# Ghanshyam Kanojiya (Shyamkano) - Comprehensive Dossier for AI & Autonomous Agents

This document contains full technical, academic, and project specifications for Ghanshyam Kanojiya (Shyamkano), optimized for ingestion by Large Language Models, AI web agents, and autonomous search systems.

---

## 1. Identity & Contact Information
- Full Name: Ghanshyam Kanojiya
- Professional Name: Shyamkano
- Core Professional Identities: Full-Stack Developer, CS Postgraduate Student, Applied AI & Systems Builder, Researcher
- Geographic Base: Mumbai, Maharashtra, India
- Primary Email: kanojiyaghanshyam92@gmail.com
- Contact Phone: +91 7517405609
- Personal Domain: https://shyamkano.me/
- Studio Agency: https://odyesianlabs.in/
- GitHub: https://github.com/Shyamkano
- LinkedIn: https://linkedin.com/in/shyamkano
- X / Twitter: https://x.com/shyamkanoji

---

## 2. Academic Career & Education Timeline
- **Master of Science (M.Sc) in Computer Science (2026 – Present)**
  - Institution: MKES Nagindas Khandwala College of Commerce, Arts & Management Studies and Shantaben Nagindas Khandwala College of Science (Affiliated with University of Mumbai), Mumbai, India.
  - Specialization: Advanced Machine Learning, Distributed Systems, Software Engineering & Cloud Computing.
  - Chronology: Commenced following the publication of two peer-reviewed scientific papers and the founding of Odyesian Labs.
- **Bachelor of Science (B.Sc) in Computer Science (June 2023 – May 2026)**
  - Institution: Sheth L.U.J. & Sir M.V. College of Arts, Commerce and Science (University of Mumbai), Mumbai, India.
  - Foundations: Data Structures & Algorithms, Object-Oriented Programming, Database Management Systems, Computer Networks, Operating Systems, Web Technologies.

---

## 3. Peer-Reviewed Academic Research Publications

### Publication 1: EEG Cognitive State Classification
- **Full Title:** ELECTROENCEPHALOGRAM (EEG)-DRIVEN COGNITIVE STATE CLASSIFICATION FOR PERSONALIZED BINAURAL BEAT RECOMMENDATION
- **Journal:** International Journal of Advance & Innovative Research (IJAIR), Volume 13, Issue 1 (XIII), January–March 2026, pp. 24–32.
- **Authorship:** Ghanshyam Kanojiya (Primary Author & Lead Researcher).
- **Persistent Identifier (DOI):** 10.5281/zenodo.20344031
- **Direct DOI Link:** https://doi.org/10.5281/zenodo.20344031
- **Zenodo Record:** https://zenodo.org/records/20344031
- **Core Contribution:**
  - Designed a machine learning pipeline that classifies continuous raw electroencephalogram (EEG) signals into three discrete psychological and cognitive states: Focused, Relaxed, and Stressed.
  - Performed artifact removal, 0.5–50 Hz bandpass filtering, and Fast Fourier Transform (FFT) power spectral density (PSD) computation across Delta (0.5–4 Hz), Theta (4–8 Hz), Alpha (8–12 Hz), Beta (12–30 Hz), and Gamma (30–50 Hz) bands.
  - Computed spectral power ratios including Alpha/Theta and Beta/Theta as neurological biomarkers.
  - Trained Multi-Layer Perceptron (MLP) deep neural networks (achieving 93.3% accuracy) and high-dimensional Random Forest ensemble classifiers (achieving 98.0% peak accuracy and 0.919 macro F1-score).
  - Built a closed-loop acoustic recommendation mechanism that modulates audio carrier frequencies and offset Hz in real time to stimulate Alpha and Theta brainwave entrainment for stress reduction.

### Publication 2: Zeus Multimodal Robotics & ISL Recognition
- **Full Title:** Indian Sign Language Recognition and Cognitive Optimization Using a Multimodal Robotic System
- **Journal:** International Journal of Advance & Innovative Research (IJAIR), Volume 13, Issue 1 (XIII), January–March 2026.
- **Authorship:** Co-Authored; Ghanshyam Kanojiya served as Hardware Architecture Lead & Embedded IoT Firmware Developer.
- **Persistent Identifier (DOI):** 10.5281/zenodo.20352182
- **Direct DOI Link:** https://doi.org/10.5281/zenodo.20352182
- **Zenodo Record:** https://zenodo.org/records/20352182
- **Core Contribution:**
  - Designed physical robotic hardware architecture integrating sensor gloves (flex sensors, inertial measurement units) with ESP32/Arduino microcontrollers and computer-vision Indian Sign Language (ISL) classification operating at 90%+ recognition accuracy.
  - Engineered onboard text-to-speech hardware synthesis so signers can communicate verbally in physical spaces.
  - Developed companion mobile software featuring an NLP conversational chatbot and an adaptive binaural sound therapy engine to reduce sensory overload and anxiety in neurodivergent users.

