# Tejas Chheda > ML SWE @ Meta | MS CS @ UMass Amherst | Grad Student Researcher @ IBM, IESL | ex-ML Intern @ PayPal | JN Tata Scholar Location: San Francisco Bay Area, United States Profile: https://flows.cv/tejaschheda I'm a master's in Computer Science graduate from the University of Massachusetts Amherst. My interests lie in the areas of Software Development and Machine Learning, and their application to various sectors including healthcare. Past summer I worked as a Machine Learning Intern at PayPal solving the problem of content moderation for the Document Management Team under Consumer Success. I have also worked on determining the robustness of model explainability for NLP models at IBM - with focus on integrated gradients method and various forms of adversarial attack. At IESL Lab - UMass Amherst, I developed and am maintaining the box embeddings library - having TensorFlow and PyTorch version for implementing box parametrization, volume etc. The work done in this project was presented at EMNLP 2021. I am dedicated to any task I undertake and work diligently to persist with its completion. I also like to engage in software development contests and have a demonstrated history of participating in various national and global level Hackathons. ## Work Experience ### Software Engineer - Machine Learning @ Meta Jan 2022 – Present | California, United States ### Graduate Teaching Assistant @ Manning College of Information and Computer Sciences, UMass Amherst Jan 2022 – Jan 2022 | Amherst, Massachusetts, United States Graded assignments and homework for the course COMPSCI 348: Principles of Data Science taught by Prof. David Jensen ### Career Developer @ Manning College of Information and Computer Sciences, UMass Amherst Jan 2021 – Jan 2022 | Amherst, Massachusetts, United States • Assisted undergraduate and graduate students with various stages of internship and job search • Worked with students on networking strategies, resume reviews, and interview prep for software-centric and data science-related roles ### Graduate Student Researcher @ IBM Jan 2022 – Jan 2022 | Amherst, Massachusetts, United States • Aimed at evaluating the adversarial robustness of explanation methods for NLP model using saliency maps and integrated gradients explanation method utilizing techniques used in image domain • Evaluated RoBERTa base model on word deletion, inflection, synonym substitution and misspelling attack using a novel greedy based attack strategy to achieve successful attack rate in the range of 32-86 % ### Graduate Student Researcher @ University of Massachusetts Amherst Jan 2021 – Jan 2022 | Amherst, Massachusetts, United States • Extended Box Embeddings library to TensorFlow, designing custom layers to perform numerically stable geometric operations, including their smoothed variants and custom regularization • Wrote unit tests (≥86 % coverage) ensuring TensorFlow layers matched their PyTorch counterparts, and merging the code into a unified codebase with existing continuous integration • First author (joint) on the paper ‘Box Embeddings: An open-source library for representation learning using geometric structures’ [EMNLP 2021] ### Machine Learning Intern @ PayPal Jan 2021 – Jan 2021 | Austin, Texas, United States • Designed a content moderation system to mitigate mental trauma faced by customer support agents due to exposure to offensive comments and lewd content during chat interactions with consumers and merchants • Achieved 91% accuracy in detecting lewd graphic content by implementing transfer learning approach using VGG16 and custom object detection model ### Artificial Intelligence Engineer @ Miko Jan 2020 – Jan 2021 | Mumbai, Maharashtra, India • Optimized a voice-based question answering framework intended for children up to 10 years of age • Designed a context-based sentence matching module using FAISS approach on Sentence-BERT embeddings ### Research Intern - Machine Learning @ Skinzy Software Solutions Private Limited Jan 2017 – Jan 2020 | Mumbai, Maharashtra, India • Developed models capable of predicting 15 commonly occurring skin diseases from image using transfer learning technique and achieved 95% accuracy in results • Validated model performance with domain experts (dermatologists at KEM Hospital, Mumbai), conveying technical modeling information to intended end-users and incorporating feedback • Created a module to validate input skin image using color and feature based similarity check ### Undergraduate Teaching Assistant @ Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai Jan 2019 – Jan 2019 | Mumbai Area, India • Mentored sophomores for their project as a part of the Object Oriented Programming Lab curriculum • Conducted remedial lectures and doubt solving sessions on Java programming and implementation ### Consultant - Analytics Team @ Ugam Jan 2019 – Jan 2019 | Mumbai Area, India • Project: Automating insight generation from consumer reviews relating to specific commodities for a leading US based e-commerce retailer • Developed a streamlined system using NLP techniques, reducing system turnaround time by 45% while maintaining 85% accuracy ### Research Intern - Machine Learning @ Indian Institute of Technology, Bombay Jan 2019 – Jan 2019 | Mumbai, Maharashtra, India • Surveyed existing methods to perform sentiment analysis on social media tweets in Hindi language • Developed lexicon and rule-based method for predicting sentiment score and aided in model evaluation using precision, recall and F1 metrics ### Technical Secretary @ Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai Jan 2018 – Jan 2019 | Mumbai, Maharashtra, India • Conducted workshops, trainings and interactive sessions for freshman and sophomores relating to Android and Machine Learning topics • Organized the SPIT Hackathon 2019 which saw participants coming in from across India ## Education ### Master of Science - MS in Computer Science University of Massachusetts Amherst ### Bachelor of Engineering - BE in Computer Engineering Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai ### PACE Junior Science College, Andheri ### Ryan International School Malad ICSE ## Contact & Social - LinkedIn: https://linkedin.com/in/tejas-chh --- Source: https://flows.cv/tejaschheda JSON Resume: https://flows.cv/tejaschheda/resume.json Last updated: 2026-03-29