About me

I am a motivated and enthusiastic individual currently pursuing a Master's degree in Computer Science at Arizona State University. With a background in engineering from the University of Mumbai, I have developed a strong passion for problem-solving and innovation.

My professional experience includes working as a software developer at Tata Consultancy Services in Mumbai, where I contributed to various projects, improved processes, and mentored colleagues. These experiences have honed my ability to work effectively in a team and adapt to new challenges.

Throughout my academic journey, I have been involved in several projects that allowed me to explore my interests and apply my skills in practical settings. I am particularly proud of the projects where I contributed to improving user experiences and developing innovative solutions.

Outside of my professional and academic life, I enjoy organizing and participating in events. I have taken on leadership roles in various activities and have been recognized for my contributions and achievements. I am committed to continuous learning and personal growth, and I am excited about the opportunities ahead to make a positive impact.

What Am I Skilled At?

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    Front-End Development

    Ensuring browser compatibility, designing user interfaces, optimizing performance, and enhancing mobile responsiveness

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    Back-End Development

    Crafting APIs, modeling data, managing errors, handling sessions, and balancing loads

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    Algorithms and Database Management

    Working with SQL, analyzing data, and developing algorithms.

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    Machine Learning

    Utilizing ML for practical applications, adept in data science, with some exposure to NLP, IP, and CV.

    • Experience

    Web4Site.net

    1. Software Engineer Intern

      June 2024 - August 2024

      1. Optimized a scalable e-commerce platform using React.js and Node.js, increasing transactions by 20%

      2. Simplified state management with Redux and custom hooks, reducing API response times by 30%

      3. Improved SEO with server-side rendering via Next.js, driving a 25% increase in traffic

      4. Delivered real-time updates through Socket.io, boosting user engagement by 15%

      5. Facilitated weekly Agile standups and knowledge-sharing sessions, fostering team collaboration among 20+ developers

    Tata Consultancy Services

    1. Software Developer

      May 2022 - May 2023

      1. Spearheaded the development of a customer portal using React.js and Node.js, enhancing user engagement by 25%

      2. Streamlined API efficiency by 40% with Redis, Express.js and optimized RESTful APIs

      3. Automated CI/CD pipelines with Jenkins and Docker, cutting deployment time by 50%

      4. Transitioned legacy systems to TypeScript, improving maintainability and reducing bugs by 30%

      5. Conducted technical mentorship for a team of 30+ developers, delivering 20+ sessions on best coding practices

    1. Assistant Software Developer

      June 2021 - May 2022

      1. Engineered reusable React components, elevating UI performance by 20%

      2. Deployed microservices using Docker, Kubernetes, and React, increasing system reliability by 25%

      3. Enhanced telemetry collection with Datadog APM, reducing debugging time by 20%

      4. Refined backend performance with C++ and gRPC, cutting latency by 25%

      5. Led knowledge-transfer sessions for 200+ employees, delivering 50+ productive sessions on microservices architecture

    Education

    1. Arizona State University

      Master of Science (MS) Computer Science 2023 — 2025 GPA: 4/4

      Relevant Coursework - Data Structures and Algorithms, Machine Learning, Distributed Database Systems, Blockchain


    2. University of Mumbai

      Bachelor of Engineering (B.E.) Electronics and Telecommunications Engineering 2017 — 2021 GPA: 9.30/10

      Relevant Coursework - Structured Programming Language, OOPS using JAVA, Database Management System, Big Data


    Projects

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    Virtuous Vehicles - Mapping Human Driving Behaviour in Self-Driving Cars

    - Designed an innovative AI car, leveraging Jetson Orin Nano for advanced analysis of user driving behavior
    - Utilized the CARLA simulator to evaluate and train the data for self-driving cars
    - Obtained a $300,000 grant from the National Science Foundation
    - Engineered using Python, C++, Robotics, AI Methodologies, Data Analytics with the help of domain experts

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    Defending Reality - Deepfake Detection

    - Led team to 94% deepfake detection accuracy with advanced CNNs and innovative model development
    - Precision data preprocessing achieved a stellar 0.99 AUC, highlighting the model's exceptional discriminatory prowess
    - Tuned VGG16 for consistent excellence, attaining 94% accuracy, 95% precision, 93% recall, and a 94% F1-score
    - Balanced ethics and innovation, delivering a model prioritizing privacy, security, and individual rights

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    EngageBot - Intelligent University Assistance System

    - Delivered a real-time messaging system using Socket.io, Node.js, and MongoDB, supporting 500+ users
    - Secured user authentication with JWT, ensuring 99.9% uptime
    - Utilized Redis for session storage, lowering latency by 30%
    - Applied responsive design principles with CSS Grid and Flexbox, achieving 100% compatibility across devices
    - Enhanced engagement with a notification system using the Web Push API, driving a 25% increase in activity

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    Student Insight Hub

    - Created an application for entering student data, manipulating and presenting the same
    - Employed Python3 for frontend language and integrated SQLite3 as backend, incorporating various Python Modules
    - Enhanced system performance, yielding a remarkable 20% increase in data processing speed
    - Optimized application response time, resulting in a 15% reduction in latency for a more responsive user experience

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    Dynamic Fitness Tracking Web Application

    - Designed an e-commerce app with React.js, Node.js, and PostgreSQL, increasing transactions by 30%
    - Configured Stripe for payment processing, ensuring 99% secure transactions
    - Built a responsive, mobile-first UI using Tailwind CSS, improving mobile user experience by 40%
    - Secured user authentication with JWT and OAuth2 for over 500 active users
    - Implemented a recommendation system using machine learning, improving sales conversions by 15%

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    Fraud Detection System Using Machine Learning

    - Developed a fraud detection model with Python and scikit-learn, achieving 95% accuracy
    - Deployed the model via Flask and AWS Lambda, reducing detection time by 30%
    - Automated retraining with Airflow, decreasing manual effort by 40%
    - Created a Plotly Dash dashboard, enhancing analytical efficiency by 30%
    - Analyzed 1M+ transactions to uncover key fraud patterns

    • Daniel lewis

    Daniel lewis

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