Computer Science student building intelligent systems at the intersection of software, hardware, and research.
$ whoami
> Kumara_Gurubaran
$ cat current_role.txt
> Lead Research Intern @ Arqgene
> Computer Science Student
$ ls experience/
> arqgene_internship/
> smart_irrigation/
> face_recognition/
> blockchain_research/
$ cat research_interests.txt
> silicon_batteries
> scalable_blockchain
> human_in_the_loop_aiI am a Computer Science (CSE) student with strong interests in Artificial Intelligence, Machine Learning, Blockchain Systems, and Embedded IoT. Currently serving as a Lead Research Intern at Arqgene, focusing on innovative biotech solutions.
I actively work with Linux (Ubuntu), GPUs for ML training, ESP32-based embedded platforms, and large-scale data processing. My approach combines research rigor with practical implementation to solve real-world problems.
End-to-end solution design
Leading technical research initiatives
From theory to deployment
Research-driven implementations with real-world impact
End-to-end intelligent irrigation system using ESP32 sensors, machine learning prediction models, Firebase, and a real-time web dashboard.
Face recognition system enhanced with human feedback for improved accuracy under CCTV-like conditions (low-resolution, angles, lighting).
Research-oriented blockchain architecture grouping immutable logs by semantic similarity to improve scalability and privacy using Merkle DAGs and ZK concepts.
Intelligent retrieval system that answers natural language queries over large unstructured documents like policies and contracts.
Leading research initiatives at the intersection of technology and biotechnology
Leading research initiatives at Arqgene, a biotechnology company focused on innovative solutions in genomics and molecular biology. Driving projects that combine computational methods with biological research to develop novel approaches in genetic analysis and biotechnology applications.
Technologies and methodologies I work with
Academic and independent research initiatives
Open research initiative under Stablacaster exploring silicon anodes for higher energy density and sustainable battery technology.
Investigating novel blockchain structures that improve transaction throughput while maintaining security and decentralization principles.
Enhancing AI system reliability and fairness through strategic human feedback integration in training and inference pipelines.
Applying computational methods and machine learning to solve complex problems in genomics, proteomics, and molecular biology research.
Open to research collaborations and interesting projects
India • Remote
Lead Research Intern @ Arqgene