Charudatta
Korde

Experimental distributed governance architecture modeling a DAO-driven educational infrastructure with federated node participation.

Torrent-based decentralized training and inference framework designed for distributed model collaboration without centralized control.

OCR pipeline for handwritten Devanagari script integrating neural architectures and preprocessing optimization techniques.

Local AI-powered documentation engine that converts structured project inputs into readable technical documentation.

Minimal backend system for secure, time-bound file sharing with ephemeral storage and controlled access logic.

Workflow automation framework to streamline build, commit, testing, and deployment processes across research projects.

Electrical and Electronics Engineering background with emphasis on secure computation, signal processing, and embedded intelligence. Bridging hardware systems with scalable software architectures.

Research background in VLSI system design with doctoral work focused on hardware acceleration of Generative Adversarial Networks (GANs) on FPGA-based edge devices. Investigates resource-efficient neural architectures, quantized computation, and hardware-software co-design strategies to enable low-latency, power-aware AI deployment in constrained environments.

Teaching and mentoring at NFSU in areas spanning Malware Analysis, Artificial Intelligence, Natural Language Processing, Vulnerability Assessment & Penetration Testing (VAPT), Incident Response, and Applied Cryptography. Emphasis on bridging theoretical foundations with hands-on system-level implementation, preparing students for real-world security and AI challenges.

Software developer specializing in Python-based AI/ML systems, web application development, and decentralized architectures. Builds scalable backends, intelligent automation pipelines, and peer-to-peer blockchain frameworks with focus on modular design, performance optimization, and secure deployment.