• Designed a modular, event-driven, scalable backend architecture compliant with HIPAA and GDPR for Wellframe care mobile app using Python, FastAPI, Flask, Docker, Kubernetes and AWS to handle sensitive patient data (PHI) while supporting real-time communication, data analytics, and personalized care plans.

• Built compliance-ready RESTful APIs using FHIR standards with libraries like fhirclient and FastAPI to support healthcare interoperability, and validated against FHIR schemas using pydantic models integrated with fhir-py.

• Implemented encryption using the cryptography Python library, role-based access control (RBAC) and authentication (OAuth 2.0/JWT) using PyJWT and audit logging and monitoring using ELK stack (Elasticsearch, Logstash, Kibana) for real-time logging to ensure robust encryption (AES-256).

• Wrote unit tests with pytest to check encryption, built CI/CD pipelines using Github Actions and Jenkins with scripts to scan code for compliance and performed regular audits using OpenSCAP.

• Deployed an auto-scaling architecture on Kubernetes and monitored with Prometheus/Grafana and optimized database queries to maintain <100ms latency.

• Built data validation pipelines in Flask using Kafka for streaming data ingestion and Cerberus for schema validation to handle unstructured/incomplete patient data. Managed analytics integration using Elasticsearch for search/analytics, integrated scikit-learn and TensorFlow for insights and Apache Spark for big data processing.

• Worked closely with product managers, frontend engineers and mobile engineers to refine requirements, define clear and efficient API contracts and mentored junior and mid-level engineers providing SQL query optimization and algorithmic feedback, code reviews, and guiding on problem-solving, architectural patterns through one-on-one meetings and direct chatting.

• Designed a backend system for Healthmine’s Quality Relationship Management (QRM) platform, a cloud-based SaaS solution designed to manage member engagement for health plans, integrating data from disparate sources, enabling omnichannel outreach and providing real-time analytics.

• Architected a microservices-based SaaS platform for QRM using Docker and Kubernetes to support multiple health plans with isolated data and hosted on Amazon Web Services for scalability and zero-downtime updates.

• Built a combination of SQL and NoSQL databases using PostgreSQL, MongoDB and DynamoDB to handle both structured and unstructured data and collected data from EHRs, pharmacy, CAHPS/HOS survey sources using FHIR-based APIs like HAPI FHIR and architected a Kafka-based event-driven architecture for HL7 messages via Tenasol.

• Developed FHIR-compliant RESTful and GraphQL APIs for a white-labeled mobile app and third-party integration to enable seamless data exchange with EHRs and other Health IT systems.

• Implemented attribute-based access control and end-to-end encryption using OAuth2, SAML, OpenID Connect, AES-256 and TLS 1.3 to protect sensitive patient data, ensuring compliance with HIPAA, GDPR and HL7 standards.

• Built dashboards using Tableau and enabled real-time analytics for Star Ratings, gap closure and ROI tracking using Apache Spark.

• Implemented real-time monitoring using Datadog to track system health, performance metrics and detect anomalies and ensured SaaS agility requirements with CI/CD pipelines using Jenkins.

• Developed server-side logic, APIs and microservices for an omnichannel platform at Sam’s Club team, implementing real-time updates in inventory management, payment and order processing using Go, Python, gRPC, Kafka, Azure API Management, Docker and Kubernetes.

• Built a microservice for an inventory service component using Go, Kafka, Redis, PostgreSQL, WebSockets and Azure DevOps which improved real-time stock updates and availability check features and enhanced customer satisfaction.

• Implemented a payment service and a notification service using Python, FastAPI, Stripe SDK, Celery and Twilio SDK which streamlined transaction processing, enhanced fraud checks and improved post-order communication through emails/SMS to increase security and customer engagement.

• Developed DailyPay's cre product, a real-time Earned Wage Access (EWA) platform built on a microservices-based architecture hosted on GCP which facilitated accurate earnings calculations and instant fund disbursements, improved user satisfaction and financial accessibility.

• Designed and built microservices for Earnings, Ledger, Payments and Reconciliation using Python, FastAPI, Pandas, Kafka, gRPC, Go, PostgreSQL, Redis, Stripe/Ach API, Celery and API Gateway following Domain-Driven Design (DDD) principles which enhanced system modularity and improved transaction accuracy.

• Implemented optimistic locking with Redis for fast checks and PostgreSQL for durable transactions, combined with the Saga pattern for orchestration in a distributed system to ensure the successful concurrent transfer requests and prevent inconsistent balances across services.

• Refactored a web playback UI to migrate the legacy vanilla JavaScript-based components for playback controls to React class components and integrated with Node.js backend services for data fetching.

• Built Express.js APIs for serving playback data, integrated with internal services via REST APIs for buffering and deployed them on AWS.

• Developed interactive 3D visualizations using WebGL and Three.js, enabling immersive, browser-based experiences for product configurators and data visualization tools.

• Developed a new pet info management CMS tool which is fully customized and user-friendly using React, Jotai, Typescript, Node, SQL, and MUI.

• Instituted an all-encompassing testing strategy using Jest and Cypress, leading to 89% coverage of the client codebase in the testing phase to ensure high code quality and reliability.