Headline

Sr. Machine Learning Engineer@_VOIS | VNIT M.Tech CSE (2021-23) | Citi Innovation Challenge 4.0 hackathon Runner-up | GATE AIR 1321

About

Senior ML Engineer with 4+ years building and shipping production ML and GenAI systems at scale, leveraging the power of AWS cloud technologies. At VOIS, I own the end-to-end ML lifecycle for 15+ live use cases on the Financial platform — from feature engineering, Model Training to Optimization and AWS deployment. I've cut training times by 88%, reduced infrastructure costs by 48%, and designed RAG-PAL based GenAI systems from the ground up. M.Tech from VNIT Nagpur | GATE AIR 1321

Location

Pune District

AI stack

antigravity

codex

Work experience

Sr. Machine Learning Engineer at _VOIS, Aug 2023 - Present · 3 yrs 1 mo, Pune District, Architected the team-wide reference ML pipeline on AWS SageMaker (Spark Processing → Feature Engineering → Training → Inference → Post-Processing), adopted as the standard framework across all Data Scientists in the organization within the AWS. Owned end-to-end ML lifecycle for 15+ production use cases on the high-volume Financial platform — spanning problem framing, data ingestion, feature engineering, model training, AWS deployment, drift monitoring, and post-production maintenance. Delivered an 88% reduction in training time (34 hrs → 4 hrs) for 477 site-level models by redesigning the pipeline with parallel multi-core training on high-compute AWS instances, simultaneously cutting infrastructure costs by 26%. Reduced prediction latency by >90% and pipeline cost by 34% through multiprocessing and horizontal/vertical scaling strategies across multiple high-volume use cases. Designed and deployed a RAG-based QnA system for European stock market analysis — built the full document ingestion, chunking, embedding, and LLM generation stack to deliver context-grounded answers on market trends. Built a data drift detection pipeline with automated profiling and reporting, enabling proactive model maintenance and improving production reliability across all deployed use cases. Achieved 48% reduction in dev account operational costs and 32% storage savings by building CloudFormation + tagging-based automation to detect and eliminate unused AWS resources and standardize S3/EFS data storage.

Subject Matter Expert (Computer Science) at HW Saver LLP, Jun 2021 - Sep 2021 · 4 mos

Assistant System Engineer at Tata Consultancy Services, Jul 2019 - Nov 2020 · 1 yr 5 mos, Nagpur, Maharashtra, India

Education

Master of Technology - MTech, Computer Engineering, Visvesvaraya National Institute of Technology

Bachelor of Technology, Information Technology, Government College of Engineering, Amravati.