Summary

Results-driven Machine Learning Engineer with 5 years of experience designing, building, and deploying scalable, end-to-end ML solutions in production cloud environments. Specializes in developing production-grade NLP and Decision Support systems, with hands-on experience in microservice architecture (Java, Spring Boot) and robust MLOps pipelines. Proven ability to translate complex enterprise problems into impactful, data-driven applications.

Education

• B.Tech in Computer Science and Engineering

  2020
  SASTRA Deemed to be University

  Courses: Data Structures, Algorithms, Database Management Systems, Artificial Intelligence, Object-Oriented Design

Work Experience

• Lead - Data Scientist

  October 2020
  Freshworks

  • Engineered and deployed a Root Cause Analysis (RCA) system, using data analysis to automatically diagnose fluctuations in key support metrics.
  • Designed and built the core semantic parsing capabilities for the Query-to-Graph chatbot; later extended the system with multilingual support and engineering enhancements to improve scalability and performance.
  • Built and maintained a scalable, custom intent detection RESTful microservice, creating the infrastructure for users to train, deploy, and manage their own models within the chatbot ecosystem.
  • Developed and deployed a production-grade model for handling small talk conversations, integrating it into the existing chatbot framework to improve user engagement.
  • Contributed key research and proof-of-concepts for the design of the ML monitoring pipeline for the company-wide MLOps platform, focusing on best practices for model performance tracking and versioning.

Skills