Highly analytical and results-driven Engineering Physics student with a strong foundation in Deep Learning, Full-stack Development, and competitive programming. Proven ability to innovate and deliver high-impact technical solutions, as demonstrated by achieving 98%+ accuracy in EEG signal processing and developing AI-powered systems for network anomaly detection. Seeking to leverage expertise in machine learning, data structures, and system design to drive technological advancements in a challenging software engineering or research role.
Software Developer Intern
Pune, India, India
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Summary
Developed an AI-powered agent and backend system for network anomaly detection, enhancing operational efficiency and data integrity.
Highlights
Engineered a LangGraph-based AI agent to autonomously detect over 100 weekly network anomalies, significantly reducing manual intervention and enabling real-time ticket generation.
Developed a robust backend system to identify network issues and verify existing reports, streamlining resolution workflows and enhancing operational efficiency.
Integrated MongoDB for high-volume network log storage and PostgreSQL for structured ticket management, eliminating duplicate entries and improving data integrity.
Research and Development Intern
Delhi, India, India
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Summary
Designed and implemented novel deep learning architectures for raw EEG signal processing, achieving high accuracy on public datasets.
Highlights
Designed and implemented novel deep learning architectures to process raw EEG signals, advancing research in brain-computer interfaces.
Trained advanced deep learning models on public SAM40 and MAT EEG datasets, demonstrating proficiency in model optimization and data handling.
Implemented batch normalization and dropout techniques to significantly prevent overfitting, enhancing model robustness and generalization across diverse EEG data.
Achieved state-of-the-art accuracies of 98.73% (SAM40) and 97.24% (MAT) using Conv1D-based end-to-end learning for EEG signal classification.
Joint Secretary
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Summary
Organized 5+ tech events to foster student engagement in hardware, software, and semiconductor fields.
Highlights
Successfully organized over 5 technology events, engaging students in hardware, software, and semiconductor fields, fostering community and skill development.
Co-Head, AI-ML
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Summary
Led AI-ML initiatives for 3 major projects, including ML-integrated drones and unmanned vehicles.
Highlights
Directed AI-ML development for 3 significant projects, including the integration of machine learning into drones and unmanned vehicles, guiding project teams to successful outcomes.
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Bachelor of Technology
Engineering Physics
Grade: CGPA: 8.52
Awarded By
Delhi Technological University
Achieved 2nd rank in the department with a 9.26 SGPA across Semesters 5 and 6, consistently maintaining a top-10 standing.
Awarded By
University of Oxford
Selected for the prestigious OxML 2025 Summer School by Oxford on Machine Learning, recognizing high potential in the field.
Awarded By
Divine Lab, IIT Delhi
Selected for a competitive research internship at Divine Lab, IIT Delhi, from a pool of over 500 applicants.
Awarded By
IIIT Delhi
Secured 8th rank in HackCOG, a competitive hackathon hosted by IIIT Delhi, demonstrating strong problem-solving and technical skills.
Published by
8th International Conference on Parallel, Distributed and Grid Computing (PDGC 2024)
Summary
Paper accepted at the 8th International Conference on Parallel, Distributed and Grid Computing (PDGC 2024), focusing on advanced deep learning techniques (CNNs, OpenCV) for brain stroke classification.
MongoDB, PostgreSQL.
Git, GitHub, Puppeteer, OAuth 2.0, Google Maps API, Location API, Image APIs, Tailwind CSS.
Full-stack Development, Machine Learning, Deep Learning, Computer Vision, Data Structures & Algorithms, Object-Oriented Programming (OOPs), System Design, Competitive Programming, Backend Development, Frontend Development, AI Agent Development, Network Anomaly Detection, EEG Signal Processing, Object Detection, Itinerary Planning, Web Scraping, Data Analysis, Model Robustness, Problem Solving, Technical Leadership, Project Management.
Java, Python, TypeScript, JavaScript.
React, Node.js, Next.js, Express, Prisma, TensorFlow, Pandas, NumPy, JWT, OpenCV, LangGraph, Firebase.