Aug 2022 – May 2023 · 9 mos · Atlanta, Georgia, United States

• Graduate Teaching Assistant for Deep Learning Course (Class Size ~ 900) taught by Prof. Zsolt Kira.

Aug 2021 – May 2022 · 9 mos · Atlanta, Georgia, United States

• Graduate Teaching Assistant for Deep Learning Course (Class Size ~ 900) taught by Prof. Zsolt Kira.

Aug 2020 – Jun 2021 · 10 mos · Mumbai, Maharashtra, India

• Developed a Java application to automate parsing data collected from application teams and convert them into YML.
• Designed ansible playbooks to migrate 100+ internal applications to new servers, configure and fine-tune them to minimize latency, and handle more than 90,000 concurrent network requests.
• Designed a new Jenkins pipeline to integrate new internal applications with the organization’s single sign-on reducing the new integration waiting time to minutes from days. Incorporated logging at various priority levels using log4j.
• Technologies Used: Java, Python, Ansible, Linux.

Jul 2020 – Aug 2020 · 1 mo

• Developed two models to classify emotions from text using NLP and DL.
• BI-LSTM model : Developed an ensembled Bi-directional LSTM model which takes 2 sentences as input for context and 3rd sentence whose emotion has to be predicted. Classified each sentence into four classes : Happy, Sad, Angry and Others.
• BERT model : Developed a custom classification model fine-tuned on BERT which classified each sentence into 7 classes : Joy, Fear, Anger, Sadness, Disgust, Shame and Guilt.
• Converted the models to Tensorflow lite to easily integrate it with mobile application and provide on-device inference.
• Application currently live on Google Play Store and App Store.

Jun 2018 – Sep 2018 · 3 mos · Hyderabad, Telangana, India

• Trained a chatbot with DialogFlow Framework and integrated it with the company’s existing website.
• Developed a full-fletched Android application for communication between user and Human Resource Department in situations when bot is unable to answer a query. Project currently hosted at https://byteridge.com.
• Technologies Used: JavaScript, Google’s Firebase, DialogFlow framework, Firebase cloud functions and AJAX.

Feb 2018 – May 2018 · 3 mos · Mumbai, Maharashtra, India

• Developed a web application, which is currently in use, to monitor changes on a website using Image Processing.
• Constructed a novel Image-Comparison Algorithm to detect changes in two images and highlight them.
• Technologies Used: Python, OpenCV, Django, JavaScript, HTML, CSS.
• Co-authored and presented a paper at Scopus-Indexed “International Conference on Computer Vision and Bio Inspired Computing (ICCVBIC 2019)”, accepted for publication in Springer Series, ‘Advances in Intelligent Systems and Computing Series’, expected by Feb 2020.

May 2017 – Apr 2018 · 11 mos · Dwarkadas J. Sanghvi College Of Engineering, Mumbai, India

• Served as Core Marketing Head of DJSCE Entreprenuership Cell.
• Handled various social media platforms and increased public reach of events. The flagship event, ‘Ideapex’ was covered by 2 newspapers: Maharashtra & Navbharat Times.

Apr 2017 – Apr 2018 · 1 yr · Dwarkadas J. Sanghvi College Of Engineering, Mumbai, India

• Served as Co-Committee Marketing Team Member of DJSCE Codestars, competetive programming club of my college.
• Conducted meetings and secured sponsors for the flaghsip event – ‘Code-UnCode’. Primary sponsors being Endeavour, McDonalds and Mad over Donuts.