Raghu Talla

Computer Engineer @ Texas A&M

Software Engineering

System Architecture

Hardware Design

About Me

I chose to study computer engineering because I like to code but I'm also fascinated with how our hardware lets us do whatever we can imagine. In my free time, I like to watch YouTube videos explaining how our technologies work and other random stuff. Of note is Wintergatan , documenting his journey of making a musical Marble Machine. I find the combination of engineering challenges with music to be pretty cool.

I also like to play my violin, play badminton, and work out.

Experience

Software Development Engineer Intern

Amazon Web Services | May 2026 - August 2026

Automated a daily audit of 750K+ equipment configurations that flags ~11.6K policy violations per run with zero errors, replacing a manual, one-request-at-a-time review
Built a config-driven rule engine spanning 24 evaluation dimensions, mutation-tested, so checks can change through versioned configuration without a code deploy
Shipped a self-service console and cross-account API for authoring rules and viewing scan results, secured by a least-privilege 3-role access model
Designed failsafe defaults when two data sources disagree, catching correctness bugs in pre-production

Software and Data Engineering Intern

Aris Insights | May 2025 - August 2025

Reduced query failures by ~95% with a production analytics platform on ClickHouse with progressive query execution, guardrails, and fallback strategies across 7+ failure modes
Designed and implemented a production LLM query engine converting natural-language into validated, executable SQL with structured output parsing, rejection logic, and deterministic safety guarantees for analytics pipelines
Architected a multi-step LLM orchestration pipeline that automates analytics schema design from raw source databases, cutting manual data modeling from days to ~30 minutes while generating production-ready DDL, ETL, and metadata

GenAI Technical Advisor Intern

Scale AI | November 2024 - December 2025

Enhanced reasoning and code-generation of LLMs deployed by leading tech companies in RLHF workflows, improving accuracy and efficiency on competitive programming tasks

Skills

Languages

Python
Bash
TypeScript
C++
Java

Frameworks & Libraries

Spring Boot
Flask
Node.js
React.js

Tools and Databases

Git
Docker
Postman
GDB
Prometheus
AWS
Linux/Unix
OpenStack
PostgreSQL
ClickHouse

Featured Projects

Event-Driven Microservice System

December 2025

Built production-grade Spring Boot API with PostgreSQL, Flyway migrations, and Kafka event streaming
Implemented GitHub Actions CI/CD with containerized integration tests and Prometheus metrics

Haggle: AI Negotiation Trainer

TAMUhack 2026 - 3rd Place Overall

Built Next.js + SwiftUI iOS system streaming contactless biometrics to Gemini via Socket.IO every 2 seconds, adapting negotiation tactics based on real-time user stress

Multithreaded Networked System

November 2025 - December 2025

Implemented multiple TCP server processes in C++ using POSIX sockets, each managing a custom thread pool with mutexes and condition variables to handle parallel client requests
Designed a request/response protocol and implemented signal-safe shutdown with EINTR-aware I/O handling

GPU-Accelerated Conway's Game of Life

May 2025

Built C++/OpenCL Game of Life simulator with parallelized cell updates and GPU memory optimizations, achieving 2.5x speedup over CPU baseline

Agent Kitchen

March 2026

Built a Go + Bubble Tea terminal dashboard and Python + OASIS backend that evolves competing AI agents through social simulations
Implemented parallel scenario execution, LLM judging, natural selection, mutation, crossover, and SQLite persistence to produce battle-tested prompts

Single-Cycle ARMv8-Style Processor