Madhav Dogra
madhavdogra@gmail.com +91 92898 32075 madhavdogra.com Delhi, India
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Vellore Institute of Technology, Vellore
2023 - 2027
B.Tech in Computer Science • CGPA: 9.25
Delhi Public School R.K. Puram, New Delhi
2023
Senior Secondary (Class XII) • Percentage: 90.4%
Delhi Public School R.K. Puram, New Delhi
2021
Secondary (Class X) • Percentage: 96.4%
Experience
Software Engineer Intern
May 2025 – July 2025
LilySys
- Developed a Vendor Management System with a clean and responsive UI, optimized for operational efficiency and seamless vendor lifecycle tracking.
- 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.
Independent Research Project
July 2025 – Present
Under Dr. Bhawana Tyagi (VIT, Vellore)
- Working on a research paper proposing a novel cloud load balancing algorithm using a statistical approach to optimize system performance and resource allocation.
Projects
Mathematics Resources
- Driven 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.
Recursive Market Intelligence (RMI-MMGM)
- Developed a modular system for financial prediction using geometric modeling. It integrates social and financial data to generate dynamic surface-based market forecasts. Still under development.
PolarCrypt: A Novel Post-Quantum Security Standard
- Proposed a cryptographic technique leveraging polar planes to ensure security against quantum attacks. Designed new primitives resistant to post-quantum threats.
Skills
Programming Languages:
PythonJavaCC++GoSwiftJavaScriptTypeScriptHTMLCSSLaTeX
Frameworks:
SwiftUIReactNext.jsNode.js (Basic)
Mathematical/AI Tools:
MATLABR (Language)NumPySciPyTensorFlowPyTorchTransformers
Databases:
SupabaseMySQLSQL PlusNoSQL
Tools & Methodologies:
Problem SolvingData AnalysisJetBrains IDEs
Languages:
English (Native)Hindi (Native)French (Basic)
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.
Certifications
- Oracle Cloud Database Services Professional
- Oracle Cloud Infrastructure, Generative AI Professional
- Oracle Cloud Infrastructure, AI Foundations Associate
- Oracle Analytics Cloud 2025 Certified Professional
- NVIDIA: Introduction to Transformer-Based Natural Language Processing