Experience

ELSEWARE

• France
• Business Consulting and Services
• 1 - 100 Employee

• Machine Learning Engineering Intern

  • Feb 2023 - Present

  Building a classification and summarization pipeline to classify risk based text articles using Large Language Models. Building a classification and summarization pipeline to classify risk based text articles using Large Language Models.



University of California, Los Angeles

• Information Services
• 1 - 100 Employee

• Teaching Assistant

  • Jan 2022 - Present

  1. TA for Mathematics for Life Sciences (LS30B). Responsibilities include handling lab sessions in Sagemath and Office hours. - Winter 22 2. TA for ECE188 Secure Computer Systems - Spring 22 3. TA for Mathematics for Life Sciences (LS30B) - Fall 23 4. TA for Mathematics for Life Sciences (LS30B) - Spring 23 1. TA for Mathematics for Life Sciences (LS30B). Responsibilities include handling lab sessions in Sagemath and Office hours. - Winter 22 2. TA for ECE188 Secure Computer Systems - Spring 22 3. TA for Mathematics for Life Sciences (LS30B) - Fall 23 4. TA for Mathematics for Life Sciences (LS30B) - Spring 23



Shipt

• United States
• Software Development
• 700 & Above Employee

• Software Engineering Intern

  • Jun 2022 - Sep 2022

  • Worked on the financial tooling team on building internal tools for the company. • Built an NLP powered system to analyse customer and experience team interactions, helping in identifying and segmenting emails based on the type and tone of the interaction. Achieved a 20% reduction in time taken and 50% reduction in man power required to perform the same task compared to the existing system. • Also worked on an in house data ingestion platform that parsed data from external APIs and resources and sent it to our data lake. Show less



Mahindra University

• India
• Higher Education
• 200 - 300 Employee

• Research Assistant

  • Sep 2019 - Jul 2021

  1. Worked under Prof. Arya Kumar Bhattacharya on applying deep learning to problems in the industry. 2. Researched on LSTM based models to predict digressions in steel casting plants to an accuracy of 98%. 3. Also worked on using Differential Evolution and Neural Networks to test for fault tolerance in Solar Panels 1. Worked under Prof. Arya Kumar Bhattacharya on applying deep learning to problems in the industry. 2. Researched on LSTM based models to predict digressions in steel casting plants to an accuracy of 98%. 3. Also worked on using Differential Evolution and Neural Networks to test for fault tolerance in Solar Panels



AirProbe

• India
• Renewables & Environment
• 1 - 100 Employee

• Deep Learning and Computer Vision Engineer

  • Oct 2020 - Mar 2021

  1. Working on using image data collected from solar plants to provide a complete digitization of the plant using traditional image processing and deep learning. 2. This includes working on thermographic images to understand the location of faults and using drone images to identify serial IDs and barcodes to locate panels in the plant. 3. Trained SOTA models like YOLOV4 and Detectron for object detection. 1. Working on using image data collected from solar plants to provide a complete digitization of the plant using traditional image processing and deep learning. 2. This includes working on thermographic images to understand the location of faults and using drone images to identify serial IDs and barcodes to locate panels in the plant. 3. Trained SOTA models like YOLOV4 and Detectron for object detection.

• Machine Learning Engineering Intern

  • Jun 2019 - Jul 2019

  1. Created a database of Operational Risk texts scraped from internet articles. 2. Studied different methods of generating embeddings of text articles, from simplest averaging to LSTM networks. Built an end-to-end system that predicted the correct category an article belonged to with 8% error. 1. Created a database of Operational Risk texts scraped from internet articles. 2. Studied different methods of generating embeddings of text articles, from simplest averaging to LSTM networks. Built an end-to-end system that predicted the correct category an article belonged to with 8% error.



Indian Institute of Technology, Madras

• India
• Higher Education
• 700 & Above Employee

• Summer Intern

  • Jul 2018 - Jul 2018

  Worked in the Communications Systems Department on software-defined radios, with a focus on its utilization in building a portable base station for use in emergency situations in disaster-stricken areas. Worked in the Communications Systems Department on software-defined radios, with a focus on its utilization in building a portable base station for use in emergency situations in disaster-stricken areas.