Hi, I'm
AI/ML Engineer · Data Science
Building Agentic AI Systems · RAG · LangGraph · LangChain · MCP · Multi-LLM Architectures · Intelligent Workflow Automation
I build intelligent systems that solve real-world problems through automation, reasoning, and data-driven decision-making — from production LLM applications to data science and full-stack software.
I am an AI/ML Engineer focused on building intelligent systems that solve real-world problems through automation, reasoning, and data-driven decision-making. Over the past few years, I have evolved from data science and software development into AI engineering, working on production-grade applications powered by large language models, agentic AI, retrieval-augmented generation (RAG), and intelligent workflow automation.
At Weam, I have architected multi-LLM solutions using OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA, and Hugging Face models; developed RAG systems and designed multi-agent workflows; built 10+ custom Model Context Protocol (MCP) integrations; and created end-to-end automation pipelines using LangGraph, LangChain, and n8n to streamline business processes, automate decision-making, and connect AI systems with external tools and data sources.
Beyond my professional work, I have built projects in document intelligence, hybrid search systems, recommendation engines, exploratory data analysis, and full-stack web applications. I also enjoy writing and storytelling, which helps me strengthen communication and creative thinking alongside technical work.
I am a lifelong learner and enjoy exploring multiple disciplines while deepening my expertise in AI and data science. I am always eager to contribute to projects involving AI, automation, software engineering, data science, and innovative technology.
Automators Lab
Weam · Ahmedabad, Gujarat
UnlimitedWP
JSPMotors
Retrieval system combining semantic embeddings with clustering-based search for context-aware document retrieval.
Exploratory analysis of personal chess games from Chess.com and Lichess to identify patterns in player behavior and outcomes.
Content and collaborative filtering-based recommendation engine for personalized movie suggestions.
Machine learning project predicting whether the Falcon 9 first stage will land successfully, using launch and booster data.
Deep learning model for classifying images, built as part of hands-on ML coursework and experimentation.
Classic ML classification problem — predicting passenger survival using feature engineering and model tuning.
Open-source work beyond my own repos — reporting bugs, digging into codebases, and giving back to the tools I use daily.
langchain-ai/langchain-community
While working with LangChain in production, I hit a bug in the community package, opened a GitHub issue to document it, and traced the problem to a working fix in the codebase.
I wasn't able to open a pull request — the repo required maintainer permissions for external contributors. Before access could be sorted out, the LangChain Community repository was shut down and archived, so the patch never made it upstream.
Even without a merged PR, the experience reinforced how I approach engineering: reproduce the bug, understand the root cause, propose a concrete fix, and try to give it back to the community.
Formal certifications and hands-on coursework that shaped my foundation in data science and engineering.
End-to-end data science track covering Python, SQL, data visualization, ML, and capstone projects — including web scraping, EDA, and model deployment.
Professional certificate covering Python scripting, Git, troubleshooting, automation, and cloud concepts for real-world IT workflows.
Exploring fundamental questions in philosophy — knowledge, morality, mind, and science — to sharpen critical thinking and reasoning beyond technical work.
New LJ Institute of Engineering and Technology
L.J. Institute of Engineering and Technology, Ahmedabad
A few things I enjoy outside of work.
Poetry, stories and ideas that stay.
Strumming, rhythm and learning the strings.
Patterns on the board, instinct on the pitch.
Brewing, experimenting and perfecting the cup.
Aesthetic shots, light and quiet moments.
New places and fresh perspectives.
Big questions and how we make sense of things.
Interested in collaborating, discussing AI/ML, or just saying hi? I'd love to hear from you.