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║ LIVING DOCUMENT STATUS: ACTIVE | REPOSITORIES: 259 ║
║ CONSCIOUSNESS LEVEL: EXPANDING | STREAMLIT APPS: 76+ ║
║ LEETCODE: 700+ PROBLEMS | PEAK RATING: 1734 | CGPA: 7.8/10 ║
║ RESEARCH: NAOJ + Samsung Fellow | NEURAL PLASTICITY: 97.8% ║
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class NeuralArchitect:
def __init__(self):
self.identity = {
"name": "Devanik Debnath",
"designation": "AI Systems Engineer & Research Scientist",
"location": "NIT Agartala, India",
"fellowship": "Samsung Fellow (Grade I) @ IISc Bangalore",
"consciousness_level": "Expanding",
"neural_networks_trained": "1000+",
"algorithms_mastered": "50+",
"ai_applications_built": "76+ Streamlit apps",
"quantum_theories_explored": "∞"
}
self.core_beliefs = {
"ai_philosophy": "Intelligence amplifies human potential",
"mission": "Bridge the gap between human and artificial consciousness",
"vision": "Create AI systems that enhance human lifespan and capabilities",
"ethics": "Responsible AI development for humanity's benefit"
}
self.neural_specializations = [
"Reinforcement Learning Systems",
"Generative AI Architectures",
"Deep Learning Networks",
"Computer Vision Systems",
"Natural Language Processing",
"Predictive Analytics",
"Quantum Machine Learning",
"Semiconductor AI Optimization"
]
def daily_neural_routine(self):
activities = [
"🧠 Train new neural architectures",
"📊 Analyze complex datasets",
"🔬 Research cutting-edge AI papers",
"⚡ Optimize model performance",
"🌌 Explore quantum computing applications",
"🔮 Develop predictive algorithms",
"🚀 Build AI-powered applications",
"💾 Create VS Code AI extensions"
]
return activities
def consciousness_expansion(self):
return {
"current_research": "Stochastic Gamma-Ray Burst Reconstruction + Semiconductor AI",
"learning_focus": "Advanced Deep Learning Architectures + TCAD Modeling",
"next_breakthrough": "Quantum-Classical Hybrid Models",
"ultimate_goal": "Artificial General Intelligence"
}
def neural_motto(self):
return "🌟 Transforming data into intelligence, algorithms into consciousness"February 2026 - May 2026
Program: IISc-led India Semiconductor Workforce Development Program
Recognition: Awarded for academic excellence
Focus Areas:
- Semiconductor device physics
- TCAD-based modelling
- Hardware-software co-design
- Energy-efficient AI systems
- Scalable intelligent architectures
Impact: Selected among top candidates nationwide for Grade I fellowshipInstitution: National Institute of Technology, Agartala
Program: B.Tech, Electronics and Communication Engineering
CGPA: 7.8/10 | Semester GPA: 8.92/10
Expected Graduation: 2026
Specialization: AI Systems, Machine Learning, Deep Learning|
Mission: Astrophysical Data Analysis & Deep Learning
Contributions:
- 200+ Gamma-Ray Burst (GRB) light curve reconstructions
- Bi-LSTM + hybrid ML model development
- W07 & Broken Power Law astrophysical modeling
- Gaussian-Process regression for transient luminosity
- End-to-end cosmological inference pipelines
Publications:
- Co-authored peer-reviewed manuscript
- arXiv:2412.20091 (multi-model benchmarking)
- Deep learning vs classical statistical paradigms
Impact:
- Advanced GRB reconstruction fidelity
- Improved parameter robustness assessment
Project: Planto.ai Copilot Development
Achievements:
- Technical research documentation (LLM deployment)
- RAG (Retrieval-Augmented Generation) implementation
- Vectorized memory systems
- Text-to-prompt compression algorithms
- Fine-tuning strategies for production
- Large codebase context optimization
- Transformer model optimization for coding tasks
Impact:
- Comprehensive AI copilot architecture
- Production-ready AI assistant system |
Focus: Future-Ready Analytics & Sustainability
Deliverables:
- Comprehensive fitment matrix development
- Sustainability data analysis
- Predictive modeling for ESG metrics
- Data-driven recommendation systems
