I’m a computer science student at Brooklyn College building backend services, data pipelines, and ML applications. I care about the part after the demo: validation, failure modes, and whether someone else can reproduce the result.
A modular backtesting platform with cached data pipelines and an interactive dashboard. I test momentum and mean-reversion strategies against transaction costs, out-of-sample periods, and walk-forward validation.
Measured in testing, not live production.
Engineered 176 features from 307K loan records, tuned XGBoost with Optuna and MLflow, and deployed a FastAPI service that returns a risk score with per-decision SHAP explanations.
Measured in testing, not live production.
Built solo in 8 weeks for 284K transactions. Kafka streams events, Redis caches recent history, and an XGBoost model flags suspicious transactions for human review through a FastAPI service.
Measured in testing, not live production.
APIs, services, and data flows that stay understandable when the happy path ends.
Turning messy real-world data into systems people can query, evaluate, and trust.
Exploring market data and trading ideas with costs, uncertainty, and reproducibility in view.
Project Alpaca (NYC nonprofit)
Visit the site ↗InZone Inc.
AutoLake LLC
CUNY Brooklyn College
CodePath & CUNY Tech Prep
CUNY Brooklyn College CS Club
I build systems for messy, real-world data.
B.S. Computer Science, minor in Data Science
CUNY Brooklyn College, expected Dec 2027, GPA 3.8
Life outside code
Status
Looking for an entry-level SWE role
I got into software engineering first. Fintech came later, while I was figuring out what kind of engineer I wanted to be. I started reading about how financial systems work, then built projects to understand the ideas instead of leaving them as notes in a notebook.
Most of my week is split between research, teaching, and building. At Brooklyn College I build Python ETL and ML workflows that pull structured data out of long curriculum documents, like the 450+ page ACM/IEEE CS2023 report. As a teaching assistant, I help students in cybersecurity, web development, AI, and data science understand both the code and the reason behind it.
I like work that rewards careful thinking: defining the data model, testing the uncomfortable cases, and being honest when a result is weaker than the first version suggested. That is usually more interesting to me than making a demo look impressive.
Outside class I’m involved with Project Alpaca, CUNY Tech Prep, CodePath, and the CS Club.
Walk-forward validation, lookahead bias, and why a Sharpe ratio in a notebook means almost nothing without out-of-sample testing.
Jun 2026, 5 min read
From raw loan data to a deployed REST API: the decisions that actually matter when you are building something a bank would recognize.
May 2026, 6 min read
Blocking a real customer costs almost as much as missing actual fraud. Here is how that constraint changes the way you build the system.
Apr 2026, 4 min read
I’m looking for an entry-level software engineering role, especially on a team working with backend systems, data engineering, ML infrastructure, or fintech. Email is the fastest way to reach me.
faizan.khan.intern02@gmail.com