Intellect Design Arena
Software AI Intern
Jun 2026 – present
Agentic system design and software engineering.
Temple Trail
The Grind
Workshop Room
Mumbai
Campus Mirror
emailrishitkar@gmail.com
I’m a computer engineering undergraduate at DJ Sanghvi College of Engineering, Mumbai University, focused on software engineering grounded in first principles, 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. I also practice competitive programming and have solved more than 400 problems across Codeforces and LeetCode.
Software AI Intern
Jun 2026 – present
Agentic system design and software engineering.
AI Intern
Sept 2025 – Jan 2026
Multimodal ML (GNNs, temporal modeling) for chest X-ray disease prediction; emphasis on explainability for clinical use.
ML Intern
Jun – Jul 2025
CAIR Lab: geometric deep learning review, DGCNN on 3D propeller data, and feature work on complex geometries.
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.
pypi.org/project/clipper-dev
Developer-focused CLI/TUI clipboard manager with persistent history, interactive search, restore workflows, and 2300+ downloads on PyPI.
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.
github.com/Rklearns/Custom-Protocol-Architecture
High-performance reliable transport protocol with sliding window flow control, retransmission, and SHA-256 checksums.
Pearl Mody, Mihir Panchal, Rishit Kar, Kiran Bhowmick, Ruhina Karani · ICLR Memagents Workshop, 2026, Brazil · Status: Published
Rishit Kar, Ved Ambulkar, Sargam Nagar, Varun Shenai, Ruhina Karani · PCCDA Conference, South Korea · SCOPUS Indexed Springer LNNS Conference · Status: Accepted
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.