About Me

The work behind
the profile.

A closer look at where I've worked, what I've actually built, and the tools I use to build it.

In Brief

I'm an AI Engineer with a background in data science and computer engineering. Over the past 2.9+ years I've worked across consulting, product, and internship settings — building everything from document chatbots and recruitment assistants to defect detection models and multi-agent supplier systems.

I'm most interested in the full stack of applied AI: understanding a messy problem, designing the right pipeline, picking the right model, and making the output actually usable. I hold an M.Tech in Data Science from MIT World Peace University (CGPA 9.60/10, 2nd rank holder) and a B.E. in Computer Engineering from A.D. Patel Institute of Technology.

I also regularly publish technical notes, architecture breakdowns, and hands-on LLM/ML experiments on Gradient Notes →.

Experience

April 2025 — Present

Associate Data Science Consultant

Emergys  ·  Pune, MH

  • Integrated Azure Bing Grounding with AI agents to enable real-time supplier discovery and web-based retrieval.
  • Developed supplier intelligence pipelines to extract, qualify, score, and structure supplier information from multiple sources.
  • Built evaluation pipelines for LLM and multi-agent workflows using Azure AI Foundry with custom procurement-specific evaluation metrics.
  • Developed N-tier supplier mapping to identify supplier relationships across brands, products, and supply chains.
  • Contributed to a LangGraph-based SQL Query Agent for natural language to SQL translation using schema-aware retrieval.
  • Developed an LLM-powered solution to extract and validate should-cost models from Excel datasets.
Dec 2023 — April 2025

AI and ML Engineer & Certified Bubble Developer

AGILF(x)  ·  Gandhinagar, GJ

  • Improved marketing prospecting workflows by developing AI-driven lead scoring and marketing performance forecasting solutions.
  • Built a PDF-based chatbot using Retrieval-Augmented Generation (RAG) to enable natural language querying of onboarding and internal documentation.
  • Developed an AI-powered recruitment assistant to analyze and evaluate candidate conversations.
  • Built a hybrid symptom checker chatbot using rule-based NLP and machine learning for symptom analysis and nearby doctor recommendations.
  • Developed a regression-based machine learning model to predict pilot risk scores for insurance-related use cases.
Sept 2022 — June 2023

Data Science Intern

Whirlpool Asia LLP  ·  Pune, MH

  • Developed a YOLOv5-based model to detect dents and scratches for quality inspection.
  • Automated PDF-to-Excel data extraction, improving efficiency by ~3x.

Skills

Programming

Python SQL R Java

Tools & Frameworks

LangChain LangGraph Flowise Hugging Face TensorFlow OpenCV YOLOv5 Streamlit Flask Databricks Power BI Tableau Bubble.io

Specializations

Machine Learning NLP Deep Learning Computer Vision Generative AI LLMs RAG AI Agents Multi-Agent Systems Prompt Engineering Model Evaluation Data Pipelines Data Visualization

Azure AI Services

Azure OpenAI Azure AI Search Azure AI Foundry Azure AI Services

Education

2021 – 2023

M.Tech in Data Science

MIT World Peace University  ·  Pune, MH

CGPA: 9.60 / 10.0  ·  2nd Rank Holder

2016 – 2020

B.E. in Computer Engineering

A. D. Patel Institute of Technology  ·  Anand, GJ

CGPA: 8.32 / 10.0

Interested in collaborating on AI/ML, GenAI, or open-source projects? Contact Me →