Back to home

Resume

Resume

Download PDF

DINANATH DASH

(814) 431-2699|reach@dinanath.dev

Bhubaneswar, Odisha - 751030, India

dinanath.dev linkedin.com/in/dinanathdash github.com/dinanathdash

Summary

Software engineering student specializing in scalable Next.js architectures, applied cryptography (AES-256-GCM), and local machine learning integrations. Demonstrated experience architecting secure, zero-knowledge backend systems and data-driven web interfaces using Supabase, Redis, and LLM pipelines.

Experience

• Celebal Technologies Pvt. Ltd.

Jun 2025 - Aug 2025
React JS InternRemote
  • ◦ Engineered "FreightFox", an internal shipment delivery platform using React.js and Firebase, delivering a production-ready dashboard from scratch within an 8-week agile cycle.
  • ◦ Architected real-time tracking, dynamic shipment management, and role-based authentication workflows.
  • ◦ Integrated RESTful APIs via Axios and optimized application state management to eliminate redundant network calls, streamlining data flow and improving dashboard render times.

• Visital Technologies Pvt. Ltd.

Sep 2024 - Apr 2025
UI Developer (Part-Time)Remote
  • ◦ Prototyped interactive web components and optimized UI architecture, isolating rendering bottlenecks and successfully reducing developer handoff time by 25%.
  • ◦ Validated the technical feasibility of state management designs alongside the core engineering team, ultimately cutting frontend rework time by 30%.

Education

• Institute of Technical and Education Research

Nov 2022 - Jun 2026
Bachelor of TechnologyBhubaneswar, India
  • ◦ CGPA: 8.15

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 utilizing envelope encryption with a master and data key hierarchy to prevent server-side secret exposure.
  • ◦ Implemented AES-256-GCM cryptography, automatic key rotation, and Redis caching for highly performant data retrieval under load.
  • ◦ Engineered Role-Based Access Control (RBAC) to enforce granular team permissions and developed a custom CLI in GoLang for terminal-based secret syncing.

• Project B: Hybrid Secret Scanner

Mar 2026 – Present
Tools: Meta Llama 3, Apple MLX, Python, Regex
  • ◦ Engineered a two-phase secret detection pipeline designed to run entirely offline on Apple Silicon hardware, prioritizing data privacy.
  • ◦ Integrated a local Meta Llama 3 ML module with a high-performance Regex ingestion engine to identify and flag vulnerabilities.
  • ◦ Co-authored a technical evaluation framework benchmarking the model against TruffleHog and Gitleaks, achieving an F1-Score of 0.8723 and a 94.27% recall rate across the 27,000-line CredData dataset.

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