Krushna Parmar

AI/ML Researcher, Builder and a Curious Learner

Hi there, I'm Krushna, a final year B.Tech AI/ML student at CHARUSAT working on machine learning research and building impactful AI solutions. I'm had recently worked as an ML Research Intern at BISAG-N (Bhaskaracharya Institute for Space Applications and Geoinformatics, MeitY - Govt. of India), where I developed geospatial ML models and QGIS plugins for flood prediction. I specialize in computer vision, deep learning, and algorithmic inference optimisation, having won multiple hackathons and published open-source projects on PyPI.

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Experience

BISAG-N (MeitY - Govt. of India)

BISAG-N (MeitY - Govt. of India)

ML Research Engineer Intern

Jun, 2025 - Sep, 2025

Gandhinagar, India

  • Developed 3 custom QGIS plugins using PyQt for flood management and spatial analysis
  • Processed and analyzed Sentinel satellite data for Bihar Darbhanga plains and Surat floodplain with feature extraction
  • Trained and evaluated multiple ML models (Random Forest, SVM, XGBoost, Logistic Regression) for flood risk classification
  • Implemented DEM-based flood identification and dynamic flood extent mapping using ML inference
DailyHijacks

DailyHijacks

R&D Engineer (Freelance)

Apr, 2020 - Jan, 2023

Remote

  • Implemented Telethon API and developed Python-based Telegram bots with deployment on Heroku
  • Updated WordPress website, managed social media content, and optimized SEO strategies
  • Researched and wrote SEO-optimized blogs on digital marketing trends and technology
  • Coordinated cross-functional teams on innovative digital marketing strategies and web development

Projects

Feel free to explore my GitHub for more projects. Most of them are open-source.

Research & Innovation

Current Focus

Focused on improving algorithmic accuracy and efficiency, working closely with hardware for real-time and edge inference. Passionate about bridging the gap between ML algorithms and practical deployment on resource-constrained devices.

Exploring hardware-aware ML, model quantization, and optimization for edge devices. Dedicated to advancing AI that is both powerful and accessible in real-world environments.

Algorithm Accuracy Edge Inference Hardware-Aware ML Model Optimization

Thoughts & Insights

I share my research insights, ML breakthroughs, and thoughts on building AI for social good. Explore my collection of technical blogs covering geospatial ML, computer vision, and sustainable technology.

Read my thoughts
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