Nickolas Tran - Software Engineer

Open to Opportunities
Nickolas Tran -

About me.

A recent graduate in Computer Science and Applied Mathematics at University of California, Santa Cruz with research experience in ML/AI and interests in full-stack software engineering using Python, TypeScript, and React, plus sports data analytics using SQL and Python.

San Bruno, CA

--:-- (America/Los_Angeles)

Tech Stack

C logo
Python logo
SQL logo
Java logo
JavaScript logo
TypeScript logo
HTML/CSS logo
LaTeX logo
MATLAB logo
PostgreSQL logo
React logo
Next.js logo
TailwindCSS logo
TanStack Query logo
shadcn/ui logo
Framer Motion logo
MongoDB logo
PyTorch logo
TensorFlow logo
NumPy logo
Pandas logo
Matplotlib logo
scikit-learn logo
Git logo
GitHub logo
Docker logo
Vercel logo
Kubernetes logo

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visits since Aug 2026

Experience

Where I've worked and what I built there.

Undergraduate Researcher @ University of California, Santa Cruz

Jan. 2026 - Jun. 2026

Artificial Intelligence Explainability Accountability (AIEA) Lab
Engineered an Explainable AI (xAI) autograder system to evaluate student source code, replacing binary output testing with structured feedback that identified 100% of core logic and syntax misconceptions in student submissions.
Developed automated semantic analysis pipelines that reduced grading turn-around time for instructors by 35%, optimizing curriculum evaluation through automated aggregation of performance trends in undergraduate courses.
Integrated formative feedback mechanisms based on educational research frameworks, improving student learning efficiency and boosting subsequent assignment scores by an average of 15% due to clearer outcomes.

Undergraduate Researcher @ University of California, Santa Cruz

Mar. 2025 - Dec. 2025

Artificial Intelligence Explainability Accountability (AIEA) Lab
Boosted autonomous vehicle (AV) simulation efficiency by 35% by architecting scalable testing environments using Docker containers and Kubernetes orchestration for parallelized adversarial sensor attack simulations.
Improved adversarial sensor attack detection accuracy by 20% by leveraging CARLA simulator integrated with a Kubernetes-based distributed testing pipeline.
Engineered a high-availability, fault-tolerant testing framework for AV simulations, utilizing container orchestration to increase system uptime by 25% and ensure rigorous, reproducible performance evaluation during stress testing.

Featured Projects

A few of the things I've built.

Stat Sightline

Featured
Apr. 2026

MLB advanced metrics and predictive modeling website.

PythonsklearnMatplotlibPostgreSQLTypeScriptData Queries

CodeCompass

Featured
Dec. 2025

AI powered documentation and chatbot for codebases using RAG.

PythonTypeScriptReactREST APIPostgreSQLSupabaseRAG

NBA Savant

Sept. 2026

Baseball Savant style NBA tracker with live scores, box scores, percentile rankings.

TypeScriptNext.jsPostgreSQLPrismaData QueriesREST API

TalentLens

Aug. 2026

Resume to job description matcher scoring fit from an uploaded PDF and a pasted posting.

TypeScriptNext.jsGemini APICSS

AV Fleet Operations

Aug. 2026

Tableau and Qlik dashboards tracking rides, incidents, and vehicle health across an autonomous fleet.

PythonTableauQlik SenseHyperAPIData Queries

MLB Standing Predictor

Jul. 2026

Model forecasting MLB final season standings.

PythonTypeScriptCSSReinforced Learning

Strikeout Prop Projections

Jul. 2026

Projection model for MLB pitcher strikeout prop lines.

PythonJavaScriptHTMLReinforced Learning

Chorus

Jan. 2026

Social music platform for logging, rating, and reviewing albums.

TypeScriptNext.jsTailwind CSSSupabasePostgreSQLREST API

AI Sentiment Analyzer

Jan. 2025

An analysis application tracking sentiment of Reddit posts.

PythonFlaskReactMongoDBVADERREST API

GitHub Activity

My contribution graph over the past year.