About me

I’m currently a B.Tech student in Information Technology and a Research Intern at IIIT Nagpur, where I’m working on a research project focused on sustainability and data-driven decision-making. The research involves designing and analyzing real-world datasets, with the end goal of developing a machine learning model that can support measurable, impact-oriented outcomes.

Alongside my research, I actively build skills across cloud computing, AI/ML, and backend development. I’m currently 4× AWS Certified (Cloud Practitioner, Solutions Architect – Associate, AI Practitioner, and Machine Learning Engineer – Associate) and continuously deepen my understanding of scalable system design and modern developer workflows. I’ve also completed hands-on AI/ML training at IIT Kanpur (E&ICT Academy), gaining practical exposure to real-world machine learning pipelines.

I’ve qualified GATE 2025, maintain a 7.84 CGPA, and consistently sharpen my problem-solving skills through LeetCode and personal projects. My work spans technologies like Python, FastAPI, TensorFlow, Docker, and AWS, with a focus on turning research ideas and data-driven concepts into deployable systems. I enjoy learning by building — whether that means contributing to open-source, experimenting with new frameworks, or translating complex ideas into practical, working solutions.

What i'm doing

  • AWS Cloud Architecture

    Designing secure, resilient, and cost-optimized cloud architectures using the AWS Well-Architected Framework and core services like EC2 and S3.

  • DevOps & CI/CD

    Automating deployment pipelines with Docker and Kubernetes, managing infrastructure as code, and integrating CI/CD to enhance system efficiency and scalability.

  • ML/AI Engineering

    Developing, deploying, and optimizing Machine Learning models, covering deep learning, computer vision, OpenCV, and real-time AI applications.

  • Core CS & Algorithms

    Implementing efficient, low-level computational logic and solving complex problems with strong foundational computer science principles, as demonstrated by passing GATE 2025.

Resume

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For a detailed overview of my qualifications and experience, please view or download my official resume.

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Education

  1. B.Tech. - Information Technology, Medi-Caps University

    2022 — 2026

    Currently pursuing a B.Tech with a strong focus on Information Technology, maintaining a CGPA of 7.84/10. My coursework emphasizes core CS fundamentals, algorithms, and advanced application development.

  2. National Public School, Indore

    12th CBSE (2021) & 10th CBSE (2019)

    Completed secondary and higher secondary education with a strong foundation in science and mathematics.

Training & Experience

  1. Research Internship, IIIT Nagpur

    Jan 2026 — Present

    Ongoing research internship focused on a sustainability-oriented problem, involving data analysis and machine learning–driven modeling. Actively working on translating research insights into a deployable ML solution while following academic and industry research practices.

  2. AI/ML Summer Training Program, IIT Kanpur (E&ICT Academy)

    June 2023 — July 2023

    Intensive training program focused on Artificial Intelligence, Machine Learning, and Deep Learning concepts. Gained hands-on experience using industry-standard tools like Keras and TensorFlow for real-world model development.

  3. GATE 2025 Qualified

    Computer Science

    Qualified the Graduate Aptitude Test in Engineering (GATE) in Computer Science, demonstrating strong problem-solving skills and solid core computer science fundamentals.

Technical Expertise

  • AWS Cloud & Infrastructure
    90%
  • ML/AI Engineering & Vision
    85%
  • DevOps (Docker, Kubernetes)
    80%
  • Core CS Fundamentals (C++, Python)
    95%

Certificates