Senior Software Engineer at US AI

Developed a high-performance telehealth platform for UnitedHealth Group using Node.js (Express.js), Python (Django), and PostgreSQL with HIPAA-compliant encryption and FHIR interoperability. Designed a real-time analytics pipeline using NestJS microservices, Kafka, and AWS Lambda to ingest wearable telemetry with low-latency processing and durable event streams, contributing to a 30% reduction in hospital readmission rates. Built an AI-assisted triage and scheduling assistant as a Node.js/NestJS service integrating the OpenAI API and LangChain, with optional RAG over clinic FAQs/policies to improve response consistency; reduced patient wait time by 40%. Architected a proprietary FinTech assessment platform for Unitifi using NestJS + TypeScript, delivering secure APIs and workflows that enabled financial professionals to assess client financial behaviors with high accuracy. Integrated with CRM systems including Salesforce and Wealthbox through NestJS REST APIs, OAuth 2.0 / OIDC, and web

Senior Full Stack Engineer at SurveyMonkey

Led development of a modular backend service suite in NestJS (controllers/providers/modules) with TypeORM/Prisma, implementing validation, auth, rate limiting, and API versioning for enterprise stability. Launched a survey management platform using React/Next.js/TypeScript, increasing user engagement by 25%. Improved database query performance by migrating to PostgreSQL on AWS RDS to support 2M daily transactions. Deployed AWS infrastructure (ECS, API Gateway, RDS, Lambda) and orchestrated containers with Docker and Kubernetes. Automated infrastructure provisioning with Terraform and CloudFormation, reducing setup time and configuration errors. Configured observability for Node services with Prometheus/Grafana and ELK, adding structured logs and dashboards to speed incident triage. Established Git branching strategies and JIRA workflows for a team of 15, resulting in fewer merge conflicts and faster feature delivery.

Full Stack Developer at TextRanch

Launched an English proofreading platform using Node.js/Express.js/React, serving 50K+ daily users. Integrated early NLP/ML components (TensorFlow) and later OpenAI API workflows for content scoring and suggestions, achieving ~92% accuracy; introduced embeddings-based retrieval to improve consistency. Implemented Redis caching to reduce database load by 60% and migrated frontend from Angular to React, improving page load time by 28%. Architected serverless solutions using AWS (Lambda, EC2, ECS, EKS, RDS, CloudFront). Implemented custom Prometheus exporters to track key metrics, reducing MTTR by 60% through anomaly detection.