Azhar M
ML Platform Engineer @ CARS24 | Ex-ML Engineer @ Quest Global | Passionate about building scalable ML platforms, serving high-performance models, and optimizing end-to-end ML workflows.
- Role
- Ml Platform Engineer at Cars24
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Azhar M
I am an experienced Machine Learning Platform Engineer specializing in the design, deployment, and management of enterprise-grade ML systems. With a proven track record spanning multiple years, I bridge the gap between cutting-edge machine learning research and robust production environments.🧑‍ My technical expertise encompasses: Developing and maintaining ML infrastructure on cloud platforms to serve diverse models, including GPU-accelerated deep learning systems. Designing CI/CD pipelines for efficient, scalable deployment of ML models as services on Kubernetes using KServe. Developing high-performance APIs using Python web frameworks (FastAPI, Flask, Litestar) that integrate inference services with databases for logging inference data. Building secure API gateways featuring built-in authorization and rate limiting for securing ML services. Constructing robust data pipelines for efficient inference data processing and logging, and deploying reliable database systems—including vector databases—that support ML lifecycle operations and ensure data integrity. Implementing comprehensive monitoring solutions for system metrics, logs, and traces to optimize performance, enhance reliability, and provide actionable insights into ML workflows. Technical Proficiencies in tools: Programming Languages: Python Containerisation and Orchestration: Docker, Kubernetes Cloud Platforms: Google Cloud Platform (GCP), Google Kubernetes Engine (GKE) ML Serving Frameworks: KServe, Triton, RayServe Databases: PostgreSQL, EdgeDB 🧊 Vector Databases: Milvus 🧮 Streaming Frameworks: Apache Kafka, Google Pub/Sub Job Orchestration Tools: Apache Airflow 🪂 Code Versioning: Bitbucket, GitHub My commitment to operational excellence ensures ML infrastructure remains scalable, secure, and aligned with business objectives. Deeply curious about emerging trends in the ML/AI landscape, I actively explore how AI-powered automation can revolutionise MLOps practices to create more efficient, self-optimizing systems that continuously improve with minimal human intervention.
Experience
Ml Platform Engineer
Aug 2024 — Present · Gurugram, IN
Education
Haldia Institute of Technology
Btech
2013 — 2017
Birla Institute of Technology and Science, Pilani
Master in engineering
2018 — 2020
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