Madhav Dogra
Education
Delhi Public School R.K. Puram, New Delhi
Secondary (Class X)
Delhi Public School R.K. Puram, New Delhi
Senior Secondary (Class XII)
Vellore Institute of Technology, Vellore
B.Tech in Computer Science
Experience
Software Engineer Intern
LilySys
- Built a middleware to connect Acoem Sensors with MPPCB (Madhya Pradesh Pollution Control Board), automating data extraction, SQL table creation, and transmission in a standardized, processable format.
- Developed a Vendor Management System with a clean and responsive UI, optimized for operational efficiency and seamless vendor lifecycle tracking.
Independent Research Project
- Working under the supervision of Dr. Bhawana Tyagi (Assistant Professor Sr. Grade 1, VIT, Vellore) on a research paper proposing a novel cloud load balancing algorithm using a statistical approach to optimize system performance and resource allocation.
Projects
EchoTouch
WebsiteAn AI-powered wearable for deaf and hard-of-hearing individuals that translates environmental sounds into haptic feedback patterns. Built with STM32 microcontrollers, Azure AI services, and edge ML models for real-time sound classification and intuitive vibration-based alerts.
PetnPets
WebsiteA comprehensive pet management and social platform combining medical record tracking, vaccination reminders, and vet visit logs with social features like pet profiles, community feeds, and lost pet alerts. Includes a smart collar concept with GPS and health monitoring.
Balance - Find Peace
App StoreA mindfulness and mental wellness iOS app published on the App Store. Designed with SwiftUI to help users find calm through guided breathing exercises, meditation timers, and mood tracking.
Mathematics Resources
BrowseDriven by a deep love for mathematics and the belief that education should be free and accessible, I created and published open-source mathematical resources for learners and educators.
Skills
Awards
First Place, Stat-a-thon (2025)
Led the team and was awarded first place for proposing and partially implementing a novel hybrid neural architecture for stock market trend prediction. Our model, TKLA, combined Kolmogorov-Arnold Networks, multi-scale LSTMs, hierarchical attention, and option-specific features.
First Place, IEEE Hack-Battle (2025)
Led the team and won first place for creating a game interconnected with human blinking patterns, showcasing innovative human-computer interaction design.
Academic Achievements
Structured & Object-Oriented Programming Lab
Microprocessors & Microcontrollers Lab
Probability and Statistics
Java Programming Lab
Digital Systems Design Lab
Python Programming Lab