# Bhargav BV > SDE at MathWorks | MS in CS @ USC | Distributed Systems Fanatic | Ex Google DSC lead Location: Waltham, Massachusetts, United States Profile: https://flows.cv/bhargavbv ~ Savouring the tiniest Eurekas in the world of tech and productization. Things that get me going are aspects of distributed systems, Parallelization, Abstraction, Knowledge Graphs, Realm of Scalability, NLP, Graph Analytics, ML and Full stack web Development. ~ MS in CS at University of Southern California. ~ Gained 2 years of massive technical and managerial experience at Onedirect as a Senior full stack dev. Led a team of 15 people across 3 different customer experience products. Worked on 15+ microservices, 3 web apps, 1 mobile app and have launched 50+ major features. ~ Ex-Student lead at Developer Students Club and Mentor at AI&ML Innovation Lab - Conducted workshops and project expos that immensely helped me to create awareness in the local communities about the current technologies. Mentored over 40 different AI & ML projects which implemented major deep learning models. ~ Active participation in Hackathons, Ideathons and Coding competitions. ~ Teaching is one of the things I love to do besides coding and has helped me create awareness among students. I always try out creative ways to teach people and have taught courses in AI & ML, DBMS, React and React Native development. ~ Other hobbies: - Dance team lead @Atomic Breakdown Crew - Graphic Designing - Posters, Videos and User Interfaces. ## Work Experience ### Software Engineer @ MathWorks Jan 2024 – Present | Natick, Massachusetts, United States ### Data Science and Engineering Intern @ Scry AI Jan 2024 – Jan 2024 | San Jose, California, United States ### Student Software Developer @ Laboratory of Neuro Imaging (LONI) Jan 2023 – Jan 2024 | Los Angeles, California, United States ### Software Engineer Intern @ MathWorks Jan 2023 – Jan 2023 | Natick, Massachusetts, United States Led the successful development of an innovative project management tool, utilizing generative AI, to redefine the landscape of project presentation, efficiency, and sustainability. Strategically made pivotal design choices, including rate-limiting, and the implementation of task schedulers & throttling techniques. These decisions seamlessly facilitated the retrieval of projects from cloud-based and version-controlled repositories. Introduced asynchronous compliance checks to ensure impeccable code quality. This was achieved by leveraging LLMs for comprehensive analysis and intelligent recommendations. Key Features: - Streamlined project initiation through the automatic setup of essential modules, readme, licenses, examples, and unit test cases. This process only requires the input of the project's name and description. - Simplified the resolution of compliance issues within projects, such as refining code structure and rectifying missing readme or unit test cases, all at the tap of a button. - Ongoing exploration of advanced functionalities, including the integration of a Microsoft Teams chatbot. This bot offers real-time project updates and user-driven solutions for project-related issues & Project task breakdown and milestone planning, enhancing project management capabilities. ### Graduate Student Programmer @ University of Southern California Jan 2022 – Jan 2023 | Los Angeles, California, United States - Used Airflow to create workflows that gathered admission updates from different college departments via SFTP. Updated the database, made statistics reports, and sent automated slack updates. - Developed Tableau dashboards by fetching data from the database and making different charts to show insights about admissions. - Prepared reports for the government's NSS organization. Filtered records, resolved conflicts, and provided accurate student counts. ### Team Lead and Full Stack Developer @ Gupshup Jan 2020 – Jan 2022 | Bengaluru, Karnataka, India * Developed a POC on scaling the data storage for an analytics application by implementing the data pipeline on a distributed Apache Pinot DB cluster and also a distributed graph DB - Nebula Graph and bench-marked the performance for the two systems. * Participated in the integration of our product line into the Gupshup suite of products by exposing rest APIs. * Single-handedly designed and orchestrated a chatbot analytics product which has representations like user behavioral flows, conversation path analytics, word cloud, goal funnels. The technologies included Spring