Founding engineer for AI Phishing Coach (AIPC) — built 0 to 1 for an LLM-powered phishing simulation product that trains enterprise employees against phishing, BEC, and credential theft.

Owned and built the entire engagement tracking system from scratch in Go — a public-facing service tracking email opens, link clicks, and credential submissions. This became the Go service boilerplate adopted org-wide.

Optimized report generation by 168x (56 min → 20 sec for 40k records) by redesigning sequential I/O into concurrent batch processing. Built the Simulation Grouping feature that revamped the product’s settings module and was critical for closing enterprise deals.

Designed an image archival pipeline spanning Airflow DAGs, a concurrent Go cron job, and S3 + CloudFront CDN to fix broken template images across all tenants daily.

Tech: Django, Python, Go, Kafka, Airflow, PostgreSQL, gRPC, AWS, Prometheus, Grafana

Developed a Ruby-based annotation system to enhance Google reCAPTCHA accuracy, reducing false positive rates from 12% to 1.8% and improving DDoS attack mitigation.

Refactored Go microservices and optimized infrastructure for cost-saving initiatives, saving $385 monthly. Built features to improve bid receive rates for 20% of drivers processing 1.5 million records daily.

Developed a feedback processing service in Go — the most requested feature by drivers — to remove unrelated feedbacks and improve fairness. Improved driver payout deduction reliability from 93% to 100%.

Tech: Go, Ruby on Rails, TypeScript, Redis, GCP, Kafka, React

Built an end-to-end portal to automate data operations for the loyalty program, eliminating manual monthly updates and error handling for developers. Created the interface in React with Redux-Saga and designed APIs in Clojure.

Tech: Clojure, React, Redux, TypeScript