Highly motivated B.Tech student specializing in AI-powered embedded systems, with a proven track record in robotics, computer vision, and edge deployment. Expertly developed and deployed real-time applications, including a weed detection and spraying robot utilizing YOLOv8 on Raspberry Pi and ESP32, and a CNN-based plant disease classifier. Currently advancing research in interpretable Graph Neural Networks and optimizing lightweight large language models, seeking to leverage deep learning and embedded systems expertise to drive innovative solutions.
Python, Java, C, C++, JavaScript, TypeScript.
TensorFlow, PyTorch, NumPy, Pandas, Scikit-learn, NLP, CNNs, Graph Neural Networks, Large Language Models (LLMs), YOLOv8, Computer Vision, Deep Learning, Interpretability.
React, Tailwind CSS, Next.js, Node.js, Express.js, Drizzle ORM, PostgreSQL, Vercel, UX Design.
Raspberry Pi, ESP32, Edge Deployment, Micro Tractor (Custom Built), Robotics, Precision Agriculture.
MySQL, PostgreSQL.
Matplotlib, OpenCV, TF-IDF.
Data Structures and Algorithms, Linear Algebra, Calculus, Cloud Computing, Content Similarity, Subgraph Perturbation.
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Summary
Engineered and deployed a YOLO-based object detection model tailored for real-time weed localization and removal in precision agriculture, integrating it into a Raspberry Pi based micro-tractor.
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Summary
Reproduced the original YOLOv1 object detection architecture from scratch, implementing a custom loss function, grid-based detection logic, and a complete training pipeline.
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Summary
Built a personalized movie recommender system inspired by academic research, utilizing content similarity and TF-IDF vectorization to provide accurate recommendations.
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B.Tech
Electronics and Communication Engineering
Courses
C
C++
Java
Data Structures and Algorithms
Linear Algebra
Calculus
ML
Cloud Computing
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High School Diploma
CBSE (Class XII)
Awarded By
Arya College
Awarded first place in a Java Data Structures and Algorithms competition, demonstrating exceptional problem-solving and programming skills alongside a teammate.
Awarded By
PCTE College
Secured first place in a React.js Web Development competition, showcasing advanced frontend development and design capabilities.
Published by
International Conference on Data Science and Applications (ICDSA 2025)
Summary
Presented a research paper on developing and deploying a YOLOv8-based real-time weed detection system for precision agriculture, demonstrating significant advancements in automated herbicide spraying technology.
Co-Convener
Ludhiana, Punjab, India
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Summary
Co-convened significant events for TEC at Guru Nanak Dev Engineering College, overseeing comprehensive planning and execution.
Highlights
Co-managed the end-to-end planning and execution of large-scale college events, ensuring seamless operation and high participant satisfaction.
Coordinated with diverse stakeholders, including faculty, students, and external vendors, to secure resources and facilitate event success.
Implemented effective communication and promotional strategies, significantly increasing event visibility and participation.
Tech Lead
Ludhiana, Punjab, India
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Summary
Led technical initiatives and provided strategic guidance for project development within CML at Guru Nanak Dev Engineering College.
Highlights
Directed the technical roadmap for key projects, ensuring alignment with organizational goals and successful delivery.
Mentored and guided junior team members, enhancing their technical proficiency and fostering a collaborative development environment.
Collaborated cross-functionally to integrate advanced technical solutions, streamlining workflows and improving project outcomes.