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Software Engineer at Microsoft

Panshul
Jindal.

Building scalable AI systems, LLMs, RAG pipelines & multi-agent architectures. MS in Computer Science from UIUC.

Panshul Jindal - AI/ML Engineer at Microsoft
Panshul Jindal
AI/ML Engineer
10M+
Users Served
40%
Cost Reduced
98.9%
Recognition Acc.
4.0
GPA at UIUC

About Me

Currently Open To
🎙️ Speaking Engagements 🔬 Research Collaborations 🚀 Building something together

I'm an AI/ML Engineer building scalable AI systems and deploying LLMs to production. Proven track record in multi-agent architectures, retrieval-augmented generation (RAG), and LLM fine-tuning. MS in Computer Science from UIUC with a perfect 4.0 GPA.

Previously, I built AI-powered photo delivery infrastructure at Kwikpic serving 10M+ users, and led research projects at UIUC involving NLP-to-SQL systems and computer vision for structural diagnostics.

Outside of work, I love travelling and learning something new every day — whether it's a new technology, a new place, or a new perspective.

Oh, and I built Friday — my personal AI assistant. You can actually message him on WhatsApp. Fair warning though: he's very loyal. He'll only talk to his boss. (Try your luck ↗)

Where I've Worked

Oct 2025 – Present

Software Engineer

Microsoft Microsoft
  • Building AI-powered developer tools and cloud infrastructure
  • Working on scalable distributed systems serving millions of users
Azure Python Distributed Systems
Jun 2025 – Present

Software Engineer

Visiostack Visiostack
  • Built RAG pipeline with OpenAI embeddings and ChromaDB to convert NL queries into structured JSON
  • Fine-tuned domain-specific AI Agent via SFT on synthetic data generated using OpenAI's batch API
  • Applied chain-of-thought prompting and few-shot examples to improve query handling across use cases
OpenAI RAG Fine-tuning ChromaDB Python
Jun 2024 – May 2025

Research Assistant

UIUC RailTEC, UIUC
  • Developed LLM-powered query interface converting natural language to SQL for railway diagnostics
  • Designed monitoring framework combining PySpark pipelines with LLM-based anomaly analysis
  • Implemented modular backend microservices on Azure for real-time infrastructure health monitoring
LLM NL2SQL PySpark Azure Python
Jan 2023 – Dec 2023

Software Engineer

Kwikpic Kwikpic AI Solutions
  • Built LLM-driven personalization engine for multi-channel notifications, improving user retention
  • Developed REST APIs serving 10M+ users with 98.9% facial recognition accuracy
  • Achieved 40% AWS cost reduction via auto-scaling and serverless Lambda migration
LLM Node.js AWS MongoDB Computer Vision

Featured Projects

A selection of projects showcasing my expertise in LLMs, multi-agent systems, and AI infrastructure.

02
🧪

AutoTest – AI Code Coverage

Tool leveraging DeepSeekCoder to analyze codebases and synthesize unit tests. Raised coverage from 40% to 100% with auto-refinement loop.

DeepSeek CI/CD Pytest
03
💬

Eloquent AI

Full-stack RAG chatbot with Pinecone, WebSocket streaming, JWT auth.

FastAPI Pinecone OpenAI
View on GitHub
04
🧠

StackAI

Vector DB REST API with semantic search, kNN similarity, Cohere embeddings.

FastAPI Cohere Docker
View on GitHub

Tech Stack

LLMs & GenAI

OpenAI APIClaudeLangChainLangGraphRAGFine-tuningMulti-Agent

Languages

PythonGolangTypeScriptJavaC++SQL

ML & Embeddings

PyTorchTransformersSentence TransformersOpenCVScikit-learn

Vector & Databases

PineconeChromaDBFAISSPostgreSQLMongoDBRedis

Backend

FastAPIFlaskDjangoNode.jsgRPCREST APIs

MLOps & Cloud

AWS BedrockSageMakerAzureDockerMLflowW&B

Highlights & Awards

🏆

Perfect 4.0 GPA

Maintained a flawless academic record throughout MS Computer Science at UIUC — one of the world's top CS programs.

🚀

10M+ Users Impacted

Built and scaled AI infrastructure at Kwikpic serving over 10 million users with 98.9% facial recognition accuracy.

💰

40% Cost Reduction

Engineered serverless and auto-scaling solutions on AWS, cutting cloud costs by 40% while improving system reliability.

🎓

UIUC Research Publication

Conducted research at RailTEC lab applying LLMs to railway infrastructure monitoring and NL2SQL query interfaces.

 GitHub Activity
Panshul Jindal GitHub contribution chart
20+
Repositories
3+
Years Coding
5+
Open Source

Academic Background

Aug 2023 – May 2025

Master of Science, Computer Science

University of Illinois Urbana-Champaign logo University of Illinois Urbana-Champaign (UIUC)
  • GPA: 4.0 / 4.0
  • Focus: Machine Learning, NLP, Distributed Systems
  • Research: NL2SQL systems and computer vision for structural diagnostics at RailTEC lab
Machine Learning NLP Distributed Systems 4.0 GPA
Aug 2019 – May 2023

Bachelor of Technology, Computer Science

VIT Vellore logo Vellore Institute of Technology (VIT), Vellore
Computer Science B.Tech

Get In Touch

I'm always interested in hearing about new opportunities, collaborations, or just having a chat about technology.

Email

panshuljindal@gmail.com

LinkedIn

panshul-jindal

GitHub

panshuljindal

X (Twitter)

@JindalPanshul