SABE ──✈──▶ KLYH ──✈──▶ KABE
Buenos Aires Lynchburg, VA Bethlehem, PA
Home CS degree M.S. Aerospace & Space Systems
I'm a computer science graduate (University of Lynchburg, minor in mathematics) and M.S. student in Aerospace & Space Systems Engineering at Lehigh. I'm an instrument-rated commercial pilot (ANAC Argentina) with my FAA certificates in progress, and I build software where numbers have to be right and mistakes are expensive. Finance and aviation are where I spend most of my time, but I'm into software in general: backends, data pipelines, systems, and whatever is next.
SABE (Aeroparque Internacional Jorge Newbery, Buenos Aires)
METAR SABE 272200Z 07006KT CAVOK 17/08 Q1021 NOSIG
KABE (Lehigh Valley International Airport, Allentown)
METAR KABE 272151Z 19005KT 10SM CLR 17/04 A3033 RMK AO2 SLP271 T01670044 $
Pulled from aviationweather.gov by a GitHub Action every few hours.
The bot below runs on a paper account and is benchmarked against SPY. These numbers come straight from its public /stats endpoint; they will read "N/A" until it has two trading days of data, and early results mean nothing statistically.
Raw data: /stats
AutoTradingBot: autonomous paper-trading bot in Go
- What it does: every 15 minutes it combines technical indicators, news and an LLM (Gemini) to decide BUY / SELL / HOLD, then places bracket orders on Alpaca.
- Risk controls: position sizing by conviction, max open positions, daily loss and drawdown circuit breakers, liquidity filters.
- Honest scoreboard: public, privacy-safe
/statsendpoint benchmarked against SPY. - Stack: Go · Python · Gemini API · Alpaca API · Docker · Render
Stock-Quant-Reports: equity report generator
- What it does: turns a ticker (or a batch) into a two-page PDF with weekly/monthly indicators, charts, a plain-English narrative and a rule-based signal.
- Built for: a university student-managed investment fund, where it replaced hours of manual weekly analysis.
- Stack: Go · React · MongoDB · Firebase
Lending protocol with Chainlink price feeds
A collateralized lending protocol: deposits, borrows, interest accrual, health factors and liquidations, priced with Chainlink oracles and covered by fuzz and invariant tests. Solidity · Foundry.
MEV sandwich-attack detector
Scans on-chain swap data to flag sandwich attacks and quantify what victims lost to slippage, with a small dashboard of the findings. Python · SQL · public node and indexer data.
Mini blockchain from scratch in Go
A small chain built to understand the fundamentals: peer-to-peer networking, block and transaction validation, a proof-of-stake validator set and account state. Go.
Finance & Data Research Assistant, Lehigh University · 2026 to present
Python pipelines that extract securities-lending data from historical SEC filings and turn unstructured disclosures into research-ready datasets.
Quant Analyst & CS intern, Student Managed Investment Fund · 2025 to 2026
Market and asset analysis with weekly updates, and an automated quantitative stock-analysis system in Go and Python used in the fund's decision making.
Coursework
Artificial Intelligence · Machine Learning · Data Structures · Databases · Operating Systems · Architecture & Assembly · Applied Regression · Business Statistics · Investment Fundamentals · Finance · Accounting
▸ Commercial Pilot, Instrument Rating ANAC Argentina
▸ Commercial Pilot (FAA) in progress of conversion
▸ Flight Dispatcher in progress
▸ Restricted Radiotelephone Operator FCC
▸ Bloomberg Market Concepts
ES native · EN bilingual · PT fluent · 中文 basic
Languages
Web, data and cloud
Tools
Also: Assembly, Flex & Bison.