Available for opportunities

Shreesh
Kulkarni

Shreesh Kulkarni

Software Engineer | AI & Full-Stack

MSCS @ Northeastern University | 4.0 GPA

Currently pursuing a Master's in Computer Science at Northeastern University. Recently worked as a Software Engineer at Lowe's India. Prior experience includes full-stack development at Exinous Technologies. Recipient of the Richard E. Merwin Student Scholarship.


Experience

Software Engineer

Lowe's Services India Pvt. Ltd.

Jul 2023 – Jul 2025
  • Architected an inbound trailer optimization algorithm to streamline logistics for Regional Distribution Centers, reducing demurrage and detention costs by thousands of dollars each day.
  • Automated end-to-end manual planning workflows via a centralized orchestration platform, reducing manual coordination required by staff by 20% to manage high-volume trailer arrivals.
  • Promoted from Associate Software Engineer to Software Engineer; recognized with Spot and Individual Excellence Awards for delivering high-quality, scalable solutions.

Full Stack Engineer

Exinous Technologies

Apr 2021 – Jul 2023
  • Bootstrapped the core patient data collection application using Vue.js and Python Flask, scaling from 10 to thousands of patients.
  • Migrated infrastructure to the cloud using AWS, cutting infrastructure costs by 70% and improving reliability.
  • Trained and mentored a cohort of interns, guiding them through technical workshops and project-based assessments.

Certifications

The AI Engineer Path

Scrimba

Mar 2026

Comprehensive curriculum covering AI-powered application development, prompt engineering, LLM integration, and building production-ready AI tools.

MIT 6.S191: Introduction to Deep Learning

Massachusetts Institute of Technology

Jan 2026

Intensive coursework covering Computer Vision and NLP fundamentals taught by Alexander Amini.


Featured Projects

AI Coding Tutor Agent

Full-stack AI tutoring platform with a multi-agent LangChain architecture — dedicated agents for Socratic hint generation, sandboxed code execution via Judge0, and adaptive difficulty scoring. Features a RAG pipeline with embeddings for personalized tutoring based on user history.

FastAPI React LangChain Claude

pg-schema-explorer-mcp

Model Context Protocol server exposing any PostgreSQL database as a conversational interface for Claude Desktop. Implements an NL-to-SQL pipeline with dual-model Anthropic API strategy, multi-layered read-only safety architecture, BFS-based foreign-key relationship traversal, and an index optimization advisor.

Node.js PostgreSQL MCP Claude

Shizen — AI Financial Assistant

Multi-agent AI financial assistant with a RAG-powered backend using LangChain and Pinecone vector search. Features interactive dual-axis financial visualizations with D3.js and Recharts, and a FastAPI backend connected to live financial data APIs.

Next.js FastAPI LangChain Pinecone

CNN-Based Sudoku Solver

Convolutional neural network trained on synthetically generated Sudoku puzzle datasets to predict solutions from incomplete grids. Built end-to-end ML pipeline applying deep learning concepts from MIT 6.S191.

Python PyTorch CNNs

Other Projects

SportsTV Germany Data Warehouse

End-to-end data warehouse for a German sports streaming platform — Kimball star schema in MySQL, ETL pipeline in R processing ~1M streaming transactions, and BI reports in R Markdown for viewer engagement and subscription insights.

MySQL + R + ETL + Kimball Star Schema

Multi-Agent Pacman

Implemented minimax, alpha-beta pruning, and expectimax for multi-agent decision-making. Reduced search space by 60% via alpha-beta pruning while maintaining optimal move selection in adversarial game trees.

Python + Adversarial Search

Golang iLO REST SDK

RESTful SDK in Golang to interface with HPE Integrated Lights Out (iLO) devices via the Redfish protocol. Implemented modules for power cycling, remote console access, and firmware updates with comprehensive API documentation.

Go + REST + Redfish

Let's Build

Open to full-time roles at the intersection of AI and systems engineering.

kulkarni.shreesh12@gmail.com