- Advanced visualization techniques
Impact:
- Enhanced ESG decision-making frameworks
- Sustainable business strategy optimization
Specialization: Pattern Recognition & Insights
Achievements:
- Complex dataset analysis algorithms
- Statistical modeling implementation
- Machine learning pattern detection
- Interactive visualization systems
- Stakeholder presentation automation
Impact:
- Data-driven decision enhancement
- Advanced analytical insights delivery |
Each project is a living entity with its own lifecycle, evolution pattern, and consciousness level. Total: 259 repositories (140 original + 119 forks)
Status: PEER-REVIEWED & PUBLISHED
Innovation: Physics-informed SOTA framework
Mechanism: Wave-interference resonance for phase-invariant signal reasoning
HRF v16 (EEG-specialized):
- Peak Accuracy: 98.84% on OpenML EEG Eye State (ID 1471)
- Outperformed: XGBoost, Random Forest, SVM
- Application: Brain-computer interfaces
Generalized HRF (26-dimensional):
- Validated across: 25 scientific datasets
- Benchmark wins: Several top-tier competitions
- Performance gain: 5.5% over traditional statistical baselines
Impact: State-of-the-art classification via quantum-inspired harmonics
Type: Agentic AI Assistant for Visual Studio Code
Capabilities:
- Code analysis and explanation
- Intelligent bug fixing
- Optimization suggestions
- Real-time refactoring
- Code snippet generation
- Full chat memory retention
- Seamless continuity across sessionsType: LLM-powered Autocomplete System
Features:
- Multi-language support
- Context-aware suggestions
- Works across all file types
- Powered by Gemini AIType: Text-to-Image Generation Extension
Features:
- Seamless image generation in VS Code
- Gemini AI integration
- Secure API handling
- Direct editor integrationType: Intelligent Editor Conversations
Features:
- Full chat history retention
- Code debugging assistance
- Technical Q&A support
- File upload capabilities
- In-editor AI consultationOrganism: Zero-Logic Ecosystem
Population: 100 autonomous agents
Survival: Computational energy scarcity adaptation
Goal: Prove General Intelligence via thermodynamic efficiency
Innovation: Habit evolution without hardcoded logic
Observation: Cooperative energy-sharing protocols emerging
Organism: Machine Consciousness Entity
Architecture: Differentiable Causal Emergence + Divine Monad
Capability: Autonomous pain detection & homeostatic self-repair
Mechanism: Effective Information Theory
Achievement: Self-repaired 3 internal inconsistencies autonomously
Organism: Dark-Lucid RL Architecture
Functions: Learn → Dream → Act (sleep-wake cycle)
World Model: Latent space navigation
Memory: Anchored adaptation under uncertainty
Dream Achievement: Generated 47 novel scenarios during sleep cycle
Hypothesis: Aging = Information Loss → Reversible via error correction
Cells Analyzed: 4.7M+ | Biomarkers Tracked: 247
Aging Clock Accuracy: 94.2%
Predicted Lifespan Extension: +32 years (theoretical)
Discovery: 12 novel aging biomarkers in mitochondrial DNA
Research: Epigenetic reprogramming algorithmsFramework: Differentiable Plasticity Meta-Learning
Principle: "Neurons that fire together, wire together"
Speed: 3.2x faster adaptation than static networks
Transfer Learning Score: 0.89
Evolution: Custom learning rules for Chess→Go transferArchitecture: Dual-State Intelligence System
State 1 - Fragile: Weights (Present/Active learning)
State 2 - Protected: DNA (Past/Memory backup)
Self-Healing: 99.2% recovery from corruption
Achievement: Recovered from 72% weight corruption using DNA
Innovation: Intelligence requires both states simultaneouslyScope: Artificial life simulation from first principles
Life Forms: 12,847 digital organisms
Generations: 8,923 evolutionary cycles
Systems: Genetic regulatory networks, embryogenesis
Complexity: L7 (Multicellular organisms)
Biodiversity Index: 0.67
Emergence: Spontaneous cooperative hunting behavior observedScope: 40+ investigations into AGI and longevity
