Sai Akhil K

About Sai Akhil K

Result-oriented ML engineer and applied researcher with end-to-end experience shipping LLM, RAG, and multimodal systems in healthcare, fintech, and telecom, from BERT fine-tuning and churn modeling to clinical assistants and KYC automation. Skilled in Python, PyTorch, AWS, and modern LLM tooling, with a track record of revenue impact, production deployments, and first-author work on hallucination prediction in VLMs; now aiming to build and scale agentic and LLM-powered products with teams that care about reliability and real users.Resume - https://tinyurl.com/saikres

Experience

1. Senior Data Scientist

   Comviva

   Feb 2022 — Present

   No-Code ML Tool AWS Deployment- Developed and deployed a no-code ML tool on AWS to enable business teams to deploy machine learning models and generate automated reports, enhancing operational efficiency- Implemented CI/CD pipelines for seamless updates and feature releases, ensuring faster time-to-market and improved model deployment workflows.Database Schema Optimization for Faster Data Retrieval- Designed and optimized a database schema, reducing storage by 25% and improving data retrieval performance by 40% in production environments- Leveraged AWS Redshift and Terraform to automate infrastructure deployment, ensuring a scalable and high-performance database solution.Multi-Source Data Ingestion & Analytics Dashboard- Developed multi-source data ingestion pipelines from 7 distinct databases, ensuring smooth integration and data synchronization across systems- Optimized data pipeline performance for fault tolerance, improving data flow reliability and enabling real-time analytics on the dashboard.

Education

• Stony Brook University

  Master's degree