Resume
Resume
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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 2025React 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 2025UI 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 2026Bachelor of TechnologyBhubaneswar, India
- ◦ CGPA: 8.06
Projects
• Project A: Envault - Secure Environment Variable Management Platform
Jan 2026 - PresentTools: 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 – PresentTools: 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 2025Tools: 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
- • LetsUpgrade: Figma Bootcamp
- • NXTWave: AI for Students: Build Your Own Generative AI Model