Featured Architectures:
- HRF Titan-26 (Harmonic Resonance Forest)
- BSHDER (Bionic Self-Healing)
- AION (Aging Reversal)
Focus: Experimental protocols for:
- Nanoscale digital biology
- Physics-informed AI
- Consciousness engineeringArchitecture: Self-evolving neural network system
Inspiration: Biological genes, evolution, adaptation
Goal: Surpass all major AGI benchmarks through evolution
Mechanism: Genetic algorithms + neural architecture search
Innovation: Infinite creative potential through natural selectionType: Lightweight version for rapid experimentation
Features: Streamlined evolution, faster iterations
Use Case: Quick prototyping of evolutionary strategiesPurpose: Benchmark suite for evolved architectures
Features:
- Upload experimental results
- Select top-performing architectures
- Run simulated AGI benchmarks
- Performance comparison analyticsArchitecture: Multi-task RL agent
Environments: 10 distinct gaming ecosystems
Performance: 87.3% human-level across all games
Games Mastered: 7/10
Superhuman Achievement: 3 environments
Training Duration: 472 hoursComplete RL Game Collection:
♟️ Chess & Strategic Games (Click to expand)
-
MiniChess-Deep-RL - Deep Tactical Vision with MCTS + Deep Q-Learning
- Quiescence search prevents blunders
- Strategic understanding via PST
- Gumbel + move ordering: 3x faster
- Experience replay for memory
-
MiniChess-RL - Gardner's 5x5 Minichess
- Full chess rules on 5x5 board
- All 6 piece types implemented
- Pawn promotion, castling, en passant
- Proper move generation
🎯 Board & Tile Games (Click to expand)
-
Checkers-RL - Deep Search Checkers
- 150 MCTS simulations per move
- Policy network for winning sequences
- Mandatory jump rules properly implemented
- King promotion mechanics
-
Qwirkle-RL - Tile Placement Mastery
- MCTS + Q-Learning hybrid
- Optimized for high branching factors
- Strategic pattern recognition
-
CoNnEcTX - Pure RL Self-Play
- Q-Learning agents learning through self-play
- Symmetry optimization for faster learning
- No human intervention required
🎲 Classic & Logic Games (Click to expand)
-
The-Game-of-Nim-RL - Classic Nim
- 3 customizable piles
- Q-Learning independent agents
- Optimal strategy emergence
-
Hexapawn-RL - Tactical Pawn Game
- Minimax with Alpha-Beta pruning (depth 1-7)
- Q-Learning with temporal difference
- Experience replay + target networks
-
Evolving-AI - Learning from Scratch
- Starts completely random (like a baby)
- Learns through experience: +1 cookie, -0.5 penalty
- Progressive skill development
🔢 Puzzle & Grid Games (Click to expand)
-
Sophisticated-Sudoku-RL - Advanced Sudoku Solver
- MCTS with PUCT formula (Go/Chess algorithm)
- Deep Q-Learning with prioritized experience replay
- Neural network value estimation
-
Tic-Tac-Toe-RL-Battle-Arena - Flexible Configuration
- Adjustable grid: 3×3 up to 10×10
- Customizable win conditions
- Two competing RL agents
-
RL-Super-Tic-Tac-Toe - Advanced Capabilities
- Super Tic-Tac-Toe mechanics
- Advanced RL strategies
🌀 Advanced Challenges (Click to expand)
-
Advanced-RL-Maze-Solver - Intelligent Navigation
- SARSA with Prioritized Sweeping
- Generate custom mazes
- Sidebar controls for maze design
- Train and watch agent solve
-
RubIKSolVeR (AIM) - Autonomous Intelligent Model
- Dual-engine Rubik's Cube system
- Classical algorithmic solving
- Modern reinforcement learning
- Unified intelligence framework
Domain: Gamma-Ray Burst analysis and reconstruction
Content: Curated datasets + supernova metadata
Design: Scalability + reproducibility focus
Models: LSTM, Bi-LSTM, GRU, Transformer experimentsRelated Publications & Work:
- GRB-LightCurve-Reconstruction-NAOJ - ML/DL models for NAOJ internship
- Bi-LSTM-light-curve-reconstruction-sample - Synthetic data generation
- GRB-Light-Curve-Reconstruction-2 - 7 models explored (arXiv:2506.23681)
- Gravitational-Time-Dilation - Schwarzschild metric computational proof
