About me

I'm a passionate AI/ML student and full-stack developer currently pursuing B.Tech in Computer Science and Engineering (AIML) at PES University, Bangalore. I specialize in building intelligent systems, edge computing applications, and real-time solutions using deep learning and computer vision.

With hands-on experience in MERN stack development, 5G networks, and advanced AI/ML techniques including CNNs, NLP, and LLMs, I'm committed to creating innovative solutions that bridge the gap between cutting-edge research and practical applications. I've led technical teams, completed research internships, and earned 50+ Google Cloud badges, demonstrating my dedication to continuous learning and technical excellence.

What I'm doing

  • AI icon

    AI/ML Development

    Building intelligent systems using deep learning, computer vision, NLP, and LLMs for real-world applications.

  • Web development icon

    Full-Stack Development

    Creating robust web applications using MERN stack with API integration and complete SDLC practices.

  • edge computing icon

    Edge AI & ADAS

    Developing edge computing solutions and ADAS systems with 5G, YOLO models, and sensor fusion.

  • research icon

    Research & Innovation

    Exploring causal inference, model optimization, and advanced ML techniques for innovative solutions.

Resume

Education

  1. PES University - RR Campus

    Aug 2023 — Present

    B.Tech in Computer Science and Engineering (AIML), CGPA: 6.55/10. Specializing in Artificial Intelligence and Machine Learning with focus on deep learning, computer vision, and edge computing.

  2. Delhi Public School

    May 2021 — April 2023

    Higher Secondary Education (CBSE), Percentage: 80%. Durgapur, West Bengal.

  3. De Nobili School

    June 2009 — April 2021

    10th Grade ICSE Boards, Percentage: 90.1%. Dhanbad, Jharkhand.

Experience

  1. Summer Research Intern

    Jun 2025 — Aug 2025

    Center for Information Security, Forensics and Cyber Resilience (PESU 5G Lab). Developed 5G-enabled cooperative ADAS framework with YOLO-based object detection, UWB-GPS fusion, and V2V/V2X communication for collision avoidance.

  2. Tech Project Team Lead

    Jan 2025 — Apr 2025

    Center for Innovation and Entrepreneurship, PES University. Led development of Dynamic ADAS system with resource-aware YOLO model switching for edge devices (Jetson Nano, Raspberry Pi).

  3. Data Analytics Intern

    Nov 2024

    NullClass Academy (Remote). Applied data analytics techniques including EDA, data cleaning, and predictive modeling on real-world datasets. Built visualization dashboards and analytical reports.

  4. Data Visualization Intern

    Aug 2024

    Accenture US Student Internship Program (Remote). Completed virtual internship focused on data visualization and analytics. Earned Accenture Innovator badge.

My skills

  • Python & AI/ML
    90%
  • Deep Learning & Computer Vision
    85%
  • MERN Stack Development
    80%
  • Edge AI & IoT
    85%
  • Cloud & DevOps (GCP, AWS)
    75%
  • NLP & LLMs
    80%

Certifications & Achievements