• Architected a generative voice AI platform, revolutionizing medical billing processes through automation and scalability.

• Designed secure, multi-model AI backends leveraging self-hosted LLMs, Hugging Face, and AWS Bedrock.

• Built scalable infrastructure with Docker and Kubernetes, ensuring high availability and robust security.

• Developed backend systems using Python (Django, FastAPI), PostgreSQL, and Redis, integrating advanced AI tools like LangChain.

• Collaborated with multiple startups to scale products, optimize performance, and enhance security.

• Served as Software Architect, designing microservices architectures and overseeing implementation.

• Delivered backend solutions and frontend systems featuring real-time notifications, caching, and synchronization.

• Executed hands-on coding using Python, TypeScript, React Native, PostgreSQL, and MongoDB for seamless cross-platform functionality.

• Built data pipelines aggregating data from diverse sources and data warehouses (e.g., Snowflake, Redshift, Panoply) into a unified visualization platform.

• Designed and implemented a new onboarding funnel, enabling seamless integrations and significantly improving conversion rates.

• Enhanced the platform’s ETL integrations with tools like Talend Stitch.

• Developed backend services using Python, React, PostgreSQL, and AWS cloud technologies.

• Led engineering efforts for a B2B talent acquisition platform utilized by Fortune 500 companies and U.S. state governments.

• Architected scalable solutions, including secure mobile platforms for talent acquisition and management.

• Implemented backend systems with LAMP stack, Node.js, and React, hosted on AWS.

• Developed a Semantic Matching Service for intelligent candidate-job recommendations, enhancing hiring workflows.

• Enhanced security protocols and data import pipelines, ensuring high performance and accuracy.

• Delivered ADA compliance upgrades and mobile-friendly platforms to expand accessibility.