About

AI/ML Engineer with production experience building intelligent systems across EdTech, healthcare, construction, and enterprise automation. Specialises in end-to-end ML pipelines, LLM-powered applications, computer vision, and cloud-native deployments. Proven ability to lead cross-functional teams, architect scalable AI solutions, and deliver measurable business impact — from automated assessment platforms and construction forecasting to real-time diagnostic systems and conversational AI.

Experience1

1. MI

   Junior Software Engineer

   Dec 2024 – Present

   Mindguard Innovations Pvt. Ltd.

   Spearheaded development of an AI-Powered Scholarship Assessment Platform to automate academic merit evaluation at scale. Integrated an LLM-based Question Generation Engine that dynamically synthesizes curriculum-aligned questions across difficulty levels and subject domains, and built an AI Proctoring System using computer vision and behavioral analytics. Delivered a cloud-deployable architecture with real-time administrator monitoring dashboards.

Projects4

• Employee & Leave Management System (MCP-Based)

  Architected a Model Context Protocol (MCP) server automating HR workflows.

  • MCP
  • REST APIs

• Interactive QA Bot (RAG System)

  Built a real-time RAG-based QA system over enterprise PDF corpora using Pinecone for semantic vector retrieval.

  • RAG
  • Pinecone
  • LLM

• CDOC – Conversational Document Intelligence Assistant

  Developed a locally-hosted document assistant using Llama 3 and ChromaDB.

  • Llama 3
  • ChromaDB

• Gesture-Based Music Control System

  Built an embedded AI system on Raspberry Pi translating ultrasonic sensor gesture inputs.

  • Raspberry Pi
  • Signal Processing

Education2

• CF

  Post Graduate Diploma in Artificial Intelligence (PG-DAI)

  2024

  Centre for Development of Advanced Computing (C-DAC)

  General

• RA

  Bachelor of Engineering – Electronics Engineering

  2023

  Ramrao Adik Institute of Technology, University of Mumbai

  General