Senior Software Engineer — Machine Learning Systems

Built core systems for AI risk decision platform used by fintech companies to detect fraud and automate compliance decisions. Designed and deployed real-time fraud detection models using XGBoost, improving detection accuracy and reducing false positives by ~25% across high-risk transactions. Architected low-latency ML inference services (Python, FastAPI) processing 3M+ financial transaction events per day with <60ms scoring latency. Designed event-driven data pipelines using Kafka and Redis Streams processing 200K+ behavioral events per minute. Built AI risk decision engine evaluating onboarding signals, behavioral activity, and transaction patterns for fraud detection. Developed RAG-based fraud investigation assistant using LangChain and OpenAI APIs, reducing analyst investigation time by ~40%. Built NLP pipelines using PyTorch and HuggingFace extracting risk signals from financial documents and compliance reports. Deployed scalable ML services using Docker + Kubernetes (AWS EKS) supporting high-availability inference workloads. Developed React + TypeScript analytics dashboards enabling fraud analysts to monitor alerts, model performance, and risk signals. Collaborated with fraud analysts and data teams to continuously improve model features and risk detection accuracy. Mentored 3 junior engineers during project development and platform delivery.

Built backend services supporting Docker Hub container registry infrastructure used by millions of developers globally. Built backend services using Python, FastAPI, PostgreSQL, and Redis supporting container registry automation workflows. Designed distributed services enabling high-availability container registry operations across global infrastructure. Implemented CI/CD pipelines using GitHub Actions and Jenkins, reducing deployment time by ~35% and improving release reliability. Built Terraform infrastructure templates enabling automated provisioning across development, staging, and production environments. Developed React + TypeScript internal dashboards visualizing infrastructure metrics and container workloads. Improved system observability using Prometheus and Grafana, reducing incident detection time and improving operational monitoring.

Contributed to enterprise release automation platform used by engineering teams to manage complex deployment pipelines. Built backend automation services using Python, Flask, and Django supporting deployment orchestration and release pipelines. Designed PostgreSQL and Elasticsearch data models enabling deployment analytics and audit logging. Integrated Docker and Jenkins pipelines to support automated software deployment workflows. Developed Vue.js dashboards enabling real-time monitoring of deployment pipelines and release status. Implemented automated testing pipelines improving reliability of enterprise release workflows.

Developed fintech platforms including UnionBank Online banking services. Built backend financial services using Java Spring Boot supporting authentication, payments, and banking workflows. Designed REST APIs for banking transactions and financial integrations. Developed responsive React interfaces for banking dashboards and operational tools. Designed relational database schemas supporting secure financial transaction processing.

Developed e-commerce platforms using Django and JavaScript frameworks supporting online retail operations. Implemented payment gateway integrations, order management workflows, and customer account systems. Optimized database queries and caching strategies improving performance during high traffic events.