Chaitanya Kharche

Full-Stack Engineer | AI/ML | 3 YOE in GenAI & RAG Pipelines

$ whoami

MS CS @ Northeastern (May 2025) • 3 years building ML/AI systems, GenAI pipelines & scalable backends • Shipped LLM-powered products at FounderWay.ai & Bredcrums AI • Co-founded CUBYNE (5K+ downloads) • AWS Certified Solutions Architect • Available immediately for full-time AI Engineer roles (F1-OPT)

$ cat skills.json

languages

  • Python
  • JavaScript
  • Java
  • SQL
  • Kotlin

frameworks

  • React
  • Node.js
  • Django
  • Spring Boot
  • Flutter
  • Next.js

ml_ai

  • LangChain
  • Agentic AI
  • RAG
  • LLMs
  • Vector DBs (Pinecone, FAISS)

cloud

  • AWS (EC2, Lambda, S3)
  • Docker
  • Azure DevOps
  • Git

databases

  • PostgreSQL
  • MongoDB
  • MySQL
$ ls certifications/

AWS Certified Solutions Architect (Nov 2025)

AWS Certified Cloud Practitioner (Apr 2025)

$ cat experience.log
Software Engineer Co-op09/2024 - 12/2024

FounderWay.ai

Built Azure OpenAI RAG system (50% engagement boost), React/Next.js frontend, Llama matching algorithm (40% accuracy gain)

Software AI Developer Intern06/2023 - 08/2023

Bredcrums AI

Gen-AI platform with LangChain + GPT-4, Pinecone embeddings, AWS Lambda microservices (30% cost reduction)

Software Engineer II08/2021 - 08/2022

SDK Infotech

Optimized REST APIs (14% throughput gain), Docker/AWS deployments (20% resource efficiency), 98% test coverage

Software Engineer I09/2020 - 08/2021

SDK Infotech

Django payroll app, MongoDB query optimization (48.2s → 19s), AWS EC2 infrastructure

Lead Developer07/2020 - 05/2022

CUBYNE

Co-founded dev team, shipped GreenSat (5K+ downloads) + 5 production platforms using Flutter/Next.js/AWS

$ education --verbose
MS Computer Science09/2022 - 05/2025

Northeastern University

Focus: AI/ML, Algorithms, Mobile Dev, DBMS, OOD

BE Civil EngineeringCompleted

Savitribai Phule Pune University

$ ls ~/projects/

LegalEaze

BART-Large-CNN, LoRA, Llama-3.3-70B, H200 GPU

NLP legal text simplification achieving 7th-grade readability (6.9 FKGL). Trained on 500K+ samples from 59K documents.

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CurriculAI

Llama-3.1-70B, RAG, NetworkX, H200 GPU

Agentic RAG system for personalized 32-course degree plans. Uses BAAI/bge embeddings to semantically analyze 200+ courses.

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ProfitBook

LLMs, FastAPI, 4-bit Quantization

AI trading system with 40% backtested win rate. Real-time sentiment & financial analysis in <60s via microservices.

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GreenSat

Flutter, ML, Firebase

Precision farming app with ML disease detection. 5K+ downloads, full production deployment with REST APIs & CI/CD.

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