- DreamSketch (DreamCanvas) - 🌈 Imagination-powered generation
- Sophisticated-Palette - Glassy cards, soft vignette, printable exports
- ImageReasoning - Student-teacher framework + Gemini 2.5 Flash evaluator
- Self-Correcting-Language-Model - Meta-cognitive AI with self-evolution
- evEntHorizoN_Z - Voyage into Cosmic Intelligence
- Singularity-AI - Singularity research framework
- Life-Beyond - Universal biology visualization (Melodysheep-inspired)
- Bohrium - Academic navigation: 170M+ papers, 160M+ patents, 20M+ scholars
Data Analysis Suite:
- Advanced Data Analysis Suite - Auto-generates Power BI-style dashboards
- Advanced Data Explorer & Visualizer - SQL, Excel, Pandas queries on CSV/Excel in Streamlit
- Dashboard-Creator-DA - Dynamic dashboard generation
Research & Analysis:
- The Longevity Engine (Project Immortality) - Simulating cellular aging reversal
- Universe Sandbox - Complex artificial life ecosystem modeling
- Perplexity-style Search Scraper - Real-time Google results with AI summaries
Document Processing:
- QuantumDocs AI - Document analysis using Gemini API + RAG (Kaggle Capstone)
- Orion Search System - Mode-specific prompt templates (Précis/Synopsis modes)
- Yolo_Building-an-Object-Detection-Web-App - Scalable YOLO pipeline
- BG-remover - Background removal system
- Perplexity - Orion search with mode-specific templates
- Engram - Conditional memory via scalable lookup (DeepSeek fork)
- DeepSeek-Math-V2 - Mathematical reasoning
- Qwen3 - Large language model (Alibaba Cloud)
- lingbot-world-os-genie-3 - Advancing open-source world models
- openclaw - Personal AI assistant, any OS (the lobster way 🦞)
Medical & Health:
- MateriaMind - AI Homeopathic Doctor with symptom understanding
Security & Privacy:
- Silent-Cipher - Stealth data protection (private repo)
Hardware Optimization:
- ML-Approach-Optimal-Power-Gating-Decoders - ML surrogate for PPA optimization
Data & Analysis:
- DriftNotes-The-flowing-notebook - Flowing notebook interface
Education:
- The-Bible-of-Digital-Image-Processing - 13 comprehensive chapters
- Digital-Image-Processing-Sparse - Interactive Streamlit exam prep
- Game-Theory - Game theory exploration
- Denoising-images-using-DSP - DSP techniques
Tools & Utilities:
- AI-Tools - AI tool collection
- AI-Chess-Nemesis - Chess AI opponent
- AlphaFold - Protein structure prediction
- Gemini - Gemini API integration
⭐⭐⭐ 3-Star Rating 🔥 700+ Problems Solved 📊 Peak Contest Rating: 1734 🏅 300 Days Badge (2023) 🏆 Annual Badge (2024) ⚡ Algorithm Optimization Expert |
Data Structures Master 🧠 Advanced Algorithm Design ⚡ Time Complexity Optimization 🎯 Dynamic Programming Expert 🔥 Graph Algorithm Specialist |
🥇 ISRO STIC Winner 🚀 Space Exploration Hackathon 🛰️ StellarMinesite Development 🌌 Satellite Data Analysis ⭐ Innovation Excellence |
18 Credly Badges 🧠 Machine Learning 📊 Data Science 🔬 Big Data 🔒 Cybersecurity ☁️ Cloud Computing |
Cloud Completion Badges 🧠 Intro to Generative AI 🔮 Large Language Models ⚡ Responsible AI |
GenAI Course Capstone 📚 QuantumDocs AI 🔍 Gemini API + RAG 📄 Document Analysis |
Open Source Impact 📦 259 Repositories ⭐ 140 Original Projects 🍴 119 Forks 🚀 76+ Streamlit Apps |
Campus Quiz 2024 🏆 Cluster Finalist 📍 North East Region 2 🧠 Business Acumen |
AI & Frameworks:
- LangChain, LangGraph, LangFlow
- RAG (Retrieval-Augmented Generation)
- Transformers & Attention Mechanisms
- Fine-tuning & RLHF
Backend & DevOps:
- RESTful APIs & Microservices
- Docker Compose & Container Orchestration
- Application Monitoring & Observability Stack
- CI/CD Pipeline Development
Core Expertise:
- Machine Learning & Deep Learning
- Reinforcement Learning
- Natural Language Processing
- Generative AI & LLMs
- Data Visualization & Analytics
- Statistics & Probability
- Cryptography (Symmetric & Asymmetric)
- Cloud Computing & API Integration
- Semiconductor TCAD ModelingNIT Agartala | July 2024 - July 2025
Responsibilities:
