AI Engineering Intern @ Qualcomm · San Diego

Hi, I'm Akash Challa.

Computer Science graduate student at the University of Florida and AI engineer crafting intelligent multimedia systems, fair machine learning, software development and scalable full-stack applications.

View my work → Download résumé
Portrait of Akash Challa
4.0 GPA · UF
AI/ML Researcher
Software Developer
Full-stack Developer
About me

Engineering intelligence,
fairly and at scale.

I'm a Computer Science master's student at the University of Florida, currently in San Diego as an AI Engineering Intern at Qualcomm, where I build AI-powered multimedia applications that bring real-time audio, video, and computer vision to intelligent edge devices.

At UF I work as a Research Assistant on fairness algorithms — improving prediction accuracy while ensuring equitable outcomes across diverse user groups. Before that, my path ran through machine learning research at the National University of Singapore, software engineering at Tech Mahindra, and full-stack development at Challa Constructions.

I'm driven by one idea: technology should be powerful and fair. Whether I'm reducing bias in an algorithm or shaving milliseconds off a pipeline, I love solving hard problems with elegant solutions.

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+ programming languages
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major projects shipped
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certifications earned
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GPA at UF
Career path

Experience

From research labs to industry — four countries, one through-line: building intelligent systems people can trust.

AI Engineering Intern
May 2026 — Aug 2026
Qualcomm · San Diego, CA
  • Building AI-powered multimedia applications with Qualcomm Intelligent Multimedia SDKs — real-time audio, video, and computer vision on Qualcomm platforms.
  • Integrating and evaluating SDK-based multimedia pipelines, optimizing performance and improving developer workflows for intelligent edge devices.
Research Assistant
Aug 2025 — Apr 2026
University of Florida · Gainesville, FL
  • Developing personalized adjustments within fairness algorithms — +10% prediction accuracy with equitable outcomes across diverse user groups.
  • Reduced bias in customer targeting for direct-marketing campaigns by 5% using novel fairness algorithms, validated on synthetic benchmarks and industry datasets.
Full Stack Web Developer
Aug 2024 — Dec 2024
Challa Constructions · Hyderabad, India
  • Architected and deployed a responsive company website (React.js, Node.js, Express.js, PostgreSQL), increasing web visibility and projected engagement by 30%.
  • Modernized testing with end-to-end Cypress coverage of 90% of critical flows, cutting bug reports by 25%.
Software Engineering Intern
Jul 2024 — Aug 2024
Tech Mahindra · Bengaluru, India
  • Configured SAP modules and shipped a company-wide expense tracking app for 100+ employees, targeting 10–15% annual expense reduction.
  • Engineered automated testing frameworks with Jenkins, resolving 5 complex issues and cutting deployment time by 35%.
Machine Learning Intern
Jun 2023 — Jul 2023
National University of Singapore · Singapore
  • Analyzed 100K+ structured and unstructured records with Python and deep learning, boosting reporting accuracy by 20%.
  • Earned AWS Data Analytics (Big Data) and NUS Deep Learning certifications; increased data-analysis speed by 40% on project work.
Selected work

Featured Projects

A few things I've designed, trained, and shipped.

RSVP

Gator Hive — Event Management Platform

A platform managing 100+ student events per semester at UF, with streamlined tracking, registration, and automated notifications that lifted student engagement by 50%.

React.jsGoPostgreSQL
View on GitHub →
"loved it" "5 stars" "terrible" "okay-ish" NLP 90% acc

Intelligent Text Summarization & Sentiment Analysis

An NLP pipeline trained on 3 million Amazon reviews — 90% sentiment accuracy, serving real-time analysis of 50k+ daily reviews at under 200 ms latency.

NLPPythonNLTKML
View on GitHub →
+18% vs baseline · 10,000+ records

Gastronet — Medical AI Diagnostic System

An AI model combining patient data and medical imaging, achieving 18% higher accuracy than baseline, with distributed pipelines processing 10,000+ medical records.

AIDistributed SystemsPython
Built at NUS →
AR WAYFINDING · −30% NAV TIME

Augmented Reality Navigation System

A real-time AR navigation prototype with live wayfinding overlays, cutting navigation time by 30% in indoor environments.

Unity 3DC#Computer Graphics
View on GitHub →
Toolbox

Skills & Technologies

The stack I reach for, from model training to production deploys.

Languages

PythonJavaCC++Golang TypeScriptJavaScriptC#SwiftRubyRust

Frameworks & Libraries

React.jsNode.jsExpress.jsVue.jsAngular DjangoSpringTensorFlowPyTorchThree.jsPySpark

Tools & Cloud

AWSDockerJenkinsGitLinux CI/CDCypressFigmaAgile

Databases

PostgreSQLMySQLMongoDBDynamoDBRedisOracle
Background

Education

M.S. in Computer Science
University of Florida · Gainesville, FL
May 2025 — Dec 2026 (expected)
GPA 4.0 / 4.0
B.Tech in Computer Science & Engineering
Mahindra University · Hyderabad, India
Aug 2021 — Aug 2025
Say hello

Let's build something
intelligent together.

I'm always open to new opportunities, collaborations, or a good conversation about AI, fairness, and full-stack engineering.

Email me → Download résumé
challaakash5050@gmail.com linkedin.com/in/akash-challa github.com/akashchalla