Headline

Computer Science and Engineering Graduate

About

Creative and results-driven B.Tech CSE student at KIIT University (2026) with hands-on internship experience at AICTE, AWS, and Google, spanning Machine Learning, Computer Vision, Cloud Architecture, and Backend Development. Proficient in Python, TensorFlow, PyTorch, OpenCV, Flask, Node.js, and AWS SageMaker, with an Oracle-certified SQL credential. Built and deployed real-world projects including a Proximal Fracture Detection model (77% accuracy), a multi-output Suspect Profiling System using Random Forest (84% gender prediction accuracy), and a responsive personal portfolio hosted on Netlify. Experienced in end-to-end ML pipelines, computer vision workflows, NLP, and Generative AI concepts. Comfortable working across the full stack — from training and evaluating models to building Flask/Django-based web interfaces and launching cloud infrastructure on AWS. Strong foundation in data preprocessing, model evaluation, and deploying scalable backend systems. A collaborative team player with a positive, execution-focused mindset. Committed to continuous learning and delivering high-quality, practical solutions. Actively seeking full-time opportunities in AI/ML Engineering, Backend Development, or Cloud-adjacent roles where I can contribute meaningfully from day one.

Location

Bengaluru

AI stack

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Work experience

Intern at Google Developer Experts, Apr 2025 - Jun 2025 · 3 mos, Remote, Completed a Google-backed AI/ML internship focused on implementing machine learning models directly into Android applications, bridging the gap between model development and mobile deployment. Key Highlights: Integrated ML models into Android apps using Google's mobile AI frameworks Built small-scale applications powered by Image Classification, Object Detection, and Product Image Search Gained practical experience deploying on-device AI for real-time inference Strengthened understanding of model optimization for mobile environments A hands-on dive into applied mobile AI — where machine learning meets real user-facing product development.

Cloud Architect Intern at Amazon Web Services (AWS), Jan 2025 - Mar 2025 · 3 mos, Remote, Launched multiple Web Servers to test and understand how the different modules of the server like the networking, storage, computational power and database function.

Artificial Intelligence Intern at All India Council for Technical Education (AICTE), Jan 2025 - Mar 2025 · 3 mos, Remote, Got insight into multiple Machine Learning concepts to build projects upon them. Concepts learned with the help of Amazon SageMaker, and we implemented concepts like Machine Learning Pipeline, Computer Vision, Natural Language Processing, and Generative AI.

Machine Learning Intern at AWS, Jan 2025 - Mar 2025 · 2 mo, Remote, Completed a virtual internship focused on core AWS Cloud Architecture concepts, gaining practical exposure to how enterprise-grade web servers are built and managed on the cloud. Key Highlights: Launched and configured multiple web servers on AWS infrastructure Explored core cloud modules including networking, storage, compute, and databases Gained hands-on experience with AWS services in real deployment scenarios Built foundational understanding of scalable, cloud-native system design A strong foundation in how cloud infrastructure operates at the architectural level — from spinning up servers to understanding how networking and storage layers interact in production environments.

Education

Bachelor of Technology, Computer Science Engineering, KIIT - Kalinga Institute of Industrial Technology

Physics, Chemistry, Mathematics, Biology, Modern English Academy