Caltech EE 10
8-bit CPU from scratch
Designed the control unit, ALU, program-memory and data-memory access units in Verilog and ABEL. FSM control handles CALL/RTS subroutines and branching with synchronized memory reads and writes.
● Caltech EE (Intelligent Systems) ’27
GABO
ZHANG
I build ML models and the hardware they run on, for problems with noisy data and real constraints.
Point72BlackstoneJuniper (HPE)StanfordCaltech
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01Logic analyzer · 2023 → now
Experience
202420252026
Mar 2026 – Present · New York, NY
Point72
Quantitative Research Intern
#Quant research#Applied AI
02Interactive · runs in your browser
The Lab
Small live versions of things I have worked on. Every demo runs on synthetic data in your browser.
Stanford · FPGA PRBS over a UWB link
A 12-bit LFSR drives a band-limited channel. Add noise and jitter and watch the eye close.
03Build log
Projects
PyTorch
Transformer FX signal generator
Custom Transformer encoder on OHLCV plus engineered features (RSI, Bollinger Bands, MA slope) forecasting next-step returns, mapped to long/short positions and evaluated out-of-sample on Sharpe, P&L and max drawdown.
AVR assembly
Pinball controller
Bare-metal AVR assembly on an ATmega64: SPI driver for a 16-bit serial EEPROM, multiplexed 7-segment score display, debounced sensor matrix and timer-interrupt multi-tone audio.
Stanford RF
Wireless MRI data link
PRBS transmitter on an FPGA over an ultra-wideband link, with a demodulator/decoder receiver chain.
Juniper / HPE
Probabilistic demand forecasting
Spare-parts demand across 50+ countries: classical baselines to a Temporal Fusion Transformer with calibrated intervals.
Faraon Lab
Fabry–Pérot cavity verification
Beam profiling and cavity characterization; measured Q within 5% of theory.
04Off the scope
About
I study Electrical Engineering (Intelligent Systems) at Caltech, class of 2027.
In industry I have built LLM and forecasting pipelines and done quantitative research. In research labs I have worked on FPGA, RF and optics hardware. I like problems where the answer is a measured number: an R², a signal fidelity, a cavity’s Q.
Before all that I built model airplanes and won Science Olympiad Nationals in Flight. I still think about lift and drag more than I should.
Languages
- Python
- C++
- SQL
- MATLAB
- VHDL
- Verilog
ML / Data
- PyTorch
- LLM pipelines
- Time-series forecasting
- XGBoost
- dbt
- Snowflake
Hardware
- FPGA (Zynq, Intel)
- Vivado
- Cadence Virtuoso
- Altium
- RF / UWB
- PCB design
Oct 2024 – Present
Caltech Student Investment Fund · Equity Researcher & Portfolio Strategist
Pitch equities weekly to the investment committee and help rebalance a $1.4M portfolio.
- Science Olympiad Nationals · 1st place, Flight (2023)
- National Merit Scholar
- ACT 36
- QuestBridge Full-Ride Scholar
- NCWIT Aspirations · National Honorable Mention
- First-author oral presentation · MRS 2022