Madhav Dogra

Madhav Dogra

madhavdogra@gmail.com +91 92898 32075 madhavdogra.com Delhi, India
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Education

Vellore Institute of Technology, Vellore

2023 - 2027

B.Tech in Computer ScienceCGPA: 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