About

Researcher · Engineer · Educator

I build systems with logic, explore ideas with curiosity, and live with awareness. This page collects the concrete facts — education, experience, skills and achievements.

Mission

Systems that scale intellectually

I am Charudatta Gurudas Korde — an engineer, developer, researcher, and educator driven by curiosity and depth. I think in systems. I build with intention. I research with discipline. And I teach to simplify complexity. My work lives at the intersection of architecture and abstraction — where ideas become structured systems and theory becomes implementation. I am drawn to decentralized technologies, open knowledge, and designing solutions that are minimal yet comprehensive.

Beyond engineering, I am a lifelong learner — anime, food, gardening, reading, and coding as a creative outlet. I value rest and reflection as much as productivity, and I believe technology should not only advance capability but also elevate awareness. Growth for me is holistic — intellectual, creative, and inner.

Education

Academic background

  • 2017 — 2026 (Expected)
    Ph.D. in VLSI & Reconfigurable Computing

    Research focus: hardware acceleration of GANs on FPGA-based edge devices. National Institute of Technology Goa.

  • 2015 — 2017 · 80%
    M.Tech. in Microelectronics

    Master's project: multifractal analysis of ionospheric TEC as a seismic precursor (GEC Goa & IIT Bombay).

  • 2011 — 2015 · 76%
    B.E. in Electrical & Electronics Engineering

    Bachelor's project: handwritten Devanagari script recognition with FPGA pre-processing (GEC Goa).

  • 2009 — 2011 · 72%
    Higher Secondary School Certificate (HSSC)
  • 1999 — 2009 · 69%
    Secondary School Certificate (SSC)
Experience

Where the work happens

  • 2024 — Present
    Contract Lecturer, National Forensic Sciences University

    Teaching Incident Response and Vulnerability Assessment & Penetration Testing (VAPT), integrating applied cybersecurity practice with system-level analysis and research-informed instruction.

  • 2024
    Visiting Faculty, Goa Polytechnic College

    Laboratory instruction in Basic Electronics — circuit fundamentals, measurement techniques and applied engineering principles.

  • 2018 — Present
    Research Scholar, National Institute of Technology Goa

    Doctoral research in FPGA-based AI acceleration — GAN architectures, hardware-software co-design, and resource-efficient intelligent systems. Academic mentoring and laboratory guidance as Teaching Assistant.

  • 2019
    Software Validation Engineer, Intel

    Validated Quartus tool flows, contributing to verification processes, workflow robustness and software quality assurance.

  • 2015 — Present
    Independent Research & Open-Source Development

    Analytical and software development projects spanning medical signal analysis, data-intensive systems and automation tooling; open-source utilities for documentation generation, file-system organization and programmatic graphics.

Skills

Tools and disciplines

Core expertise
Python FPGA Design GAN Architectures Edge AI Distributed Systems Blockchain (P2P)
Programming & hardware
Verilog VHDL C CUDA MATLAB LaTeX
AI / ML stack
PyTorch TensorFlow NumPy Scikit-Learn Stable Diffusion LLM Integration
Security & systems
Malware Analysis VAPT Incident Response Cryptography Secure Architectures
Achievements

Achievements & mentorship

  • Guided 6 postgraduate students in thesis writing — mentored research scholars across problem formulation, experimental design, system implementation and academic structuring in AI, GAN optimization and hardware-accelerated architectures.
  • Cleared Stage 1 — AI Grand Challenge — qualified in the initial evaluation round of the national-level AI Grand Challenge (PS12, Underwater Acoustic Systems).
  • Completed a 5K marathon — discipline, endurance and long-term consistency, applied to sustained research and systems engineering.
  • Poster presentation on edge computing optimization — clarity of communication across technical and non-technical audiences.
  • State-level chess tournament competitor — strategic reasoning, foresight and pattern recognition transferable to AI modeling and distributed systems design.
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