OmniGate
Open on GitHub
Built OMNIGATE for multi-modal cancer subtype classification using mRNA, miRNA, CNV, and methylation data, with dynamic context gating, multi-objective optimization, and biomarker-focused explainability.
Temple Trail
The Grind
Workshop Room
Mumbai
Campus Mirror
Rishit Kar
emailrishitkar@gmail.com
About
I’m a computer engineering undergraduate at DJ Sanghvi College of Engineering, Mumbai University, interested in AI research, backend systems, FastAPI, Docker, and practical machine learning systems that can be deployed in real-world settings.
Through collaborations with IIT Patna and IIT Mandi, I’ve built hands-on experience in explainable medical AI, multimodal learning, and geometric deep learning for engineering systems, while strengthening my software engineering and CS fundamentals.
Projects
Clipper-dev
pypi.org/project/clipper-dev
Developer-focused CLI/TUI clipboard manager with persistent history, interactive search, restore workflows, and 2300+ downloads on PyPI.
Multi-Model Pneumonia Diagnosis
github.com/Rklearns/Chest-X-Ray-Detection
Deep learning ensemble for medical image classification using custom CNN, ResNet, and Graph Neural Networks on chest X-ray data.
Custom Reliable UDP Protocol
github.com/Rklearns/Custom-Protocol-Architecture
High-performance reliable transport protocol with sliding window flow control, retransmission, and SHA-256 checksums.
Research
CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic Systems
Pearl Mody, Mihir Panchal, Rishit Kar, Kiran Bhowmick, Ruhina Karani · ICLR 2026 MemAgents Workshop
OMNIGATE: Omics-Integrated Gating for Explainable Multi-Cancer Subtype Classification
Rishit Kar, Ved Ambulkar, Sargam Nagar, Varun Shenai, Ruhina Karani · Springer LNNS Proceedings
Talks
Big Data without the Big Headache: PySpark for Beginners
Cold Mailing for Research Internships and Profile Building
Experience
Indian Institute of Technology Patna
Multimodal ML (GNNs, temporal modeling) for chest X-ray disease prediction; emphasis on explainability for clinical use.
Indian Institute of Technology Mandi
CAIR Lab: geometric deep learning review, DGCNN on 3D propeller data, and feature work on complex geometries.
Education
Dwarkadas Jivanlal Sanghvi College of Engineering, Mumbai
Position of responsibility
Guiding students on research opportunities, running meetings to mentor peers in machine learning and AI research, and helping facilitate research collaborations within the college community.