Hi, I'm Manthan Hirani
A passionate researcher and developer focused on AI, Computer Vision, and Deep Learning. Explore my work or chat with my AI assistant to learn more.
Development
Building robust applications with modern stacks like Next.js and Django.
Research
Deep diving into Deep Learning and Computer Vision focused on forgery detection.
AI Integration
Implementing RAG-powered systems and LLM solutions for interactive experiences.
Featured Projects
Exploring the boundaries of AI, Computer Vision, and Deep Learning through research-led development.
Compact AI Image Detection
Developed an ultra-lightweight 55K parameter CNN for CIFAKE detection, achieving 95%+ accuracy. Performance parity with models 100x larger.
Agentic AI Dashboard
Built an end-to-end GenAI dashboard with agentic capabilities and automated ETL pipelines for real-time business performance and data analytics.
Sepsis Risk Stratification
Research Publication: Implemented DRL (D3QN) for temporal ICU risk assessment. Accepted at International Conference REACS 2025.
Certifications & Achievements
Advance Course of Emerging Technologies
SAP and edunet
Learned emerging technologies like Machine Learning, IoT, Deep Learning, Computer Vision and SAP ABAP on BTP. Practical knowledge and implementation of various projects during 100 hours.
Fundamentals of Deep Learning
NVIDIA
Completed industry-recognized training covering core deep learning concepts including neural networks, CNNs, optimization techniques, and applications in computer vision and AI.
UGC-NET Qualified
Computer Science and Applications
Qualified National Eligibility Test (NET) for Assistant Professorship, demonstrating deep technical knowledge in CSE.
2024
GATE Qualified (DA)
Data Science and AI
Successfully qualified the Graduate Aptitude Test in Engineering in the Data Science and Artificial Intelligence paper.
2024
GATE Qualified (CS)
Computer Science and IT
Successfully qualified the Graduate Aptitude Test in Engineering in the Computer Science and Information Technology paper.
2024
About Me
I am a dedicated researcher and developer with a deep focus on Computer Vision and Deep Learning. My work often explores the intersection of security and AI, particularly in forgery detection and image analysis.
With a strong foundation in both theoretical research and practical implementation, I bridge the gap between complex algorithms and user-centric applications. Whether I'm fine-tuning a neural network or crafting a pixel-perfect frontend, I strive for excellence and innovation.