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Ashwin Sathiyanarayanan

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Boston, Massachusetts, United States

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Jobs verified_user 0% verified
  • Themesoft Inc.
    Software Engineering Co-op – Full Stack Development
    Themesoft Inc.
    Jan 2025 - Apr 2025 (4 months)
    Architected a full-stack web platform using NextJS frontend delivery and NodeJS backend services, improving page load performance by 40%.Built on this architecture by optimizing client-side rendering and backend response paths through code-splitting, lazy loading, and API efficiency improvements.Delivered 10+ production-grade features across the stack, driving a 30% reduction in bounce rate through improved UX.Designed modular frontend components and reusable backend logic, reducing maintenance overhead by 25% for extensibility.
  • T
    Mobile Application Developer
    Tamil Nadu Government
    Jun 2023 - Aug 2023 (3 months)
    Engineered a React Native application, integrating GCP services to automate data management and improve efficiency by 90%.Implemented asynchronous data processing and secure authentication, reducing data handling time by 25%.Optimized UI/UX workflows and performance, enhancing responsiveness and increasing user satisfaction by 20%.
  • V
    Team Lead & Full Stack Developer
    VIT Centre for Automation
    May 2022 - Feb 2023 (10 months)
    Led the frontend development using ReactJS and backend integration with MySQL and REST API, resulting in a 40% increase in development speed and improved data accessibility.Collaborated with cross-functional teams to integrate SQLAlchemy and streamline version control using Git, achieving a 35% reduction in data retrieval time.Streamlined workflows with Agile methodologies, boosting team collaboration and cutting development cycles by 25%.
  • P
    Backend Developer Intern
    POWSTIK
    May 2022 - Jul 2022 (3 months)
    Architected a Spring Boot MVC backend, defining API, business, and persistence layers to support e-commerce workflows.Optimized relational schemas and JPA(Hibernate) queries, improving efficiency and reducing data access latency by 40%.Implemented REST APIs for product, order, and user domains, increasing overall system functionality by 65%.
Education verified_user 0% verified
  • Northeastern University
    Master of Science, Computer Science
    Northeastern University
    Sep 2023 - Dec 2025 (2 years 4 months)
    GPA: 3.79/4.0 Coursework: Programming Design Paradigms, Database Management Systems, Algorithms, Artificial Intelligence, Natural Language Processing, Web Development, Mobile Application Development, Human-Computer Interaction
  • Vellore Institute of Technology
    Bachelor of Technology, Computer Science and Engineering
    Vellore Institute of Technology
    Jul 2019 - Aug 2023 (4 years 2 months)
    GPA: 3.8/4.0 Coursework: Object Oriented Programming, Software Engineering, Web Programming, Artificial Intelligence, Data Analytics
Projects (professional or personal) verified_user 0% verified
  • S
    ShareWise AI
    Dec 2024 - Feb 2025 (3 months)
    Developed a full-stack AI-powered expense platform enabling secure tracking through a React frontend and Node.js REST APIs. Implemented an OCR pipeline using Tesseract.js to automate receipt parsing, reducing manual entry by 70%. Integrated LLM-based product categorization with OpenAI APIs and LangChain to improve classification accuracy and adapt to user spending patterns.
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    Inclusion of Persons with Disabilities in the Technological World
    Jan 2023 - Apr 2023 (4 months)
    Implemented an application to assist the hearing impaired with a speech-to-image module, the emotionally blunt with expression detection, the physically challenged using an AI-powered keyboard, and those with depression through NLP-based sentiment analysis.
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    EmoTrack
    Sep 2021 - Dec 2021 (4 months)
    Built a full-stack sentiment analysis platform analyzing Spotify and Twitter data to detect mental health patterns using transformer-based NLP models. Fine-tuned a BERT classifier achieving 80%+ accuracy, with insights served via FastAPI APIs.
Publications verified_user 0% verified
  • Elsevier
    Analysis of Convolutional Neural Networks on Indian food detection and estimation of calories
    Elsevier
    Jan 2022 - Mar 2022 (3 months)
    Indian Cuisine has a peculiar aroma and flavour distinct from other cuisines. On the other hand, Obesity, Diabetes, and Hypercholesterolemia are severe problems in the Republic of India. This research aims to develop and analyze a Deep Learning model based on OpenCV for identifying Indian cuisine and determining their calories. Indian Cuisine dataset was built by extracting images from the internet and preprocessing them to fine quality. From the dataset, the classification of Indian Cuisine was done by Convolutional Neural Network, and with the help of image processing techniques, calories of the classified food were calculated. After an enormous amount of analysis, the developed model detects Indian food cuisine with an accuracy of 99.19%