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

GenAI Technical Advisor Intern

Scale AI | November 2024 - December 2025

  • Enhanced reasoning and code-generation of LLMs deployed by leading tech companies, improving accuracy and efficiency on competitive programming tasks
  • Designed and executed RLHF workflows (reward model calibration, ranking tasks) to refine LLM outputs for reasoning, research, and multi-hop problems
  • Benchmarked state-of-the-art models on long-context and deep-research prompts, delivering insights that shaped enterprise deployment strategies

SWE + Data Engineering Intern

Aris Insights | May 2025 - August 2025

  • Engineered ClickHouse BI analytics platform with error prevention for 7+ error codes, reducing query failures by 95% and delivering production-ready reliability to fintech clients
  • Implemented a progressive complexity framework with automatic fallback strategies, achieving 100% uptime in customer deployments
  • Built data generation framework simulating transaction patterns and lifecycle events with Python, NumPy, and statistical modeling; optimized batch processing with PostgreSQL, improving processing efficiency by 65%
  • Collaborated in an Agile workflow using Linear for sprint planning, issue tracking, and feature delivery

Instructor

iCode | June 2024 - August 2024

  • Taught game development, web development, and UI/UX design to middle and high school students using Construct 3, Replit, and Figma
  • Designed and delivered hands-on lessons that guided students from foundational coding concepts to completed projects
  • Mentored students in debugging, problem-solving, and teamwork while developing strong communication and leadership skills

Skills

Languages

  • Verilog
  • OpenCL
  • C++
  • Assembly (RISC-V, ARM)
  • Bash/Linux
  • Java
  • MATLAB
  • Python
  • Typescript
  • R
  • SQL
  • HTML/CSS

Frameworks & Libraries

  • Spring Boot
  • Node.js
  • React.js
  • Next.js
  • Flask

Tools and Databases

  • Git
  • Vivado
  • SPICE
  • OpenStack
  • Docker
  • PostgreSQL
  • ClickHouse
  • GDB

Featured Projects

Secure UART Bootloader & Bare-Metal Application (RISC-V)

July 2025 - Present

  • Built a secure UART bootloader with flash programming, SHA-256/Ed25519 verification, and rollback protection
  • Developed a bare-metal application with custom linker/startup code and interrupt vectors
  • Created a Python host flasher (pyserial, COBS, CRC32) and debugged via JTAG and UART

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

Event-Driven Task API

December 2025

  • Built production-grade Spring Boot microservice system with PostgreSQL, Flyway migrations, and Kafka event streaming for asynchronous inter-service communication
  • Implemented CI/CD pipeline with GitHub Actions running integration tests against containerized PostgreSQL
  • Configured Prometheus metrics endpoint exposing JVM statistics, request latencies, and connection pool metrics for production observability

RAG LLM Dementia Reminiscence Therapy ChatBot

TAMUhack 2025

  • Developed RAG-based chatbot to generate personalized conversations for maintaining cognitive function in patients by incorporating family-provided memories
  • Leveraged Next.js, AWS S3 and Bedrock, and Amazon's Titan Text Embeddings V2 model

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
  • Developed multi-signal stress algorithm with EWMA smoothing and integrated ElevenLabs voice AI with mid-conversation context injection

Let's Connect

Feel free to reach out and say hi!

Email

raghu.vt6@gmail.com

LinkedIn

linkedin.com/in/raghutalla

GitHub

github.com/rtalla1