Open to full-stack, cybersecurity, and penetration testing opportunities — reach out via the contact section.

Resume

Education

Parul University

2020 — 2024

Researching various topics and integrating life and passion into one module. Grade Point Average: 7.46 Results to be declared in May 2024, exams to be completed by March 2024 in Vadodara.

Sri Chaitanya J.R College

2018 — 2020

Completed intermediate with a percentage of 6.9 at Sri Chaitanya J.R. College in Guntur.

Sri Chaitanya Techno School

2017 — 2018

Completed 10th grade with a grade point average of 7.7 in Guntur.

Professional Experience

Junior Engineer

ROPODS (Medtech Startup) • June 2025 — Augest 2026

Current
  • Secured the shop.ropods.com storefront and Razorpay payment integration; engineered internal API routes with rigorous input validation and RBAC checks, securing 100% of checkout flows
  • Engineered a dual-layer CAPTCHA system (Google reCAPTCHA v3 + custom logic challenge) across public-facing endpoints to thwart bot attacks and form spam
  • Architected secure Next.js deployment pipelines on Vercel via GitHub Actions, enforcing strict environment-scoped secrets management
  • Drove continuous SAST and dependency auditing, maintaining zero known high-severity CVEs and resolving 100% of security-related TypeScript/ESLint errors
  • Conducted research on UCP (Universal Commerce Protocol) and ACP (Agentic Commerce Protocol) for product-to-platform communication standards

Projects

CIELON

Freelance Client Project

  • Architected the secure backend infrastructure for a greenfield Next.js 16 storefront, enforcing strict TypeScript type-safety across all server-side functions
  • Built a secure content synchronization pipeline between Sanity Studio and Firestore with a custom read cache and strict Firebase Security Rules
  • Authored backend security architecture documentation and database schema designs focused on data confidentiality and Zero Trust principles

Training & Internships

Summer Trainee

Intel Unnati • May 2023 — July 2023

Built an AI-powered road object detection system using OpenCV, implementing memory-safe image preprocessing and strict input validation to mitigate buffer overflows and adversarial input vectors. Designed secure data ingestion architectures for large-scale TensorFlow datasets, ensuring data integrity and tamper-proofing throughout the training lifecycle.

Cybersecurity Trainee

TryHackMe • September 2022 — February 2023

Enrolled on TryHackMe to learn and practice cybersecurity skills, participated in challenges and completed learning paths to enhance knowledge.

Cybersecurity Practice Trainee

PicoCTF • November 2022 — April 2023

Actively engaged with the platform to enhance cybersecurity skills through practical challenges and learning paths.