Aman Jain is a Machine Learning Engineer with 9 years of experience specializing in deep learning and computer vision, currently focused on production ML at Sirion. He has a strong track record building and scaling containerized inference pipelines—optimizing Stable Diffusion deployments with TensorRT and Triton for low-latency inference. Aman has engineered robust ML observability and data-quality systems using MLflow, Prometheus, and Grafana, and implemented structured logging and request tracing across microservices. His prior work includes accelerating GAN and segmentation models via TorchScript/FP16, ONNX/TensorRT optimizations, and deploying GPU-backed services on AWS SageMaker and TorchServe. He combines hands-on model optimization with practical MLOps—Airflow-driven data pipelines, Redis caching, FastAPI asynchronous flows, and end-to-end monitoring—making research models production-ready at scale. Based in New Delhi, he blends deep CV expertise with operational rigor to reduce latency and maintain reliability in real-world ML systems.
9 years of coding experience
4 years of employment as a software developer
Cambridge School, Indirapuram
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at The LNM Institute of Information Technology
Contributions:15 commits, 12 pushes, 1 branch in 1 year 1 month
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Aman Jain - Software Engineer 2 (Machine Learning) at Sirion