Senior Python Full Stack Engineer at Amazon

Designed and delivered an AI-based Internal Intelligence Platform using Python (FastAPI) and React to streamline e-commerce workflows and internal automation, improving operational throughput by 27%. Engineered scalable FastAPI microservices on AWS EKS integrating PostgreSQL, DynamoDB, and Redis caching, achieving 99.9% uptime and improving request handling efficiency by 22%. Developed reusable FastAPI service patterns (authentication/authorization, rate limiting, validation, pagination, background jobs) improving consistency and scalability across engineering teams by 18%. Built LangChain and LangGraph AI workflow services for internal knowledge search, issue triage, and operations automation using RAG pipelines, vector retrieval, human-in-the-loop review, and automated evaluation, improving resolution efficiency by 25%. Optimized critical production endpoints via query tuning, caching strategies, async processing, and payload redesign, reducing p95 latency by 31 ms. Implemented eve

Senior Python Full Stack Engineer at AlphaSense

Architected and built Python backend services and full-stack features for financial research, document intelligence, search, and analyst workflow platforms, improving query latency by 19%. Engineered FastAPI and Django APIs for ingestion, search, tagging, permissions, saved searches, and notifications, improving production API response times by 23%. Delivered React and TypeScript dashboards and admin screens for ingestion health, user workflows, and relevance review, reducing analyst turnaround time by 16%. Designed scalable ingestion and enrichment pipelines using Python, SQL, Airflow, Elasticsearch, and OpenSearch to process millions of documents per month, cutting availability lag by 27%. Enhanced semantic search and retrieval using embeddings-based ranking and re-ranking to increase first-result relevance by 14%. Improved deployment reliability through containerized services, CI/CD, structured logging, and query-quality dashboards, reducing search regressions by 18%. Mentored eng

Python Backend Engineer / Full Stack Developer at Rackspace Technology

Designed and built a FinTech API platform using cloud-native Python services and REST APIs, improving throughput by 33%. Built healthcare and SaaS backend systems using Django and Flask with SQLAlchemy, PostgreSQL, Redis, Celery, and message queues, reducing latency by 18%. Created reusable backend templates for authentication, RBAC, API documentation, background workers, environment configuration, and CI/CD pipelines, reducing development effort by 41%. Optimized real-time event processing and anomaly detection workflows using Kafka and Spark, reducing false positive alerts by 27%. Modernized deployments across AWS and Azure using Docker, Kubernetes, and Terraform, reducing post-release production issues by 42%. Enhanced monitoring/logging and reliability runbooks with improved observability and incident response visibility, improving SLA visibility by 9%.