I build AI systems and data tools that move business metrics.
NYU Computer Engineering, May 2026. Built an e-commerce brand from scratch in my final year of undergrad, scaled it to 20,000 customers and $150K in revenue, then moved to US for my Masters to go deeper on the engineering side.
RAG-powered PDF Q&A — upload a document, ask questions, get answers with source citations.
Built to understand RAG end to end — embeddings, vector search, retrieval, and generation.
AI agent that researches any company — searches the web, classifies results, and synthesizes a structured brief.
Built to understand agentic AI end to end — planning, tool use, cost-aware model routing.
Shortens links and tracks every click — where it came from, when, who.
Built because I couldn't trust third-party analytics on paid campaigns.
Track every job application, outreach contact, and follow-up in one place — with a daily home screen that tells you what needs attention.
Built because spreadsheets fall apart after 50 applications and nothing tracks both the application and the conversation around it.
Cohort retention, revenue trends, and churn signals for e-commerce.
Built from actually running one — the metrics I wish I had at the time.
ML-powered conversion analytics for Columbia Sportswear Turkey's e-commerce site.
Built to translate DataRobot model outputs into actionable business recommendations.
Full product spec for a job search tracker built for tech job seekers running aggressive, high-volume searches.
Written because building without a spec first is how products get rebuilt twice.
I started my first company in my final year of undergrad. A custom phone case brand that grew from an Instagram page to 20,000 customers and $150K in revenue. Running it taught me how businesses actually work: growth, retention, unit economics, and when to stop building something.
I came to NYU for one reason. To go deeper on the engineering side and get exposure I couldn't get staying comfortable. Now I build AI systems and data tools.
Most engineers at my level have only built for users. I have been one.
RAG pipelines, LLM agents, evaluation frameworks, cost optimization
Cohort analysis, A/B testing, business dashboards, SQL pipelines
REST APIs, auth systems, real-time features, cloud deployment
Open to AI Engineer, SDE, Data Analyst, and FDE roles
Available May 2026