NYU graduate student building products that drive business impact, operational efficiency, and user value.
Selected work
$10B TAM analysis, competitive benchmarking, and KPI definition for monetization and positioning.
Feature definitions, engagement hypotheses, and roadmap prioritization tied to experimentation planning.
Executive strategy deck on revenue potential, experience trade-offs, and cross-functional decision support.
NLP classification, logistic regression, threshold optimization, and workflow orchestration on 1M+ dispute records.
64% automated triage at t1=0.055 with $325M annual net value and AUC 0.80 validation.
End-to-end ML pipeline with synthetic data modeling, feature engineering, and economic simulation.
RAG stack with ChromaDB, SentenceTransformers, optimization algorithms, and Streamlit prototype.
Battery-aware charging recommendations improved charging efficiency by 15 to 20%.
Natural-language preference parsing and route-aware optimization cut planning friction by about 40%.
Random Forest and Logistic Regression models to detect operational risk patterns in structured datasets.
ROC-AUC, precision-recall, and bias testing for reliable and fair risk prediction.
Experience
Fintech Payments Operations
$119M+ daily Card Acquiring and PayFac flows, improving revenue realization by 20%.
DCC expansion across 10K+ cross-border merchants.
Payments infrastructure with 15+ aggregator partners including Razorpay, Paytm, Amazon Pay, Visa, and American Express.
Product & Analytics Intern
200GB+ Twitter data processed with Python and Twitter API for sentiment and consumer trend analysis.
NLP pipelines and hybrid CNN-LSTM model using NLTK, Scikit-learn, and Keras achieved 94% accuracy.
Machine Learning Research Intern
Medical imaging classification pipelines improved through feature engineering and model tuning.
HoG, LBP, and OpenCV workflows for feature extraction, evaluation, and performance optimization.
Leadership
Coordinated 600+ attendee university events across logistics, vendors, scheduling, and cross-team execution.
Managed department budgets and operational documentation using Excel and Google Sheets for procurement and stakeholder coordination.
How I think
User first. Understand behavior and pain points before designing features.
Systems thinking. Products operate within data, operational, and ecosystem constraints.
Technology as a lever. AI enables scalable decision systems and new product capability.
Business impact. Strong products drive revenue growth, monetization, and operational efficiency.
Beyond work
DJing. Mixing music and rhythm as a creative outlet.
Sports. Badminton and soccer.
Dance and travel. Movement, culture, and new perspectives.
Books