Rishi Kambil
Senior Machine Learning & Data Infrastructure Engineer
Mumbai, IN.About
Highly accomplished Senior Machine Learning and Data Infrastructure Engineer with over 5 years of experience in designing, building, and optimizing scalable ML/Data platforms and robust backend services. Proven expertise in leveraging Python, Kubernetes, Docker, and CI/CD pipelines to drive innovation, enhance system resilience, and significantly reduce operational costs. Adept at technical leadership, cross-functional collaboration, and mentoring, with a strong focus on delivering high-impact solutions for complex data challenges.
Work
Mumbai, Maharashtra, India
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Summary
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.
Highlights
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.
Pune, Maharashtra, India
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Summary
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.
Highlights
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.
Pune, Maharashtra, India
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Summary
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.
Highlights
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.
Skills
Programming Languages
Python.
Data & ML Frameworks
Flask, Pandas, PySpark, MLflow, Angular.
Containerization & Orchestration
Docker, Kubernetes.
Databases
SQL, NoSQL, Redis Streams.
DevOps & CI/CD
GitLab CI, Jenkins, SonarQube, Chaos Engineering.
APIs & Web Technologies
RESTful APIs, Flask-SocketIO, OAuth2Proxy, Kong API Gateway.
Data Formats
XML, CSV, PDF.