Godwin J
Coimbatore, India | global.alfagroups.tech/godwin.html
PROFESSIONAL SUMMARY
Capable and reliable Software Engineer candidate with hands-on experience building web applications, AI-driven tools, and
secure backend systems. Demonstrates practical implementation skills in full-stack development, from deploying multi-tenant
cloud architectures to implementing efficient cryptographic algorithms. Strong understanding of the SDLC and version control,
with a focus on writing clean, maintainable code and integrating multimodal LLMs into functional web products.
TECHNICAL SKILLS
• Languages: Java, Python (Flask), JavaScript (ES6+), SQL.
• Backend & Security: RESTful APIs, Node.js, AES-256-GCM, SHA-256, Merkle Trees, Post-Quantum Cryptography
(PQC).
• Frontend: React.js, Tailwind CSS, Vanilla JS, HTML5/CSS3.
• Cloud & DevOps: Google Cloud Platform (GCP), AWS, Azure, Docker, Firebase, Vercel, Railway.
• Tools & Libraries: Git, GitHub Copilot/LLMs (AI-Assisted Development), OpenCV, Gemini API, Linux CLI, Postman.
• Concepts: SDLC (Agile/Scrum), Unit & Integration Testing, Data Structures & Algorithms (DSA), System Design Basics,
Multi-tenancy.
SOFTWARE ENGINEERING PROJECTS
AlfaVox: Multi-Tenant No-Code SaaS Platform | Full-Stack Developer
alfavox.alfagroups.tech
• Developed a full-stack, multi-tenant SaaS portfolio platform enabling 10+ users to deploy custom websites, using a Git-based
workflow and RESTful architecture for efficient content management.
• Designed and deployed a hybrid-cloud infrastructure across GCP, AWS, and Azure, ensuring high availability, horizontal
scalability, and optimized frontend performance with sub-second load times.
• Implemented secure data handling by designing an isolated Firestore access model and integrating Firebase Authentication
with role-based access control (RBAC) for end-to-end user lifecycle management.
AlfaHawk: AI Forensic Evidence Analysis Platform | Software Developer
alfahawk.alfagroups.tech
• Built an end-to-end web system that processes multimedia evidence to generate structured investigation reports, focusing on
backend reliability.
• Implemented a privacy-centric, in-memory processing pipeline using OpenCV and Flask, ensuring zero persistent file-system
storage for sensitive data.
• Integrated multimodal features using the Gemini API for real-time object identification, event detection, and timeline reconstruction.
• Developed a motion-based sampling algorithm for frame extraction to capture key evidence while significantly reducing
backend processing overhead.
• Ensured evidence integrity by implementing a SHA-256 hashing verification layer for every analyzed file and generated
investigation report.
QSALE: Quantum-Safe Tamper-Evident Audit Engine | Backend Developer
[Functional Prototype]
• Implemented a cryptographic logging system using AES-256-GCM for confidentiality and ML-DSA for post-quantum security
measures.
• Designed a Merkle tree-based batching system that improved scaling by reducing digital signature overhead from O(n) to
O(1) per batch.
• Built a three-layer verification pipeline (Integrity, Merkle Proof, Signature) enabling auditors to validate logs accurately
without decryption.
• Engineered a tamper-detection mechanism to identify unauthorized modifications at the ciphertext, hash, or signature level
during system debugging.
• Architected the system using a modular approach to separate the cryptographic core from the integrity layer and verification
APIs for better maintainability.
EDUCATION & CERTIFICATIONS
Karunya Institute of Technology and Sciences | B.Tech in Computer Science and Engineering
May 2026
Certifications: IBM AI Fundamentals, Postman API Student Expert, Google IT Support Professional, Cisco CCNA Fundamentals.
