Resume

DINANATH DASH

(814) 431-2699|dashdinanath056@gmail.com

Bhubaneswar, Odisha - 751030, India

Summary

Full-Stack Software Engineer and security researcher specializing in scalable Next.js architectures, secure environment variable management, and local machine learning integrations. Proven track record of bridging complex backend logic (AES-256-GCM, Redis, LLM pipelines) with optimized, user-focused web interfaces. Driven to build secure, high-performance, and data-driven applications.

Experience

Celebal Technologies Pvt. Ltd.

Jun 2025 - Aug 2025
React JS InternRemote
  • Engineered a responsive internal shipment delivery application using React.js and Firebase, architecting robust data flow for real-time tracking and authentication.
  • Integrated RESTful APIs via Axios and managed complex application state, reducing data retrieval latency and delivering a production-ready dashboard within an 8-week agile cycle.

Visital Technologies Pvt. Ltd.

Sep 2024 - Apr 2025
UI Developer (Part-Time)Remote
  • Bridged design and frontend engineering by prototyping interactive web components and optimizing UI architecture, reducing developer handoff time by 25%.
  • Collaborated cross-functionally with the core engineering team to validate the technical feasibility of state management designs, cutting frontend rework time by 30%.

Education

Institute of Technical and Education Research

Nov 2022 - Jun 2026
Bachelor of TechnologyBhubaneswar, India
  • CGPA: 8.06

Projects

Project A: Envault - Secure Environment Variable Management Platform

Jan 2026 - Present
Tools: Next.js 14, Supabase, Redis, AES-256-GCM, Tailwind CSS[envault.tech]
  • Architected a zero-knowledge vault using envelope encryption with a master and data key hierarchy, utilizing AES-256-GCM, automatic key rotation, and Redis caching.
  • Developed a custom CLI for terminal-based secret syncing and implemented Role-Based Access Control (RBAC) to manage granular team permissions.

Project B: Hybrid Secret Scanner

Mar 2026 – Present
Tools: Meta Llama 3, Apple MLX, Python, Regex
  • Engineered a two-phase secret detection pipeline running completely offline on Apple Silicon, integrating a local Meta Llama 3 ML module with a high-performance Regex ingestion engine.
  • Co-authored the technical evaluation framework, benchmarking the hybrid model against industry standards (TruffleHog, Gitleaks) to achieve an F1-Score of 0.8723 and a 94.27% recall rate on the 27,000-line CredData dataset.

Project C: FreightFox - Shipment Delivery Platform

Jun 2025 - Aug 2025
Tools: React.js, Firebase, Tailwind CSS, ShadCN UI[freight-fox.web.app]
  • Built a responsive internal shipment delivery app with real-time tracking, end-user login, and dynamic shipment management using Firebase as a backend.
  • Designed and developed fully functional dashboards ensuring a seamless user experience and clean data-driven workflows.

Skills

  • Languages: TypeScript, JavaScript, Python, HTML, CSS, SQL
  • Frontend Frameworks: React, Next.js, Tailwind CSS, ShadCN UI
  • Backend & Databases: PostgreSQL, Supabase, Firebase, Redis, Convex

Achievements and Certifications