Pranavkrishna Suresh

About

👋 Hey, I'm Pranavkrishna Suresh, a 20 year old founder based in Mountain View, CA! 🌉

🚀 I'm the founder of GETASAP, an AI-native distribution platform enabling same-day delivery of 🥕🍎🥦 fresh produce to thousands of retailers across the USA.

💸 We are backed by General Catalyst, YC, Paul Graham, and more!

🎯 Our mission is to enable produce distribution at the speed of compute. ⚡️

📍 Hometown: Milton, Georgia 🏡

Pranavkrishna Suresh

Education

Georgia Institute of Technology

August 2023 - May 2027

B.S. in Computer Science (Threads: Artificial Intelligence, System Architecture)

Relevant Coursework: Data Structures & Algorithms, Object-Oriented Programming, Machine Learning, Computer Organization, Perception & Robotics, Linear Algebra, Differential Equations

Y Combinator S25

Summer 2025

Founder, GETASAP

Building and scaling 8-hour B2B fresh-produce distribution for retailers and restaurants across the US & SEA, powered by proprietary micro-fulfillment network.

Experience

GETASAP

Dec 2023 - Present

Founder

Same-day delivery of produce to thousands of retailers across the USA.

SDE Intern - Amazon Web Services

Fall 2025

[Offer] AWS backend team for Prime services.

Software Engineering Intern - VDart

May 2024 - Aug 2024

AI R&D Division

Engineered ML pipeline to automate resume screening reducing processing time by 40%. Developed voice fingerprint model for secure candidate authentication, reducing interview fraud by 80%.

Founder - VigilTech

Nov 2023 - April 2025

$160K Seed Funding Raised

Automating repetitive police paperwork with verifiable AI, giving officers more time to protect and serve their communities.

Technical Contributions

Published RLSF paper, a fine-tuning framework leveraging symbolic feedback for token-level LLM supervision at GT Research Lab.
Won Google Solution Challenge representing USA among 8,000 global applicants with Therapute, an AI-driven physiotherapy platform.
Developed Spark, winner at UC Berkeley AI Hackathon, the largest AI hackathon in the US using HumeAI and Multi-Agent LLMs.
Built 1Record at Cornell Health RX Hackathon, vectorizing 100K EHR records for patient outcome prediction.
Multiple hackathon victories including MIT Quantum Computing, AI ATL, Regeneron HealthTech, and Congressional App Challenge Winner.

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