About me

Graduate Computer Science student specializing in AI, machine learning, and secure web systems with proven success in deploying AI models with high accuracy and improving productivity through AI training.

Currently pursuing my Master's in Computer Science at Rutgers University (GPA: 3.6), I bring comprehensive expertise in Artificial Intelligence, Machine Learning, and secure web systems. My experience spans developing real-time AI applications for healthcare, improving ML model accuracy to 98.9%, and delivering impactful digital solutions across various domains.

At Code-blue AI, I developed a breakthrough stroke detection system using facial asymmetry and speech pattern analysis, achieving over 90% sensitivity/specificity. My prompt engineering expertise has enabled organizations to increase task efficiency by 90% through strategic AI tool integration. I've also demonstrated strong leadership in web analytics, driving measurable improvements in user engagement and conversion funnels.

With a Bachelor's in Information Technology (GPA: 3.8) from Amity University and comprehensive certifications in Google Cloud AI, CCNA, and Leadership Development, I'm passionate about leveraging cutting-edge AI technologies to solve complex real-world problems and drive innovation in healthcare, business analytics, and secure systems.

What I'm Doing

  • AI/ML & Data Science

    Building predictive models, implementing deep learning algorithms, and extracting insights from complex datasets using Python, TensorFlow, and advanced analytics.

  • Cybersecurity

    Securing networks, managing cloud security, and implementing AI-driven threat detection solutions to protect critical data.

  • Cloud & Quantum Computing

    Designing secure cloud architectures using AWS, GCP, and Azure, while exploring quantum cryptography and quantum machine learning with IBM Qiskit.

  • Full-Stack Development

    Developing secure web applications with Django, React, and Firebase.

Developer Badges

Resume

Education

  1. Rutgers University

    2024 — 2026
    • Master of Science in Computer Science
    • GPA: 3.68
    • Relevant Coursework: Big Data Algorithms, Data Structures, Machine Learning, Distributed Systems, Cryptography, Software engineering

  2. Amity University

    2020 — 2024
    • Bachelor of Technology in Information Technology
    • GPA: 3.85

Experience

  1. Data Science & AI Research Intern

    Code-blue AI, UC Berkeley-affiliated Startup
    June 2025 — August 2025
    • • Developed real-time stroke detection system using facial asymmetry and speech pattern analysis, achieving sensitivity/specificity above 90%
    • • Improved speech recognition model accuracy to 98.9% by expanding and diversifying training datasets
    • • Implemented advanced machine learning algorithms for medical AI applications with high precision requirements
    • • Collaborated with UC Berkeley researchers on cutting-edge AI healthcare solutions
    • • Technologies used: Python, TensorFlow, PyTorch, Computer Vision, NLP, Medical AI

  2. AI Training & Prompt Engineering Specialist

    Rutgers Business School & Thayer Distribution
    June 2025 — July 2025
    • • Designed and delivered comprehensive training sessions on prompt engineering and AI tool integration for professional and corporate environments
    • • Instructed employees at Thayer Distribution on leveraging GitHub Copilot, Copilot for Microsoft Office, and AI assistants to automate workflows, increasing task efficiency by 90%
    • • Developed role-specific AI integration strategies to streamline repetitive tasks, enhance collaboration, and accelerate decision-making processes
    • • Created training materials and best practices documentation for enterprise AI adoption
    • • Technologies used: GitHub Copilot, Microsoft Copilot, AI Prompt Engineering, Workflow Automation

  3. Marketing Manager & Business Analyst – Web & Analytics Management

    Rutgers-Camden School of Business
    August 2024 — Present
    • • Maintain and optimize GA4 tracking, ACT forms, and website content to improve user experience and conversion funnels
    • • Analyze engagement metrics, traffic sources, and user behavior to guide data-driven marketing strategies
    • • Collaborate on SEO, content design, and UI/UX improvements, leading to measurable increases in engagement rate and traffic acquisition
    • • Fulfill cross-functional responsibilities typical of a marketing manager, including campaign performance analysis, audience segmentation, and website design enhancements
    • • Technologies used: Google Analytics 4, WordPress, SEO Tools, UI/UX Design, Campaign Management

  4. Mobile App Developer Intern

    Aeologic Technologies, Noida
    May 2023 — June 2023
    • • Designed and developed user interface components for Android applications using Java and Android Studio
    • • Collaborated with senior developers on mobile app architecture and best practices
    • • Implemented user interface improvements and performance optimizations for Android applications
    • • Technologies used: Java, Android Studio, UI/UX Design, Mobile App Development

Core Skills

  • Machine Learning & AI
    95%
  • Data Analysis & UI/UX Design
    80%
  • CCNA & Network Security
    85%
  • Project Management & Leadership
    90%

Portfolio

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