About

I’m Tino Trangia — a software engineer and data scientist working at the intersection of ML research and production systems. My research interests are interpretable ML, LLM reasoning and evaluation, AI alignment and safety, and applied NLP.

Education

University of California, San Diego — M.S. Data Science · GPA 3.97
Sep 2024 – Jun 2026 · La Jolla, CA

• Coursework: Probability & Statistics, Machine Learning, Interpretable ML, Databases, ML Systems, Trustworthy ML, Scalable Data Systems, Causal Inference, AI Safety, Deep Learning, NLP, Data-Centric AI

University of California, Berkeley — B.S. Electrical Engineering and Computer Science · GPA 3.76
Aug 2019 – May 2023 · Berkeley, CA

Experience

Graduate Reader — UC San Diego
Jan 2026 – Mar 2026 · La Jolla, CA

• Assisted in teaching data science algorithms (DSC 206) to 70+ graduate students.
• Proctored exams and evaluated student assignments, providing written feedback to reinforce conceptual understanding of topics such as graph clustering, gradient descent, and neural networks.

Software Engineer — FabricFeed
May 2023 – Dec 2025 · Sacramento, CA

• Prototyped an LLM-based report generation agent that processes natural language requests into structured plans with SQL query composition; reduced report generation time from one hour of manual work to under ten minutes.
• Built an inventory management and analytics dashboard tracking textile waste across dozens of streams, surfacing recycling trends and cost inefficiencies.
• Designed and built a full-stack ERP application (Django, PostgreSQL, Next.js) for a startup MVP — from database schema and API design through CI/CD deployment on Vercel.

Academic Intern, Data 8: Foundations of Data Science — UC Berkeley
Aug 2022 – Dec 2022 · Berkeley, CA

• Assisted in teaching introductory data science concepts to 30+ students in section.
• Reinforced concepts such as sampling, regression, A/B testing, and causality.

Research Assistant — Space Sciences Laboratory
Sep 2020 – May 2022 · Berkeley, CA

• Developed a Python application for isotope mapping with neutron imaging data (10+ GB datasets); reduced loading times by 70% and added support for custom user preferences to improve usability.
• Developed scripts for automated testing and visualization of space-borne sensors.

Academic Intern, CS 61B: Data Structures — UC Berkeley
May 2021 – Dec 2021 · Berkeley, CA

• Helped students complete lab assignments and major Java-based projects.
• Reinforced concepts in inheritance, trees, graph theory, and sorting.

Leadership

President, Engineering Student Council — UC Berkeley

• Represented 50+ engineering clubs; spearheaded implementation of a comprehensive set of policies for fair recruitment, financial accountability, and safety; speaker at major donor events.

Skills

Programming Languages: Python, SQL, Java, JavaScript, TypeScript, Golang, C++, C, R, HTML

Technologies & Frameworks: Git, AWS, Docker, FastAPI, Django, Next.js, React, PostgreSQL, Neo4j, PyTorch, TensorFlow, JAX, Ray, Spark, NumPy, HuggingFace, Pandas, scikit-learn, LangChain, LangGraph, Pydantic

Concepts: RAG, LoRA fine-tuning, agentic AI, reinforcement learning, context engineering, LLM evaluation