Senior Software Engineer

I develop full-stack applications and backend services, translating business requirements into secure, maintainable features across APIs, data integrations, web interfaces, and production support. I design Python/FastAPI and Node.js/TypeScript services with documented REST APIs, validation, clear service boundaries, and consistent error handling. I also build React and TypeScript interfaces for operational workflows.

I model data in PostgreSQL, use Redis caching where appropriate, and integrate internal and third-party systems through versioned APIs, asynchronous jobs, and event-driven patterns. I develop LLM features with tool calling and RAG, apply OAuth2/JWT, RBAC, secrets management, and audit-friendly logging, and support AWS and Azure deployments with Docker and CI/CD. I investigate production issues using logs and metrics, review technical designs and pull requests, and coordinate delivery with product and engineering stakeholders.

I worked on iX Hello, an AI-powered healthcare assistant platform for real-time patient engagement, clinical decision support, and intelligent care workflows. I migrated monolithic APIs to event-driven microservices using Kafka and RabbitMQ, built high-throughput ingestion pipelines with FastAPI, and created AI orchestration layers for NLP services. I developed LangChain and LangGraph applications for multi-agent and LLM-driven workflows, including RAG pipelines integrated with vector databases and enterprise knowledge sources.

I implemented HIPAA-compliant handling of sensitive data and secure EHR integrations using HL7 and FHIR standards. I designed gRPC, GraphQL, and REST APIs, optimized performance with Redis and horizontal scaling, and engineered reliability using AKS autoscaling, connection pooling, circuit breakers, and idempotent message processing. I built Azure OpenAI clinical assistants for chart summarization and ICD/CPT suggestions, while serving as a technical lead for coding standards, design reviews, mentoring, and safe AI/ML integration.

I designed and delivered a multi-tenant IoT SaaS platform for connecting, monitoring, and analyzing real-time data from sensors, vehicles, and industrial machines. I built React and TypeScript dashboard functionality for real-time visualization using WebSockets and implemented REST APIs with Node.js/Express and Python/FastAPI. I processed sensor streams, exposed latest device state and historical time-series data, and created transformation and normalization layers.

I developed tenant-isolated architecture with secure data partitioning, RBAC, organization management, and user permission APIs. I implemented JWT authentication, rate limiting, validation, and secure device communications. I contributed to scalable microservices, event-driven processing, messaging and pub/sub patterns, caching, distributed processing, and performance tuning. I also led cloud and DevOps integration using AWS, Azure IoT Hub, Azure App Services, Docker, automated testing, and CI/CD pipelines.

I worked on modernization of a global banking and payments platform, coordinating secure banking services on AWS using FastAPI and Node.js microservices. I migrated payment and account services to domain-aligned microservices and exposed REST and GraphQL APIs for real-time balance checks, transfers, and settlements. I built transaction pipelines with Kafka, Amazon Kinesis, and PostgreSQL, including idempotent processing and reconciliation logic for consistency and traceability.

I developed AI-driven fraud detection services with Python, Scikit-learn, and TensorFlow, serving low-latency scores through Node.js APIs. I also built React onboarding flows, identity verification and KYC integrations, and operational dashboards for transaction streams, fraud alerts, and customer journeys. I supported CI/CD and reliability practices with Jenkins, Docker, AWS infrastructure as code, health checks, logging, and alerting in a PCI DSS environment.

I built Python Flask backend services and REST APIs backed by PostgreSQL for internal training projects, applying clean layering, input validation, and basic authentication patterns. I developed React single-page applications that consumed backend APIs, implemented reusable components and state management, and delivered responsive CRUD workflows for an internal HR portal.

I created a small recommendation system using Python, Scikit-learn, feature engineering, and JSON REST endpoints to demonstrate machine learning integration. I also developed DevOps fundamentals through Docker containerization, Jenkins-based CI/CD pipelines, Git workflows, code reviews, and Agile delivery practices.