Kankanala Rohith Reddy

I’m a Mathematics and Computing undergraduate at BITS Pilani Hyderabad Campus with strong interests in:

• High-Performance Programming
• Quantitative Finance & Stochastic Calculus
• Information Security
• Numerical Optimization & Analysis
• Full Stack Development

I enjoy building scalable backend systems, solving complex algorithmic problems, and exploring the intersection of mathematics, financial modeling, and secure software development.

Tech Skills

Languages

• C / C++
• Java
• Python
• JavaScript
• MATLAB
• HTML/CSS

Frameworks & Tools

• React.js
• Node.js
• Express.js
• Spring Boot
• Tailwind CSS
• Vite & Maven
• Git & GitHub

Databases

• PostgreSQL

Areas of Interest

• High-Performance Computing (Memory Pools & VLAs)
• Quantitative Finance & Derivatives Pricing
• Information Security (Symmetric Searchable Encryption)
• Numerical Methods & Optimization
• Competitive Programming
• Systems Programming

Planning to Learn

• Advanced Stochastic Calculus
• Distributed Systems
• Machine Learning for Finance
• Cloud Deployment (Docker & Kubernetes)

Projects I Worked On

Live Mart — E-commerce Platform Tech Stack: React.js, Spring Boot, PostgreSQL, Stripe, Vite, Maven

• Designed a secure and scalable backend using Spring Boot with layered architecture and PostgreSQL.
• Implemented Spring Security with JWT-based stateless authentication and Role-Based Access Control.
• Integrated the Stripe payment gateway and built a React.js frontend using Vite and Tailwind CSS with role-specific dashboards.

Information Security Applications Tech Stack: Python

• Developed logic for evaluating password entropy and security.
• Implemented AES-256-CTR based encrypted indices for the secure handling of sensitive data, such as medical records, using Symmetric Searchable Encryption (SSE) schemes.

Numerical Solvers & Engineering Simulations Tech Stack: C, C++, MATLAB

• Implemented highly optimized C-based numerical solvers and data structures utilizing Variable-Length Arrays (VLAs) and memory pools, strictly avoiding dynamic memory allocation (malloc).
• Modeled and simulated non-linear mass-spring-damper systems and piecewise linear approximations using Runge-Kutta solvers in MATLAB.

Achievements

• Codeforces — Maximum Rating: 1254
• CodeChef — Maximum Rating: 1375

Connect With Me

• Email: [email protected]
• Institutional Email: [email protected]