Laxmi Sai Maneesh Reddy Jupalle

Chicago, IL • Web 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 GitHub ljupa1@uic.edu

Current Focus

Web, ML, LLMs

Location

Chicago, IL

Open To

RA / Internships / Full-Time

Languages

Python, JS, C++, Java

About Me

Web 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). Previously, I worked at VMware by Broadcom as a Technical Support Engineer, solving complex integration issues at scale and improving developer–tester workflows. I’ve built ML projects spanning LLM document analysis, assault detection with YOLOv5, and healthcare triage using CNNs.

  • MS CS @ UIC (2024–2026)
  • Ex‑VMware by Broadcom
  • Focus: Web • ML • LLMs
  • Based in Chicago, IL

Skills

Languages

Python JavaScript C/C++ Java SQL HTML Rust Django

ML / Data

TensorFlow PyTorch scikit‑learn LLMs NLP / NLTK Data Analysis Tableau Power BI

DevOps / Cloud

AWS Azure Docker Jenkins Ubuntu Kali Linux APIs

Experience

Technical Support Engineer • VMware by Broadcom

May 2023 – Jul 2024 • Bengaluru, India

Enterprise • APIs
  • Offered technical expertise in APIs, certificates, profiles, and XML for smooth integration and performance.
  • Delivered robust technical support to thousands of clients, ensuring uninterrupted operations.
  • Conducted deep investigations into platform issues, contributing to improved enterprise mobility solutions.
  • Designed and enforced Jira ticket standards, reducing dev–QA back‑and‑forth by ~40%.
  • Recognized for Apple product compatibility expertise; mentored new team members in troubleshooting.

Associate Technical Support Engineer • VMware by Broadcom

Aug 2022 – Apr 2023 • Bengaluru, India

Support • EMM
  • Handled complex support requests and collaborated across teams to resolve platform issues.

Campus Ambassador • Ifortis Corporate

Mar 2020 – Jul 2020 • Bengaluru, India

Workshops • Mentoring
  • Conducted 30+ online programming workshops; facilitated peer mentorship for 50+ students.

Projects

Selected work

Insurease

LLM‑powered doc analysis with vector/graph search (Qdrant/Neo4j) to extract and compare insurance documents.

  • LLMs
  • Qdrant
  • Neo4j
  • Python

SheSecure

YOLOv5 pipeline detecting potential assault incidents in CCTV footage; ~92% precision (test).

  • YOLOv5
  • Python
  • Computer Vision

Jan Swasthya

Healthcare app using CNN (85% accuracy) and chatbot for faster initial assessment.

  • Django
  • CNN
  • Pandas
  • NumPy

Education

University of Illinois Chicago (UIC) — MS Computer Science

Aug 2024 – May 2026 • GPA: 3.80

AI, ML, Data Science, Networking, DBMS, DevOps

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

Jul 2018 – Jul 2022 • GPA: 3.80

ML, DL, NLP, HCI, DS, DAA, DBMS, Data Science, AI

Publications

Diabetic Retinopathy Detection using Machine Learning

5‑layer CNN to classify X‑ray images with 94.5% accuracy. Awarded International Best Researcher by ISSN.

Read publication

Contact

I’m open to research assistantships, internships, and collaborations.

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