About


Yuvraj Shiv

I'm an EECS undergrad at UC Berkeley, and a machine learning intern at Altametrics, where I build production demand forecasting for four national restaurant chains and led a team of interns on the data pipeline behind it.

I like building the layer underneath the thing everyone else uses — the renderer, the query optimizer, the datapath, the data-collection rig. Most of what I've enjoyed has come from implementing something I'd only ever used as a black box and finding out it's tractable. The Scheme interpreter did that to me first; the RISC-V datapath did it again a year later.

Outside of forecasting I co-founded Residual Robotics, where I own the hardware for a wearable robot-manipulation data rig — the data bottleneck in manipulation is a hardware problem before it's a learning problem. I'm also drawn to database internals and computer graphics.

Experience


Altametrics

Machine Learning Intern · Costa Mesa, CA

  • Built production ML forecasting for daily sales across four national restaurant chains — McDonald's, Taco Bell, Jack in the Box, Chipotle — covering thousands of locations.
  • Cut forecast error from 12% to 5%, which translates directly into tighter labor scheduling and lower food cost.
  • Led a team of interns on the data pipeline behind the model: scheduled crawlers behind a rotating proxy pool, a headless browser for pages that render client-side, and an ETL layer that lands everything in a cleaned, de-duplicated store.
  • Designed the schema and indexes — range partitioning by date and a composite B+ tree — and ordered the feature joins by selectivity to keep them fast.
  • Engineered 30+ predictive features from weather, zip-code demographics, holidays, seasonality, school calendars, and national events, plus macroeconomic indicators.
  • Worked on the full model lifecycle end to end: preprocessing, feature engineering, walk-forward cross-validation, hyperparameter tuning, and back-testing against historical sales.
  • Worked full-time across two consecutive summers — Summer 2025 and Summer 2026 — alongside summer-session coursework (CS 61C in 2025, CS 184 and CS 161 in 2026).
Python · XGBoost · LightGBM · CatBoost · Prophet · TimesFM
Summers 2025 & 2026

Residual Robotics

Co-founder · hardware · Berkeley

  • Co-founded a 4-person startup collecting mass UMI robot-manipulation data from skilled workers in India, to sell to robotics foundation model labs.
  • Own the hardware: design the handheld gripper as a parametric assembly in Onshape, and design a custom PCB around a Raspberry Pi Zero for the sensing stack.
  • Cut the CAD model from 636 g to 200 g through topology optimization, and did the design-for-manufacturing work to print all 16 parts with zero slicer supports.
Onshape · parametric CAD · topology optimization · DFM · Raspberry Pi Zero
2026 – present

MAG Services

Software Engineering Intern · Costa Mesa, CA

  • Built Java data-analysis tooling over 12+ weeks of restaurant sales and labor-cost data, surfacing scheduling inefficiencies across 20+ locations.
  • Designed a labor-optimization playbook adopted by operations managers that cut overtime and eliminated unprofitable shifts.
  • Delivered 15+ analytical reports and stakeholder presentations across 20+ recurring meetings.
Java · SQL · Excel
May – Aug 2023

COSMOS — UC Santa Cruz

Semiconductor Research Intern · Baskin School of Engineering

  • Selected for COSMOS Cluster 10: Semiconductor Materials and Device Engineering, a competitive UC summer research program; worked with solid-state device physics: bandgaps, charge carriers, pn junctions, and the operation of LEDs, transistors, solar cells, and memristors, plus semiconductor synthesis and device/IC fabrication.
  • Led a 4-person team to design and prototype a 4-watt solar panel.
  • Authored and presented a technical project on memristor applications in neuromorphic computing and ML hardware acceleration.
Jul – Aug 2023

Education


University of California, Berkeley

B.S. Electrical Engineering & Computer Science

Coursework across systems, ML, and EE — see the coursework page for the full list and what each course actually involved.

Foundations of Computer Graphics (CS 184)
Computer Security (CS 161)
Database Systems (CS 186)
Internet Architecture & Protocols (CS 168)
Artificial Intelligence (CS 188)
Discrete Mathematics & Probability Theory (CS 70)
Computer Architecture (CS 61C)
Data Structures (CS 61B)
Structure & Interpretation of Computer Programs (CS 61A)
Designing Information Devices & Systems I (EECS 16A)
Introduction to Circuits & Devices (EECS 16B)
Aug 2024 – 2028

Riverside City College / Norco College

Associate's degree · dual & concurrent enrollment

Earned an associate's degree and 60+ units of advanced math, computer science and physics concurrently with high school, at a 4.0 GPA. That transferred in as junior standing on day one at Berkeley, with everything outside the EECS major requirements already finished, so all that was left was the major itself.

Aug 2021 – May 2024

Activities


Cal Bhangra

Outreach Coordinator, 2025–26 season

Cal Bhangra is UC Berkeley's competitive Punjabi folk dance team. Bhangra is high-energy and physically demanding, and a competitive set is memorized choreography performed in tight formation — which means the actual skill being trained is precision under fatigue, in sync with seventeen other people. Weekly practices, recorded and reviewed.

2025 – 2026

AP Calculus AB/BC Head Teaching Assistant

Hillcrest High School · Riverside, CA

Supported instruction across two AP Calculus sections: graded coursework for 145 students, authored solution sets for 20+ unit tests, and ran the course's Google Classroom of lecture notes and review material.

2022 – 2023

American Red Cross — Southern California

Volunteer

Installed 1,000+ smoke alarms across 250 homes through the Sound the Alarm program, helped coordinate an ARC Expo for 200 attendees, and supported multiple blood drives.

2022 – Present