About
🚀 Building Scalable AI/ML Systems Most recently, I was an SDE 3 at Inferless, where we were building serverless model inferencing. My work involved architecting and developing scalable components/platforms from scratch to support custom models efficiently. Previously, I was an SDE 2 at Dream11, where I contributed to building a unified Machine Learning platform. 🔹 Proficient in: Backend Systems, Kubernetes, Distributed Systems, ML/AIOps, 🔹 Programming Languages: Python, Golang, Rust, C 🔹 Cloud Expertise: AWS | GCP | Azure My passion lies in AI/ML systems, and I am committed to pushing the boundaries of what's possible in this exciting domain.
Work experience
Engineering at aion, Oct 2025 - Present · 1 yr 1 mo, Tech Lead for the Ai Platforms Charter. Solving interesting problems across inference optimisations, fine-tuning pipelines, productionising enterprise agents and their evals
SDE 3 at Inferless, Nov 2023 - Oct 2025 · 2 yrs, Bengaluru, Founding Engineer. Built a reliable & fast serverless GPU Inference Platform for LLMs Reduced Cold Starts from minutes to seconds at scale
SDE 2 at Dream11, Jul 2023 - Nov 2023 · 5 mos, On-site, Built unified Machine Learning Platform @Dream11 1. Held ownership of core components of the platform. 2. Led multiple POCs with Ray, GPUs and GenAI. 3. Designed and Implemented a multi-cloud architecture on AWS & GCP 4. Worked closely with data scientists in scaling model inference to a Million concurrency
SDE-1 at Dream11, Jun 2021 - Jun 2023 · 2 yrs 1 mo, Mumbai, Maharashtra, India, Building a unified ML Platform where I have primarily worked on designing, developing and scaling ML Compute and ML Inference Systems. Worked extensively with Python, Kubernetes, Ray, Golang and AWS
EID intern at GE Healthcare, Jun 2020 - Aug 2020 · 3 mos
