Summary
Computer & Data Scientist with a broad foundation across AI, data engineering, and embedded systems. Builds reliable model/data pipelines, on-device intelligence, and Web3 tooling. Comfortable with regulated documentation and structured data handling. Executes fast with clear documentation and production discipline.
Core Skills
Programming
Python, C/C++, Rust, PineScript
AI & ML
Model pipelines, NLP, automation, observability
Data
Wrangling, cleaning, validation, EDA, visualization
Embedded & IoT
Arduino, Raspberry Pi, ESP32, sensor fusion, embedded C/C++
Blockchain
DEX integrations, risk engines, anti-rug heuristics, Web3 scripting
Microsoft Office
Word, Excel, PowerPoint, Outlook (advanced docs & reporting)
Research & Data Handling
Data entry, database monitoring, compliance docs, audit trails
Selected Projects
Luna — On-device voice assistant
- Streaming ASR + intent handling with microcontroller-friendly footprint and offline fallbacks.
- Optimized sensor I/O and event loop for real-time UX; documented deploy/OTA steps.
ACEBot — Low-latency trading assistant
- MEV-aware order routing; anomaly and rug-pull checks.
- Automated reporting and alerts; testable strategy modules with backfill & sim harness.
FieldEye — Edge vision for build QA
- Captured & validated field measurements; exported annotated reports for supervisors.
- Offline-first with later sync; photos + metadata trail.
Chains Toolkit — Web3 scripting & scanners
- Pattern scanners with readable reports and risk scores.
- CLI utilities for quick ops; documented playbooks.
Education
B.Sc. — Computer Science