boot, Kafka, Redis, Mysql, Arango DB, Mongo DB, D3 js (charts). * Mentored a team in implementing a distributed line-tracing system using jaeger and to configure custom traces and metadata required to troubleshoot a specific workflow. * Mentored a team in implementing a customer feedback analytics engine using a bert based sentiment analyser which not only analyses the sentiment of a sentence, but also assigns the sentiment for a specific topic category and sub-category. Eg: Ambience - Bad, Service - Good * Migration of Kafka with Mirror Maker to an upgraded Kafka cluster (2.8). Upgraded Kafka Connect and also re-designed the Kafka topics and partition configuration to afford seamless horizontal scaling. Have solved multiple Kafka P0 issues involving intermittent kafka offset reset, kafka streams rebalancing, kafka connect performance tuning to name a few. * Developed multiple chatbot widgets with test cases to expand the options for the user to interact with the bot with omni channel integration like facebook, twitter, whatsapp, viber. * Integrated dialog flow with existing chatbot application to analyze the user response and to make decisions for the further flow. * Developed a Kafka Monitoring and Visualization internal tool to manage the kafka cluster on premise and also developed several internal applications to help bridge the gap between developers and the client management team. ### Lead @ Google Developer Student Clubs Jan 2019 – Jan 2021 | Bengaluru, Karnataka, India * Conducted workshops on Cloud Computing using GCP, React Native web development, AI & ML, Web Development using Node JS, Git hub and Docker. * Conducted a hackathon with problem statements provided by research professors on various domains like bio-tech, health etc. ### Full stack engineer Intern @ OneDirect - CX Management Firm Jan 2020 – Jan 2020 | Onedirect * Developed a mobile application in react native for ticketing user's comments from multiple social media channels like facebook, twitter, instagram, email, gmb. Also providing the ability to reply and forward those tickets using Gupshup email service. Integrated firebase cloud messaging to implement real time updates and notifications on the devices through sockets. * Developed a microservice to integrate reddit as a channel by implementing oAuth 2 workflow and creating a Cron based pull service to gather posts from subreddits and DMs from inbox that match certain pre-configured key words and creating tickets from these posts asynchronously. * Developed the user interface and the back-end architecture to support infinite nesting of comments which Reddit uses. ### Development Intern @ Learnyst Jan 2019 – Jan 2019 | Bangalore * Migrated vanilla JS and HTML scripts to Jekyll and hosted on CloudCannon CMS to make the website (www.learnyst.com) lighter and allow the marketing team to update information on the website without dependency on the developers. * Refined Google PageSpeed Insights score from 40 to 97 for both mobile and web apps through various techniques like code and image optimizations, compressing JS files and page caching. ### Developer @ Monday Ventures Jan 2018 – Jan 2019 | Bengaluru Area, India * Designed an Automatic Number Plate Recognition tool using OpenCV and Keras and wrapped it in a flask application * Used ensemble methods to improve the accuracy of the above application and tested it in Parking lots and Road junctions. ### Machine Learning Intern @ Hotify Inc. Jan 2018 – Jan 2018 | Whitefield * Developed a deep learning model using GRU to generate a remix version of any mono channel audio. * Trained the model by converting audio from mp3 format to spectrograms and then recognizing these notes in the song. * Worked on replacing the existing notes with similar pre-selected background music. ### Machine Learning Intern @ Techajars Jan 2017 – Jan 2017 ### Graphic Designer @ Flipchat.me Jan 2017 – Jan 2017 | HSR Layout * Developed posters and videos for promotion and marketing and designed svg elements for mobile application. * Developed a wordpress landing website to promote about the mobile application and to have an online presence. ## Education ### Master of Science - MS in Computer Science University of Southern California ### Bachelor of Technology in Computer Science Dayananda Sagar College of Engineering, BANGALORE ## Contact & Social - LinkedIn: https://linkedin.com/in/bhargav-bv-0528 --- Source: https://flows.cv/bhargavbv JSON Resume: https://flows.cv/bhargavbv/resume.json Last updated: 2026-03-28