LSMRJ
Laxmi Sai Maneesh Reddy Jupalle

Chicago, IL • Full Stack Developer • AI & LLMs

Hi, I'm Laxmi Sai Maneesh Reddy Jupalle

I build modern, performant web experiences and work with machine learning, LLM pipelines, and scalable systems.

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LinkedIn ljupa1@uic.edu

Current Focus

Web, ML, LLMs

Location

Chicago, IL

Open To

Full-Time Roles

Languages

Python, JS/TS, C++, Java

~$

About Me

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

I’m pursuing an MS in Computer Science at 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 (2024–2026)
  • Ex‑VMware by Broadcom
  • Focus: Web • ML • LLMs
  • Based in Chicago, IL
  • Seeking full‑time roles

Skills

Programming Languages

C C++ Python Java JavaScript TypeScript Rust SQL HTML CSS

Frameworks & Libraries

React Django TensorFlow PyTorch Scikit‑Learn NLTK Hadoop

Cloud, DevOps & Tools

AWS Azure Docker Jenkins APIs LLMs Ubuntu Kali Linux

Analysis

Machine Learning Data Analysis Power BI Tableau MS Office

Languages

English Telugu Hindi Japanese

Experience

VMware by Broadcom

Aug 2022 – Jul 2024 • Bengaluru, India

Technical Support Engineer (May 2023 – Jul 2024) • Associate Technical Support 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.

Projects

Selected work

Golden Bridge

Dec 2025

Ambulance pre-arrival system. Winner — 1st place at the Microsoft‑sponsored Hack with Chicago.

  • Architected multi-agent orchestration with LangChain + GPT-4 for intelligent triage automation.
  • Engineered real-time vitals streaming with Pathway, Kafka, FastAPI, and WebSockets; deployed on Azure with Docker.
  • LLMs
  • LangChain
  • GPT-4
  • Kafka
  • FastAPI
  • Azure
  • Docker

Insurease

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

  • Built a modular toolchain (Extract, Query, Analyze, Compare) to refine queries, parse documents, and enable intelligent decision‑making.
  • LLMs
  • GPT‑Nano
  • Gemini Flash
  • Qdrant
  • Neo4j

ResearchAI

Full‑stack AI research assistant for uploading papers and chatting with summaries and Q&A.

  • Built a React/TypeScript + Node.js app with drag‑and‑drop uploads and real‑time chat.
  • Architected a secure multi‑LLM backend (JWT, RLS, Supabase) and responsive UI with Tailwind CSS.
  • React
  • TypeScript
  • Node.js
  • Supabase
  • Tailwind

SheSecure

YOLOv5 pipeline detecting potential assault incidents in CCTV footage.

  • Achieved ~92% precision on test data for incident detection.
  • Built a computer-vision workflow optimized for surveillance inputs.
  • YOLOv5
  • Python
  • Computer Vision

Jan Swasthya

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

  • Reached ~85% accuracy on the CNN model.
  • Combined model predictions with a guided triage chatbot flow.
  • Django
  • CNN
  • Pandas
  • NumPy

Education

University of Illinois Chicago (UIC) — MS Computer Science

Aug 2024 – May 2026 • GPA: 3.80

Artificial Intelligence, Machine Learning, Data Science, Networking, DBMS, DevOps, GenAI, Economics in CS

Jain (Deemed‑to‑be) University — B.Tech CST (AI)

Jul 2018 – Jul 2022 • GPA: 3.72

Machine Learning, Deep Learning, NLP, HCI, Data Structures, DAA, DBMS, Data Science, AI

Publications

Diabetic Retinopathy Detection using ML

Jan 2022 – Jun 2022
  • Designed a 5‑layer CNN to classify X‑ray images with 94.5% accuracy.
  • Published and awarded International Best Researcher by ISSN.
Read publication

Awards

VMware vExpert

2023

Recognized for expertise and community contributions in virtualization and cloud infrastructure technologies through technical evangelism and thought leadership.

Contact

I’m seeking full‑time roles and open to collaborations.

Chicago, IL
ljupa1@uic.edu (872) 357‑7484 GitHub LinkedIn