2020 - 2021
I was a Sr. Machine Learning Engineer at
Unisys. At Unisys, I developed and implemented ML models for intent identification and conversation triaging within
IntelliServe™, a conversational customer support AI tool. Leveraged NLP techniques like RNNs and NER for model development. Also, Contributed significantly to the development of utterance models leveraging knowledge graphs to create synthetic training data for IntelliServe™ conversation engine.This enabled automated conversation generation and facilitated faster model training and iteration.
I also played a significant role in the development of
CloudForte™ (cloud resource optimization platform) where we developed time series forecasting models, leading to significant resource optimization in cloud environments, aiding users in making informed decisions about upscaling or downscaling of resources.All development activities were done within the Databricks ecosystem, and the models were deployed in the Azure cloud.
2015 - 2020
I Joined TCS right after college as a Junior ML Engineer. I was part of the TCS Robotics unit. During my tenure, I actively participated in numerous projects and proof-of-concepts (POCs). Two noteworthy projects are Contract Digitization and SmartQE. In Contract Digitisation, an AI platform for Legal Documents, I designed and implemented a robust pipeline for collecting, storing, cleaning, and transforming legal documents. I also developed models for extracting standard agreement/contract clauses using various NLP techniques. For SmartQE, a test suite optimization model, I significantly enhanced test coverage and reduced redundancy. I created a Defect Prediction model to forecast the number of defects in future application releases. Additionally, I developed a Comparison model to measure the degree of similarity between different test step executions.
2012 - 2014
Master of Science Degree (MS), specialised in information technology, from
Indian Institute of Information Technology & Management Kerala (Upgraded to Digital University Kerala). It was in my master’s program that I got interested in ML. My masters thesis was titled
Threshold logic Object Detection using FPGAs where we proposed 2 novel techniques for object detection using FPGAs. The design and verification was done using Verilog HDL. The design is then synthesised and mapped into FPGA. Thesis Advisor: Dr. Alex P James.