Hello, I'm

Rahul Challa

Software Developer

Software developer passionate about building impactful and efficient tech solutions.

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Rahul Challa
Turning ideas into impactful digital solutions

Hi, I'm Rahul Challa — a software developer with a passion for building smart, scalable tech. From AI-powered web apps to real-time data dashboards, I love solving real-world problems with code and creativity.

1+
Years of project and internship experience
15+
AI, data, and web development projects
8+
Teams & organizations worked with
When I'm not coding, I'm creating art, experimenting in the kitchen, or enjoying a great cup of coffee!
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Experience

My Professional Journey

Graduate Research Project, Autotuning Framework

July 2025 - Current

University of California, Riverside

  • Designed an autotuning framework for CPU using reinforcement learning, reducing simulation error to under 5%.
  • Built validation pipelines on Google Cloud Platform, enabling large scale CPU experiments with better reproducibility.
  • Integrated and benchmarked MacSim, Sniper, and Z-Sim simulators, enhancing cross-architecture performance validation.

Software Engineering Fellow

July 2024 - Sep 2024

Headstarter AI

  • Automated the CI/CD pipeline using Docker and GitHub Actions, reducing deployment cycle time by 25%.
  • Optimized PostgreSQL schemas and ETL workflows, cutting analytics query latency by 18% across production datasets.
  • Developed event-driven AWS Lambda microservices to handle 10K+ API requests/month, increasing system scalability.

Undergraduate Student Researcher, ASL Translation System

Feb 2024 - Jun 2024

SOA University

  • Led a team to build a real-time ASL-to-text translation system using OpenCV and MediaPipe, achieving 98.9% accuracy.
  • Developed a Random Forest Classifier on a custom dataset of 13K+ hand gesture images, improving inference time by 35%.
  • Engineered a modular inference pipeline, enhancing scalability and maintainability for future model integration.

Data Science Intern, Risk Management

Aug 2023 - Sep 2023

Coding Rajas Technologies

  • Deployed a real-time TensorFlow-based fraud detection model with a 94% F1-score, processing 1000 transactions/min.
  • Optimized preprocessing pipelines, reducing turnaround time by 40% and improving fraud detection precision.
  • Developed RESTful API endpoints and dashboards to visualize model outputs, reducing manual fraud review time by 30%.

Artificial Intelligence Intern, Model Training

Jul 2023 - Aug 2023

Pantech ProEd Pvt Ltd

  • Created a real-time image classification service using Flask and TensorFlow, achieving 85% accuracy on real world use cases.
  • Automated data labelling and model training pipelines with Bash scripts, reducing setup and retraining time by 50%.
  • Built and deployed a Flask-based REST API for real-time classification, enabling seamless model integration into web systems.

Skills

What I Work With
Programming:
Python C C++ Java JavaScript SQL
Web/Cloud:
Flask Django React.js Next.js AWS GCP Docker Kubernetes
ML/Data:
TensorFlow PyTorch Scikit-learn Pandas NumPy OpenCV
Systems:
Linux Distributed Systems OS Multithreading Networking
Databases:
PostgreSQL MySQL MongoDB DynamoDB
Tools:
Git REST APIs Figma

Projects

My Recent Work

TexMex - A LaTeX Editor for VS Code

Installs Version Rating

Engineered a VS Code extension enabling real-time PDF preview and auto-sync for .tex files, reaching 500+ active users. Optimized rendering and event-handling for 10K+ line LaTeX documents, cutting scroll latency to under 100ms. Published to VS Code Marketplace and maintained a 4.5 rating, showing consistent user satisfaction.

TypeScript VS Code API Node.js LaTeX PDF.js VS Code Marketplace

BitTrader - Self Supervised Trading Model

Deployed a self-training trading model executing 1,200+ simulated BTC trades with an 8.3% ROI using live Gemini data. Built a containerized FastAPI backend on Render Cloud with 99.9% uptime through GitHub Actions CI/CD. Integrated real-time performance tracking and Telegram alerts to monitor trade outcomes and strategy seamlessly.

FastAPI Docker Algorithmic Trading Machine Learning GitHub Actions CI/CD Render Cloud

Distributed API Rate Limiter

Engineered a distributed Go rate limiter handling 100k+ RPS via Token Bucket, ensuring sub-millisecond latency. Implemented atomic operations using Redis to eliminate race conditions, reducing API abuse by 99%. Built a Dockerized gRPC/REST microservice to support diverse clients, cutting infrastructure overhead by 40%.

GoLang Redis gRPC Docker CI/CD REST APIs Distributed Systems

FinSight - AI-Powered Personal Finance Platform

Engineered a platform that processes bank statements using FastAPI, PostgreSQL, and Redis generating insights. Developed a ML transaction classifier with 94% category accuracy across major spend types. Integrated an AI insights engine generating personalized budgets, reducing overspend.

React FastAPI PostgreSQL Redis Machine Learning AI

Profiles

My Digital Footprint

Contact Me

Let's connect!

Email

Write to me

LinkedIn

@rahulchalla13 Connect

GitHub

@rahul-challa View Profile

Location

San Francisco, California View on map