AI Engineer

Hi, I'm Nathan

I build

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2xhackathon winner

F500AI engineering experience

2products live in production

4years to B.S. + M.S. in CS

Work Experience

AI Engineering Intern

May 2026 — August 2026

Valero Energy Corporation · San Antonio, TX

98%manual processing cut

95%eval accuracy

11h → 2hfull pipeline run

–Built an LLM-powered document extraction system with Docling and LlamaIndex, converting unstructured enterprise data into structured outputs.
–Engineered an automated evaluation pipeline in ClearML that continuously benchmarks extraction performance against a ground-truth dataset.
–Optimized the pipeline for parallel processing, cutting a full run over 400+ documents from 11 hours to 2.

Python · Docling · LlamaIndex · ClearML

Software Engineering Intern

June 2025 — August 2025

NRVE · Remote

3.5s → 40msaudio endpoint latency

15+REST endpoints shipped

–Architected and deployed a serverless backend on AWS (Lambda, API Gateway, S3) and MongoDB spanning music metadata, audio delivery, profiles, and journaling.
–Cut audio response time from 3.5s to 40ms with CloudFront edge caching, bypassing Lambda invocations for high-traffic requests.
–Built the full integration layer between backend services and the React Native app, including game state tracking across four mini-games.

AWS Lambda · API Gateway · CloudFront · MongoDB · React Native

Featured Projects

1st Place · Dev Season of Code (1,000+ participants)

Eco Quest

source

Gamified sustainability app that turns your real carbon footprint into personalized missions.

–LangGraph multi-step agentic workflow with Gemini 2.5 Flash generates carbon-reduction missions from survey responses and Climatiq CO2 calculations.
–Receipt pipeline uses Gemini Vision to extract grocery items, compute footprint, and recommend sustainable alternatives.

LangGraph · Gemini 2.5 Flash · Gemini Vision · Climatiq API · Supabase · Next.js

1st Place · Best Sustainability Impact, HackEarth

Green Gain

source

Home energy-efficiency planner that only recommends upgrades that actually pay off.

–LangGraph multi-agent workflow dynamically routes vector retrieval strategies by user geography for location-specific tax recommendations.
–Programmatic validation layer filters LLM recommendations against strict financial constraints — ROI under 30 years, positive monthly savings.

LangGraph · Pinecone · Supabase · Next.js

Currently Building

Autonomous Minecraft Agent

An AI agent that lives inside a real Minecraft world — you give it a goal in chat and it plans, acts, and adapts on its own.

–Agentic plan → act → observe → reflect loop driving a live game character, with persistent goals and strict LLM cost controls.

TypeScript · Mineflayer · Python · OpenAI · WebSockets

OPTCG Binder

live site

Drag-and-drop trading card binder editor with AI-powered card recommendations.

–Built a drag-and-drop binder editor in Next.js with configurable grid formats (1x1 to 4x4), multi-page layouts, autosave, JSON import/export, and semantic card recommendations returning 5-10 ranked suggestions via OpenAI embeddings and Upstash Vector.
–Architected a no-database v1 around an in-memory TTL-cached API proxy with per-IP rate limiting.

Next.js · TypeScript · OpenAI Embeddings · Upstash Vector

ACM Dev Lead · 7-person team

MeteorMate

source live site

AI-powered roommate matching platform for UTD students.

–Co-leading development; built a shared API abstraction layer standardizing backend endpoints and several frontend pages in Next.js.

Next.js · TypeScript · FastAPI · Supabase

Education & Leadership

Education

M.S. Computer Science — Intelligent Systems

The University of Texas at Dallas

Expected May 2028

Fast Track program

B.S. Computer Science

The University of Texas at Dallas

Expected May 2027

GPA 3.85 · Academic Excellence Scholar · Honors College

Leadership

ACM Dev Lead — MeteorMate

June 2025 — Present

Co-leading a 7-person team building an AI-powered roommate matching platform for UTD students.

Project Manager — AI MD

Sept 2025 — Dec 2025

Led a student team building a full-stack MERN app with a custom-trained medical AI model.

Get in Touch

Have a project? Let's connect.

I'm currently seeking opportunities in AI Engineering — agentic systems, LLM pipelines, and everything in between. Feel free to reach out for collaboration or just to say hi!

nathan.sujatno@gmail.com