Laxmi Sai Maneesh Reddy Jupalle

I build products at the intersection of full-stack web, machine learning, and LLM systems — from shipped platforms to local-first AI tools.

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MS CS · UIC Grad

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Projects shipped

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VMware · Broadcom

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Hackathon win

profile.ts
const engineer = {
  stack: ['Web', 'ML', 'LLMs'],
  status: 'Open to opportunities',
  location: 'Chicago'
};
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Next.jsPythonTypeScriptPyTorchReactLLM PipelinesSupabaseAzureRAG SystemsDocker Next.jsPythonTypeScriptPyTorchReactLLM PipelinesSupabaseAzureRAG SystemsDocker

Building reliable products with depth behind the UI.

Full Stack Developer with a strong ML background. I enjoy building sleek, accessible UIs and designing data-driven features with modern stacks.

I graduated with an MS in Computer Science from the University of Illinois Chicago (GPA 3.80), with coursework in AI, ML, Data Science, GenAI, and systems. Previously, I worked at VMware by Broadcom, solving complex integration issues at scale and improving developer–tester workflows. I'm now focused on full-time roles where I can build reliable, user-centric products with AI/LLM and web technologies.

MS CS · UIC (Graduated May 2026)
Ex-VMware by Broadcom
Focus: Web · ML · LLMs
Based in Chicago, IL

Where I've worked

University of Illinois at Chicago

Jan 2026 – May 2026 · Chicago, IL

Graduate Assistant – GenAI Team

GenAI · Healthcare
  • Architecting an end-to-end RAG-based clinical AI system using Python, Azure AI Foundry, and open-source LLMs (LLaMA, Mistral) with vector-database retrieval to automate medical justification reports for assistive technology equipment.
  • Developing secure, HIPAA-compliant data workflows to process, anonymize, and validate patient records from protected file servers, grounding AI-generated clinical documentation in verified inventory and patient datasets.

VMware by Broadcom

Aug 2022 – Jul 2024 · Bengaluru, India

Software Engineer (May 2023 – Jul 2024) · Associate Software Engineer (Aug 2022 – Apr 2023)

Enterprise · APIs
  • Leveraged expertise in APIs, certificates, and XML to streamline profile integration and enhance system performance.
  • Drove issue resolution for thousands of clients, ensuring uninterrupted operations and system uptime.
  • Conducted deep investigations into Apple platform issues, contributing to improved enterprise mobility solutions.
  • Standardized Jira ticket workflows with clear reproduction steps and environment details, reducing developer–tester communication loops by 40%.
  • Performed Apple–VMware environment troubleshooting using server log analysis and configuration audits to resolve complex compatibility issues.

Campus Ambassador · Ifortis Corporate

Mar 2020 – Jul 2020 · Bengaluru, India

Workshops · Mentoring
  • Directed 30+ technical bootcamps on Python and algorithms, running code reviews and hands-on debugging sessions for 200+ participants.
  • Spearheaded a developer upskilling program, curating resources and mentoring 50+ students in full-stack project deployment and architecture.

Selected work

Depth over volume — each project ships, solves a real problem, or both.

03 May 2026

PromptForge CLI

"Jest for prompts" — test-driven LLM prompt development with local-first execution and a self-hosted dashboard.

TypeScriptSQLite
GitHub →
04 May 2026

Sentinel MCP

Zero-config MCP server for local-first codebase health analysis — complexity, dependencies, dead code, git health.

MCPTree-sitter
GitHub →
05 May 2026

CashPulse

Privacy-first local cash flow forecasting and financial anomaly detection — 533 tests, fully on-device.

PyTorchXGBoost
GitHub →
06 Dec 2025

Golden Bridge

Ambulance pre-arrival system — 1st place, Microsoft-sponsored Hack with Chicago.

LangChainKafka
07

Insurease

LLM-powered insurance document extraction, comparison, and simplification with vector/graph search.

QdrantNeo4j
08

ResearchAI

Full-stack AI research assistant — upload papers, chat with summaries and Q&A.

ReactSupabase
09

SheSecure

YOLOv5 pipeline detecting potential assault incidents in CCTV footage — ~92% precision.

YOLOv5Python
10

Jan Swasthya

Healthcare app using a CNN and chatbot for faster initial assessment — ~85% accuracy.

DjangoCNN

Tools I reach for

Full-Stack WebExpert
Python / MLExpert
LLM Systems & RAGAdvanced
Cloud & DevOpsAdvanced
Computer VisionProficient

Languages

PythonTypeScriptJavaScriptC++JavaRustSQL

Frameworks

ReactNext.jsDjangoPyTorchTensorFlow

Cloud & Tools

AWSAzureDockerJenkinsHadoop

Spoken

EnglishTeluguHindiJapanese

Education & recognition

Aug 2024 – May 2026 · Graduated

MS Computer Science

University of Illinois Chicago · GPA 3.80

AI, ML, Data Science, Networking, DBMS, DevOps, GenAI, Economics in CS

2018 – 2022

B.Tech CST (AI)

Jain University · GPA 3.72

ML, Deep Learning, NLP, HCI, Data Structures, DBMS, Data Science

Publication

Diabetic Retinopathy Detection using ML

Jan 2022 – Jun 2022

5-layer CNN with 94.5% accuracy. Awarded International Best Researcher by ISSN.

Read paper →

Award

VMware vExpert

2023

Recognized for expertise and community contributions in virtualization and cloud infrastructure.

Let's build something useful.

Seeking full-time roles and open to collaborations.