Abhin Krishna
Researcher | BCI & Neurotech | Deep Learning | Web Dev
Electronics & Biomedical Engineering student at MEC, Kochi. Exploring the intersection of human and artificial intelligence. Dedicated to advancing neural decoding, computational neuroscience, and AI-driven medical systems.
About Me
I am currently pursuing my B.Tech in Electronics and Biomedical Engineering at Govt. Model Engineering College, Thrikkakara (Sep 2024 to Present).
My core focus is on bridging the gap between neuroscience and AI. I aspire to publish impactful research in Brain-Computer Interfaces (BCI).
Driven by an entrepreneurial spirit, I am also actively exploring startup ideas and focused on building a strong foundation in engineering mathematics, physics, and computer science.
Technical Arsenal
AI & Neurotech
Languages & Hardware
Web Stack
Professional Experience
Conducted research in Machine Learning, NLP, and Large Language Models (LLMs) for open source AI initiatives. Collaborated on the optimization of deep neural networks and rigorous performance evaluation.
Mentored 100+ students in Linux fundamentals. Led technical logistics for "Code-A-Pookalam" and "DevSprint". Organized the "Build It Up" DBMS project deployment workshop (Supabase, React).
Scaled a digital educational platform into international markets including China, Russia, and Azerbaijan. Directed cross-functional teams to implement effective social media strategies.
Research & Projects
EEG-based Brain-Computer Interface
Deep LearningEngineered an end-to-end pipeline to classify 4-class motor imagery (hands/feet) using the EEGNet architecture. Achieved 40% accuracy using MNE-Python for ICA-based artifact removal. Confirmed critical "noise ceiling" limits in practical BCI research.
TinyML Object Detection
Edge AIDeployed a real-time detection system on an ESP32S3 Sense board. Optimized a quantized MobileNet V2 model using FOMO algorithm, reaching 7 FPS at 143ms latency for industrial sorting applications.
LipiPala AI
NLP / LLMsContributing to an open-source initiative dedicated to preserving and revitalizing endangered Indian languages. Combining NLP, speech recognition, and LLMs to create accessible linguistic tools.
Gemini Watermark Remover
Web AppA high-performance, 100% client-side tool for removing watermarks from images generated by Google Gemini AI. Built with pure Vanilla JavaScript, it uses a mathematically precise Reverse Alpha Blending algorithm to restore pixels with zero quality loss.
Honors & Highlights
- HPAIR 2025 Delegate: Selected for the Harvard Project for Asian and International Relations Conference.
- Brain Modeling Workshop: Completed systems modeling training at CNS Lab, IIT Madras (focusing on neural circuits).
- Ideathon Award: Presented "PhytoScan", an AI-driven fruit freshness detection device at Money Conclave.
- Language Proficiency: Goethe Zertifikat B1 in German (Score: 82).
Let's Connect
Interested in collaborating on BCI research, exploring startup ideas, or discussing the future of AI and neurotechnology? I'm always open to connecting.
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