Laxmi Sai Maneesh Reddy Jupalle – Full Stack Developer

01 — About

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

02 — Experience

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.

Full Stack Developer Intern · Ifortis Corporate

May 2020 – Aug 2020 · Bengaluru, Karnataka, India

Ed-Tech · Full Stack

—Built and deployed the company’s ed-tech web platform using full-stack technologies including Python backend services and responsive frontend interfaces, enabling scalable delivery of online workshops and coding sessions.
—Engineered site scalability improvements to handle growing user traffic, implementing backend optimizations and frontend performance tuning that supported a surge in platform adoption during peak enrollment periods.

03 — Projects

Selected work

All-in-one student platform for UIC with campus feed, marketplace, notes exchange, study matching, professor reviews, and an AI campus assistant.

uicloop.com

Feed

Market

Notes

Prof Reviews

Schedules

Ride Share

✦

Sparky AI — "Best CS electives this semester at UIC?"

10+ modules Realtime chat Groq powered

· Solo-built with Next.js 16, React 19, TypeScript, Supabase
· 10+ workflows + Groq-powered Sparky AI for campus Q&A

Next.jsSupabaseGroq

Live site →

Intelligent filesystem autopilot — watch, organize, deduplicate, and search your files automatically. Cross-platform desktop app with CLI, daemon, tray, and installers.

● flux status

● Daemon · uptime 3h 22m

● Service · auto-start

Index: 142,847 files (48.3 GB)

$ flux find "assignment"

→ 4 results in 12ms

88 unit tests Win · macOS · Linux

· Shipped v0.2 with background agent, system tray, egui settings GUI, and one-click installers (.exe, .dmg, .deb).
· Rust engine: real-time notify watcher, SHA-256 dedup, rule-based organize, and nucleo fuzzy search across 100k+ files in <50ms.

RustTokioeguiRayon

GitHub → Releases →

Privacy-first Chrome extension — browsing history becomes a local knowledge graph and searchable second brain.

· Manifest V3 + IndexedDB memory layer
· On-device semantic search with ONNX WASM embeddings

Chrome ExtONNXReact

GitHub →

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

TypeScriptSQLite

GitHub →

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

MCPTree-sitter

GitHub →

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

PyTorchXGBoost

GitHub →

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

LangChainKafka

LLM-powered website using GPT-Nano/Gemini Flash with vector/graph search (Qdrant/Neo4j) to extract, compare, and simplify insurance documents.

QdrantNeo4j

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

ReactSupabase

YOLOv5 pipeline detecting potential assault incidents in CCTV footage.

YOLOv5Python

Healthcare app using a CNN and chatbot for faster initial assessment.

DjangoCNN

04 — Skills

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

05 — Background

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.

06 — Contact

Let's build something useful.

Seeking full-time roles and open to collaborations.

@ ljupa1@uic.edu # (872) 357-7484

↗ Chicago, IL

in LinkedIn gh GitHub