From preventing billion-dollar losses to revolutionizing criminal justice through technology. I solve complex problems with data, code, and business understanding.
def process_transactions(data_stream):
# Real-time pipeline processing $2-5B daily
validated = validate_payment(data_stream)
enriched = enrich_with_ml(validated)
if risk_score > THRESHOLD:
# Prevented $3B loss with this check
flag_for_review(enriched)
return execute_transaction(enriched)
MS in Data Science from NJIT. 5.5 years at Credit Suisse where I wore many hats - from catching billion-dollar bugs to leading teams across India and Switzerland.
My work spans industries: prevented $3 billion in losses at Credit Suisse, built criminal justice tech that diverted 1000+ people from incarceration, created AR systems tracking golf balls at 150+ mph, and most recently saved 72 person-hours daily through automation at PureHD.
I thrive on complex challenges that require deep technical knowledge and business understanding. Whether it's building real-time data pipelines, creating full-stack applications, or implementing ML models, I focus on measurable impact.
PureHD - Enterprise Solutions
Fairway Vision - AR Golf Technology
Jersey City Community Court
Credit Suisse (via Wipro) - India & Switzerland
AI-powered credit assessment platform with real-time predictions and historical analysis.
Multi-source news aggregation with ML-powered sentiment analysis and prediction.
Real-time customer behavior prediction using ML and natural language processing.
ML-based sentiment analysis on 515k+ European hotel reviews with customer segmentation.
ETL pipeline with advanced anomaly detection for data quality during migrations.
Currently open to opportunities in data engineering, full-stack development, and machine learning. Based in Jersey City, NJ. Open to remote and hybrid roles.