Hi, I'm Kiruthick
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CS Engineering student researching AI-powered systems, embedded/IoT hardware, and applied machine learning, backed by full-stack and blockchain development experience. Shipped a complete blockchain marketplace platform, built production REST APIs during an internship at ATPAR UI Technology, and now developing sensor-driven hardware and studying deep learning for marine ecosystem monitoring. Actively studying Japanese (JLPT N5, N4 in progress) and seeking research and engineering opportunities in Japan.
About Me
I'm Kiruthick, a Computer Science Engineering student at Chennai Institute of Technology with a research-driven focus on AI-powered systems, embedded/IoT hardware, and applied machine learning — backed by hands-on full-stack and blockchain development experience. I'm actively seeking research and engineering opportunities in Japan, studying Japanese (JLPT N5 cleared, N4 in progress) and drawn to cross-cultural, research-oriented teams.
I've shipped a complete blockchain-based marketplace platform (LancerScape) and built production REST API integrations during a full-stack internship at ATPAR UI Technology in Bangalore. I'm now developing sensor-driven hardware for energy-efficient climate control, researching AI-driven approaches to digital transformation through CIT's FinTech and IoT Centres of Excellence, and independently studying deep learning-based bioacoustic classification for marine ecosystem monitoring.
I believe in writing clean code, grounding research in real hardware and real data, and collaborating with teams that value curiosity as much as output. Always excited to learn, build, and take on new challenges.
React, Next.js, Node.js, FastAPI
ESP32, Raspberry Pi, MQTT, Sensors
ML classification, FFT, spectrograms
English, Tamil, Hindi, Japanese (JLPT N5)
Projects Built
Internship
Research Paper
Experience
Internship, research center memberships, and campus leadership roles that have shaped my path toward AI, embedded systems, and research engineering.
Member
IoT Centre of Excellence, CIT Chennai
Contributing to cross-team knowledge-sharing sessions on IoT protocols (MQTT, sensor networks) and industrial automation use cases. Assisting in prototyping and testing embedded hardware within the centre's lab environment.
Member
FinTech Center of Excellence, CIT Chennai
Participated in weekly discussions on emerging fintech trends, digital payments, and blockchain-based financial systems. Contributed research summaries and presentations on AI-driven financial technologies to 20+ peer members, and prototyped fintech use cases combining blockchain and data analytics.
Full Stack Developer Intern
ATPAR UI Technology Pvt. Ltd., Bangalore (Remote)
Built a hospital management module for appointment booking and role-based doctor schedule workflows, reducing scheduling conflicts by approx. 30% through validation logic. Integrated REST APIs documented via Swagger UI across 10+ endpoints, and collaborated with backend developers to cut reported booking-flow bugs by approx. 25% pre-release.
Event Organizer
Entrepreneurship Development Cell, CIT Chennai
Organized and led logistics for 5+ entrepreneurship-focused campus events, coordinating speaker outreach, scheduling, and on-ground execution. Managed registrations and participant engagement, growing average attendance by approx. 35% over the year.
B.E Computer Science
Chennai Institute of Technology, Chennai, Tamil Nadu
Want to know more about my journey? Get in touch
Projects
AI, embedded hardware, and blockchain projects I'm actively building — plus a live feed of what's on GitHub.
InsightWell — Consumer Complaint Analytics Platform
In DevelopmentBuilding an NLP pipeline over 10,000+ public consumer-complaint records, clustering root-cause themes into approx. 15 categories via BERTopic. Targeting approx. 80% sentiment-classification accuracy to auto-generate ranked, structured insight reports on an animated dashboard.
Multi-Sensor Marine Ecosystem Monitoring System
In DevelopmentArchitecting a Raspberry Pi platform fusing hydrophone acoustic data with environmental sensors (temperature, pH, turbidity, salinity) at approx. 1Hz sampling. Building an FFT-based signal pipeline targeting approx. 85% preliminary classification accuracy for ecosystem-anomaly flagging.
Thermal Vision-Based Intelligent Airflow Optimization
In DevelopmentDesigning an ESP32-based HVAC/AC control system using thermal imaging, achieving approx. 90% hotspot-detection accuracy. Building a lightweight ML model to forecast thermal drift, targeting approx. 25% lower simulated energy use versus static thermostat control.
LancerScape — Blockchain Freelancing Platform
ImplementedBuilt a decentralized freelancing platform with milestone-based escrow smart contracts, cutting simulated payment-dispute resolution time by approx. 40% versus manual arbitration. Integrated Wagmi/Ethers.js wallet connectivity, processing 100+ test-net transactions with zero fund-lock failures.
More on GitHub
Research
Independent research applying deep learning to real-world signal data.
Deep Learning-Based Bioacoustic Classification of Marine Hydrophone Recordings
- —Applying CNN/spectrogram-based deep learning to hydrophone recordings for marine species identification and anomaly detection.
- —Building a labeled spectrogram dataset from public hydrophone archives to train and validate species-classification models.
Skills
Languages, frameworks, and tools spanning full-stack development, applied AI, and embedded hardware.
Languages
Frameworks
AI & Data
Industrial IoT & Controls
Tools
Constantly learning and exploring new technologies across software, hardware, and research.
Get In Touch
Have a question or want to work together? I'd love to hear from you. Drop me a message and I'll get back to you as soon as possible.
Prefer to reach out directly? Send me an email