I'm a software engineer specializing in AI and distributed backend systems with 4+ years of experience building scalable, production-ready solutions. I work with Python, FastAPI, PostgreSQL, and AWS to create systems that are fast, reliable, and maintainable.
Currently, I'm engineering backend services and data pipelines at University at Buffalo, building LLM-powered automation tools using OpenAI API and LangChain. I architect scalable microservices with asynchronous task processing for high-concurrency workloads, and I handle the full development cycle from design to deployment with Docker, CI/CD, and monitoring.
Previously at Roche (Accenture), I owned and developed critical data pipeline modules for clinical data management platforms, achieving 85% test coverage and 75% query performance improvements. I'm passionate about bridging cutting-edge AI with solid engineering practices, ensuring solutions ship reliably and perform at scale.
I'm always open to conversations about challenging AI and infrastructure problems. If you're building something interesting, let's talk!

University at Buffalo, Buffalo, NY
Engineered backend services and data pipelines using Python, FastAPI, and PostgreSQL with asynchronous processing, automating ETL workflows that reduced manual data processing time and improved reporting efficiency. Built and integrated LLM-powered automation tools using OpenAI API and LangChain for data extraction and classification, handling workflow tasks. Developed Tableau dashboards for leadership insights. Implemented CI/CD automation (Docker, GitHub Actions, AWS) and architected scalable microservices with asynchronous task processing for high-concurrency workloads in Agile/Scrum sprints.
Roche (Accenture), Chennai, India
Owned and developed the patient and drug data pipeline module for a clinical data management platform, architecting secure REST APIs using FastAPI and PostgreSQL with role-based access control. Implemented comprehensive testing framework with pytest including (unit, integration & API) achieving 85% code coverage and containerized applications with Docker for CI/CD quality gates that reduced production bugs. Developed asynchronous task processing with Celery for background workflow execution, enabling non-blocking operations and improving system responsiveness for high-volume data processing tasks. Designed normalized data models and optimized PostgreSQL queries with advanced indexing, improving response times by 75%, and implemented Prometheus and Grafana for performance monitoring.
Accenture, Chennai, India
Developed RESTful API endpoints and backend services using Python and PostgreSQL, implementing CRUD operations, data validation logic, and error handling for web applications across client projects. Debugged and resolved production issues across web applications, improved error handling and logging mechanisms, and contributed to system stability improvements that reduced incident response time by 40%. Integrated third-party APIs and services to automate workflows across client applications, reducing manual processes while contributing to monitoring and logging infrastructure improvements.
I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology and development.
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