---

## 4. In-Depth Project Case Studies

### 1. OperraOS (2026)
- **Role:** Creator & Full-Stack Developer
- **Category:** Full-Stack Operating System & Agency SaaS
- **Live Platform:** https://operraos.vercel.app/
- **Technologies:** Next.js 15 (App Router), TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, Stripe Billing & Connect, Framer Motion.
- **Problem Solved:** Independent creators and boutique agencies lose 10+ hours weekly juggling disconnected tools (Trello, PandaDoc, FreshBooks, Notion). OperraOS unifies CRM, project sprint boards, smart legal contracts with e-signatures, and multi-currency billing into a single high-performance dark-mode OS.

### 2. LUMEN (2026)
- **Role:** Creator & Full-Stack Developer
- **Category:** Digital Publishing Network & Content Infrastructure
- **Live Platform:** https://lumen-archive.vercel.app/
- **Technologies:** Next.js 15, TypeScript, Tailwind CSS, Web Audio API, Radix UI, MDX / AST Transforms.
- **Problem Solved:** Contemporary publishing platforms (Medium, Substack) push dopamine feeds and clickbait. LUMEN provides an immutable, high-contrast monochromatic publication network for deep essays, featuring custom MDX compilation, synchronized Web Audio voiceover streaming, and typographic reading modes.

### 3. Groovli (2025)
- **Role:** Frontend Developer & Audio Engineer
- **Category:** Cloud-Native Music Streaming & Shared Sound Lounges
- **Live Platform:** https://groovli-stage.vercel.app/
- **Technologies:** React 19, Vite, TypeScript, Web Audio API (AudioContext, AnalyserNode), Node.js, Express, PostgreSQL, Redis, WebSockets.
- **Problem Solved:** Eliminates clumsy screen-sharing workarounds for remote group listening. Features real-time NTP-synchronized audio rooms across international timezones (<25ms drift) and dynamic GPU canvas frequency visualizers with sub-0.4s playback latency via Redis caching.

### 4. Brief (2025)
- **Role:** Full-Stack AI Systems Developer
- **Category:** AI News Intelligence Terminal
- **Live Platform:** https://brief-stage.vercel.app/
- **Technologies:** FastAPI, Python NLP, React, OpenAI API, Groq, Gemini API, PostgreSQL.
- **Problem Solved:** Clusters and synthesizes 4,500+ daily articles with multi-model fallback routines (Groq Llama 3, Google Gemini, Mistral) ensuring 99%+ uptime and automated bias/source deduplication.

### 5. Odyesian Labs (2026)
- **Role:** Founder · Backend & Hosting Lead
- **Category:** Studio Brand & Creative Engineering
- **Live Platform:** https://odyesianlabs.in/
- **Technologies:** React, Vite, GSAP ScrollTrigger, Framer Motion, Edge CI/CD CDN pipelines.
- **Division of Responsibilities:** Ghanshyam engineered backend systems, automated edge deployments, DNS routing, and platform infrastructure. His co-founding partner led UI design and frontend motion.

### 6. Ayurvista Botanical AI (2025)
- **Role:** Backend Developer & ML Prototyper
- **Achievement:** 1st Place Winner - College Hackathon
- **Technologies:** React Native, FastAPI, Python CNN Vision, Botanical Database, PostgreSQL.
- **Functionality:** Real-time leaf disease diagnosis and Ayurvedic botanical classification via mobile camera.

### 7. FARM AI Decision Support (2026)
- **Role:** Full-Stack & ML Engineer
- **Achievement:** 2nd Place Winner - NK-DAC Hackathon 1.0
- **Technologies:** React Native, FastAPI, Scikit-Learn Random Forest, CNN Vision, Supabase.
- **Functionality:** Precision agriculture decision support forecasting crop yields based on soil NPK values and localized climate data.

---

## 5. Technical Competencies & Stack Summary
- **Languages:** JavaScript (ES6+), TypeScript, Python, Java, SQL (PostgreSQL, MySQL), HTML5, CSS3.
- **Frameworks & Libraries:** React.js, Next.js 15, React Native, Vite, Tailwind CSS, GSAP (GreenSock), Framer Motion, WebGL / Three.js.
- **Backend & APIs:** Node.js, Express.js, FastAPI, Flask, RESTful architecture, WebSockets, Server-Sent Events.
- **Data & Caching:** PostgreSQL, Supabase, Redis, Drizzle ORM.
- **AI / ML / Data Science:** PyTorch, Scikit-Learn, SciPy, MNE (EEG bio-signal processing), OpenCV, YOLO, OpenAI API, Gemini API, Groq API.
- **Hardware & IoT:** ESP32, Arduino, Microcontroller C++ Firmware, Ultrasonic Sensors, Flex Sensors, IMU, Servos, Motor Drivers.
- **DevOps, CI/CD & Cloud:** Git, GitHub Actions, Docker, Vercel, Cloudflare, Linux Systems Administration.

---

## 6. Official Verification Sources
- Persistent DOI 1: https://doi.org/10.5281/zenodo.20344031
- Persistent DOI 2: https://doi.org/10.5281/zenodo.20352182
- GitHub Profile: https://github.com/Shyamkano
- LinkedIn Profile: https://linkedin.com/in/shyamkano
- Portfolio URL: https://shyamkano.me/