Pranav Chandar Sridar

Computer Engineering · Systems · AI

Building distributed systems, performance-critical infrastructure, and AI-driven products.

Computer engineering student focused on systems, infrastructure, and AI. Jazz pianist. Train seriously.

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About

A computer engineering student focused on systems, infrastructure, and AI.

Drawn to distributed systems where behavior under load is the real test.

More interested in how systems behave than how they look.

Off the keyboard, non-functional jazz and reharmonization. It shapes how I think about patterns and control.

Train seriously. The discipline carries over.

Featured

TalkTrack

"Talk once. Track everything."

iOS·Android·Expo·AI / ML·Voice

A voice-first AI system that converts unstructured input into structured fitness, nutrition, and recovery data. Built to eliminate friction and capture long-term behavioral patterns.

Watch Demo →

I build things I’d actually use

I care about behavior and not just output

If it breaks under pressure, it wasn’t built right

If it’s hard to use, it’s not done

I move fast, but I pay attention

— Where I've Been —

Experience

2025·Software Engineer Intern

Hughes Network Systems

Worked on containerized 5G systems at scale. Focused on performance tuning, DPDK, SR-IOV, and debugging multi-node distributed environments under real-time constraints.

5G·DPDK·SR-IOV·Kubernetes·C++
2025-2026·Backend Engineer

Terrapin Works (University of Maryland)

Built backend systems for a platform serving 25+ campus labs. Worked with GraphQL, OpenSearch, AWS Step Functions, and distributed workflows.

GraphQL·OpenSearch·AWS·Node.js

— What I've Built —

Projects

01/03

Dataflow Pipeline

Built a modular actor-based system in C++ for high-throughput image processing. Optimized execution using Linux perf and event-driven scheduling.

C++·Linux perf·Actor Model
02/03

Search & Optimization Engine

Implemented A*, Simulated Annealing, and Genetic Algorithms with performance-focused design and benchmarking.

A*·Simulated Annealing·Genetic Algos
03/03

Autonomous Vehicle Modeling

Built probabilistic systems using Particle Filters, Kalman Filters, and Bayesian Networks.

Particle Filters·Kalman·Bayesian Nets

Let's build something real.

Always open to interesting conversations, ambitious projects, and people who care about how things actually work.

pranav.umd22@gmail.com