development, and software engineering principles.
Implemented transformer architecture from scratch (multi-head attention, layer normalization). Extended it to generate stories, melodies, and image patches.
Created a fitness agent with multi-agent architecture that can track user progress and provide personalized fitness advice.
A multi-agent architecture that facilitates rapid content research by searching, summarizing, and listing sources.
PyTorch
LangChain
LangGraph
OpenCV
Scikit-learn
Pandas
Numpy
FastAPI
Docker
Git
Github
Streamlit
Langsmith
ChromaDB
End-to-end machine learning pipelines. From raw structured data to optimized training (scikit-learn, PyTorch) and predictive deployment.
Multi-agent structures, RAG pipelines, and conversational flows built with LangChain/LangGraph for automated reasoning and intelligent task execution.
Advanced computer vision applications using OpenCV (tracking, detection, blurring) integrated with fast, scalable backends powered by FastAPI.
Have a project in mind or just want to say hello? My inbox is always open.