Rishi Kambil

As a Senior Associate, Rishi led the architecture and implementation of scalable data and ML infrastructure, optimizing data pipelines and enhancing system resilience for high-impact applications.

• Engineered scalable DATA/ML infrastructure using Python, SQL, and Redis Streams, ensuring robust data pipelines and optimized data processing for high-impact applications.
• Led the development of the EDGAR parsing project, significantly reducing organizational costs by consolidating data sources from two vendors into one.
• Architected and implemented chaos engineering practices in Python and Kubernetes, improving system resilience and reliability through experimentation and proactive failure testing.
• Integrated MLflow to enhance experiment tracking, model versioning, and deployment processes, ensuring transparency and reproducibility in ML workflows.
• Provided technical leadership and mentorship, fostering a culture of continuous learning and excellence in ML infrastructure and data engineering best practices.

As a Senior Product Engineer, Rishi contributed to the end-to-end development of a cognitive AI platform, optimizing containerized ML environments and automating CI/CD pipelines.

• Contributed to the development of Fosfor Refract, a cognitive AI platform, enabling end-to-end ML capabilities including model training, deployment, and predictions using Docker, Kubernetes, and cloud technologies.
• Implemented OAuth2Proxy for authentication and integrated Kong API Gateway for Models-As-A-Service, ensuring robust and scalable authentication and API integration.
• Optimized Docker images, reducing sizes by ~35% and addressing CVEs, enhancing security and efficiency in containerized ML environments.
• Automated CI/CD pipelines with GitLab CI, SonarQube, and Jenkins, driving continuous integration and deployment across Kubernetes clusters to improve development and operational workflows.

As a Product Engineer, Rishi developed scalable backend services for a self-serve analytics tool and designed a real-time notification framework, enhancing user engagement.

• Contributed to Mosaic Lens, a self-serve analytics tool, by developing scalable back-end services with Flask and RESTful APIs, utilizing Angular, Pandas, and PySpark.
• Designed and implemented a real-time notification framework using Flask-SocketIO, enhancing user engagement through in-app and email notifications.
• Mentored junior engineers and led technical training sessions on Python, Docker, and Kubernetes, demonstrating leadership in modern software practices.