Hello, I'm

Rahul
Challa

Software Engineer

I build performance-critical systems and developer tools—from a reinforcement-learning CPU autotuning framework to a VS Code extension used by 1,100+ developers. Currently an M.S. Computer Science candidate at UC Riverside.

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Rahul Challa at the Golden Gate Bridge
Rahul Challa
01About Me

Turning research and real workloads into reliable software

I'm Rahul Challa, a software engineer and graduate researcher at UC Riverside. My work spans micro-architectural profiling and reinforcement learning, distributed data pipelines, and production-grade backend services—always with an eye on measurable performance and correctness.

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Active users on my VS Code extension
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Parameter-match accuracy in CPU autotuning research
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Building footprints processed in a live streaming pipeline
When I'm not coding, I'm creating art, experimenting in the kitchen, or enjoying a great cup of coffee!
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02Education

Academic Background

Rahul Challa at his UC Riverside graduation
University of California, Riverside logo

Master of Science, Computer Science

Sep 2024 – Mar 2026

University of California, Riverside · In Progress

  • HEST Scholarship Awardee (2025)
  • Top 3 @ UCRPC (2024)
Institute of Technical Education & Research logo

Bachelor of Technology, Computer Science & Engineering

Nov 2020 – Jul 2024

Institute of Technical Education & Research · 3.7 GPA

  • Merit Scholarship Awardee
  • Top 15 @ Byte Verse Hackathon (2023)
  • Top 10 @ Xperiments by UST (2022)
  • Google Cloud Facilitator (2022)
03Experience

My Professional Journey

Software Engineer

Sep 2026 – Present

Saayam For All · Part-time · Remote

Graduate Researcher, Autotuning Framework for CPU Model Validation

Sep 2025 – Mar 2026

University of California, Riverside · Part-time

Concurrently: Student Assistant (STDT), UCR Auxiliary Services

  • Developing an autotuning framework for CPU model validation using reinforcement learning and microarchitectural simulators (MacSim, Sniper, Z-Sim).
  • Implementing multi-armed bandit algorithms to minimize simulation error across workloads.
  • Building scalable pipelines in Python on Google Cloud Platform for long-latency experiments.

Undergraduate Student Researcher, ASL Translation System

Feb 2024 – Jun 2024

Institute of Technical Education & Research · Internship

  • Created a real-time ASL-to-text translation system using OpenCV and MediaPipe.
  • Built a Random Forest Classifier on a dataset of 13K+ gesture images with 98.9% accuracy.
04Skills

What I Work With

Languages
Java Python TypeScript Go SQL JavaScript C++ Bash
Backend & APIs
Spring Boot Spring MVC Spring Data JPA Spring Security RESTful API FastAPI Node.js gRPC
Cloud & DevOps
AWS (Lambda, EC2, S3) Docker CI/CD (GitHub Actions) 12-Factor App Methodology Linux Git Vercel Render
Data & Messaging
PostgreSQL MongoDB Redis Apache Kafka Apache Spark DuckDB Supabase DynamoDB
Systems
Distributed Systems Microservices Architecture Performance Profiling (Intel VTune)
05Projects

My Recent Work

More on GitHub

Auto-synced nightly from my GitHub repos—nothing here is hand-edited.

06LeetCode

Problem Solving

07Contact

Let's Connect

Email

challaviswanadhrahul@gmail.com Write to me

LinkedIn

@rahulchalla13 Connect

GitHub

@rahul-challa View Profile

Location

San Francisco Bay Area View on map