Experience

Ocrolus

• United States
• Financial Services
• 300 - 400 Employee

• Senior Machine Learning Engineer

  • Jan 2023 - Present

  New York, United States

• Machine Learning Engineer

  • Jun 2021 - Jan 2023

  New York, United States Development of ML as a Service in Fintech for information retrieval from documents. Neural Nets, GNN's, Language models, Knowledge Graphs. Work on some SOTA ML algorithms and software engineering. Worked on backend for the ML service, including auth, setting up ml services with tools like Flask, Postgres, bazel build system, Terraform, Kubernetes and aws.



UMD Department of Computer Science

• United States
• Software Development
• 1 - 100 Employee

• Machine Learning Research Assistant

  • Oct 2019 - Jun 2021

  College Park, Maryland, United States -Responsible for research and development in deep learning algorithms for domain adaptation and to improve autonomous driving performance under Dr. Ming Lin. Published papers in International conferences. -Research and development in adversarial techniques to augment datasets to address limited collision scenario data.



Ether Labs (acquired by Atlassian)

• United States
• Technology, Information and Internet

• Machine Learning Engineer

  • Jul 2018 - Jul 2019

  -Conceptualized, prototyped, and productized various Ether AI features. -Implemented microservices driven AI pipelines (a.k.a lego blocks approach) for various AI modules to ensure high availability and faster response time for real-time processing by leveraging state-of-the-art cloud infrastructures and services. -Developed language models for Team Meeting summary Generation: Performed applied AI research on semi-supervised approaches to generate Potential Important Minutes of team… Show more -Conceptualized, prototyped, and productized various Ether AI features. -Implemented microservices driven AI pipelines (a.k.a lego blocks approach) for various AI modules to ensure high availability and faster response time for real-time processing by leveraging state-of-the-art cloud infrastructures and services. -Developed language models for Team Meeting summary Generation: Performed applied AI research on semi-supervised approaches to generate Potential Important Minutes of team meetings from unstructured meeting conversations with topics from different domains using limited datasets. Extended it as a web service for the Beta launch of the product. -Developed Keyphrase extraction and topic modeling service for Team Meeting conversations: Developed semi-supervised approaches to extract most relevant keyphrases from conversations in the team meetings and track changes in topics in the meetings. Released as a product feature in the Beta launch. -Key Focus: Transformer architectures in NLU, Linguistics, and NLP, Model Finetuning and Distillation, Continuous and cumulative learning, Graph learning, Model deployment, Continuous Integration Show less



Tata Elxsi

• India
• IT Services and IT Consulting
• 700 & Above Employee

• Machine Learning Engineer

  • Jul 2016 - Jun 2018

  Bengaluru, Karnataka, India -Responsible for Applied AI research in the deep learning space in the team and execute high-quality customer deliverables. -Key highlights as a project lead (07/2017-06/2018): *Lead a small team of ML engineers to build object detection/classification algorithms to run on compute-constrained home appliances and patient monitoring systems. *Conceptualized and prototyped a lightweight deep learning framework to run on low end embedded devices without additional memory/compute… Show more -Responsible for Applied AI research in the deep learning space in the team and execute high-quality customer deliverables. -Key highlights as a project lead (07/2017-06/2018): *Lead a small team of ML engineers to build object detection/classification algorithms to run on compute-constrained home appliances and patient monitoring systems. *Conceptualized and prototyped a lightweight deep learning framework to run on low end embedded devices without additional memory/compute overhead. -Implemented reinforcement learning algorithms for self-navigating robots. -Performed applied AI research on depth map prediction using mono camera. -Key Focus: Neural Network optimization/distillation, Robot Path planning, reinforcement learning. Show less



8th Mile '16, A Technocultural Extravaganza

• Head of Technical Events

  • Jun 2015 - Jun 2016

  RVCE My responsibilities include designing Technical Events for the the college fest which includes circuit events,programming based events and other technical events.Apart from arranging and designing the events,i am responsible for administrating the rules and regulations and judging aspects,arranging sponsors and assets to support these events



Centre of Electronics Test Engineering

• Intern

  • Jun 2015 - Aug 2015

  Developed skills on metrology, plc, microcontroller programing,RF interference with industrial equipments exposure



Hewlett Packard Enterprise

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Advanced Robotics and Embedded systems,trainee

  • May 2014 - Aug 2014

  Worked on developing my skills on embedded systems and robotics as a trainee. Worked on various embedded systems projects to incorporate hardware skills while working on embedded programming.