Aadi Gupta
Davis, CA
about

Hey there! I'm Aadi Gupta — a Computer Science graduate from UC Davis. I love bringing ideas to life through AI projects, whether it's teaching machines to think smarter or making data a little less boring. When I'm not building, you'll catch me watching F1 and cricket edits, diving into car culture, trying out new food, or hunting for the perfect cup of coffee. Always curious. Always creating. I am looking to dive deeper into the AI world and expand my knowledge by picking up new experiences.

featured projects

Things I've built lately.

01 / Live
F1 Outcome Lab interface

Race forecasting, explained

F1 Outcome Lab

A live Formula 1 forecasting product with a LightGBM model, FastAPI service, and Next.js dashboard. The system joins multi-year race data, weather, qualifying pace, telemetry, and driver-team form into transparent next-race predictions.

Production forecasting across 21 engineered race features

LightGBMFastAPINext.jsSQLFastF1
02 / Live
TalentRank AI interface

Evidence-first recruiting intelligence

TalentRank AI

A production hiring workspace that turns resumes into auditable candidate rankings. It combines hard-rule screening, lexical and semantic retrieval, structured LLM assessment, calibration tooling, and protected-class guardrails.

Built end-to-end in one week with a four-worker evaluation pipeline

Next.jsOpenAIPostgreSQLPrismaRetrieval
03 / Live
NGuard interface

Agricultural compliance intelligence

NGuard

A nitrogen-risk decision tool that combines field geometry, live weather, nearby waterways, economic exposure, and regulatory context into an explainable compliance memo.

Geospatial risk analysis with Gemini and Groq fallback

Next.jsGeminiGeospatialWeather APIs
showing 3 of 3 featured builds
experience.log

Where I've worked and what I shipped.

View resume
newest first7 roles · 1 active
  1. Bring a physical ROS 2 autonomous-vehicle testbed from a nonfunctional baseline to repeatable closed-loop driving across planning, sensing, networking, and control.

    First
    autonomous movement
    Raspberry Pi 5 nodes
    4
    validation trajectories

    Integrated LiDAR, RGB-D camera, IMU, wheel encoders, Ackermann steering, and Stanley control across the physical vehicle.

    Resolved drive-topic, steering, transform, and CycloneDDS networking faults; automated launch, logging, recovery, and regression workflows.

    ROS 2PythonCycloneDDSRaspberry PiLiDARStanley Control

dates current as of Jul 2026

contact

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Open to roles, collaborations, and interesting problems. Drop a message and I'll reply as soon as I can.

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