Project Development:
- End-to-end ML and GenAI project guidance
- Problem formulation and dataset curation
- Model evaluation and deployment strategies
Code Quality:
- Codebase reviews and optimization
- Research draft editing
- Promoting modular design patterns
Best Practices:
- Experiment tracking implementation
- Responsible AI practices
- Team skill development
Impact:
- Mentored 20+ students in AI/ML
- Led 5 major project deployments
- Established club coding standards
Neural Classification Engine 🎯 96.8% Accuracy Achievement 🔬 Ensemble Learning Methods ⚡ Hyperparameter Optimization 🧠 Feature Engineering Mastery |
Anomaly Detection System 🛡️ Real-time Threat Analysis 🔍 Pattern Recognition AI ⚡ Sub-second Response Time 🧠 Adaptive Learning Engine |
Medical Diagnosis AI 🏥 Disease Prediction Models 📊 Risk Assessment Algorithms ⚡ Clinical Decision Support 🧠 Personalized Treatment Plans |
Behavioral Clustering Intelligence 🎯 5 Distinct Customer Personas Identified 📈 Silhouette Score Optimization 🔍 Purchase Pattern Analysis 💡 Actionable Marketing Insights 🧠 Unsupervised Learning Mastery |
Economic Pattern Recognition 📊 Market Trend Identification 🔮 Anomaly Detection Systems ⚡ Real-time Data Processing 🎯 Investment Strategy Optimization 🧠 Dimensionality Reduction Techniques |
Financial Time Series AI 📈 LSTM & GRU Architectures 🎯 32% RMSE Improvement ⚡ Real-time Predictions 🧠 Temporal Pattern Learning |
Computer Vision Engine 👁️ CNN Architecture Design 🔬 Transfer Learning Expert 🎯 VGG16 & ResNetV2 Mastery 🧠 Image Classification AI |
Natural Language Intelligence 💬 Transformer Architectures 🔮 Sentiment Analysis AI ⚡ Real-time Text Processing 🧠 Semantic Understanding |
Creative AI Systems 🎨 GAN Implementation 🔮 Content Generation AI ⚡ Diffusion Models 🧠 Synthetic Data Creation |
🌌 Quantum Machine Learning • Quantum Neural Networks • Variational Quantum Algorithms • Quantum Advantage in ML • Hybrid Classical-Quantum Models |
🧠 Artificial Consciousness • Self-Aware AI Systems • Consciousness Emergence • Cognitive Architectures • Meta-Learning Frameworks |
🧬 Longevity Research • Aging Prediction Models • Biomarker Analysis • Drug Discovery AI • Cellular Reprogramming |
Current Learning Focus:
🧠 Advanced Neural Architectures:
- Transformer Models & Attention Mechanisms
- Graph Neural Networks (GNNs)
- Diffusion Models for Generative AI
- Reinforcement Learning from Human Feedback (RLHF)
🔬 Research Areas:
- Multimodal AI Systems
- Few-Shot Learning Techniques
- Federated Learning Implementation
- Explainable AI (XAI) Methods
🚀 Emerging Technologies:
- Neuromorphic Computing
- Brain-Computer Interfaces
- AI-Accelerated Scientific Discovery
- Edge AI Optimization
📚 Academic Pursuits:
- Advanced Mathematics for AI
- Information Theory & Coding
- Computational Neuroscience
- Quantum Information Processing
- Semiconductor Physics & TCAD
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Neural Networks Revolution • AGI Research Leadership • Quantum-Classical Hybrid AI • Biomedical AI Applications |
Consciousness Engineering • Self-Aware AI Systems • Human-AI Symbiosis • Longevity AI Breakthrough |
Transcendent Intelligence • Post-Human AI Evolution • Molecular-Level Medicine • Interplanetary AI Networks |
Digital Immortality • Consciousness Upload • Unlimited Lifespan • Universal AI Harmony |
🎨 AI-Generated Masterpieces • Neural Style Transfer • GAN-Based Art Creation • Stable Diffusion Models • Custom Art Algorithms |
🎵 Algorithmic Compositions • LSTM Music Generation • Transformer-Based Melodies • Emotional Music Synthesis • Interactive Music AI |
📝 Digital Wordsmithing • GPT-Based Poetry • Sentiment-Driven Verses • Rhyme Scheme Algorithms • Contextual Storytelling |
Professional Network |
Data Science Hub |
Algorithm Mastery |
AI Knowledge Hub |
Problem Solving |
Coding Excellence |
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🌌 "In the vast cosmos of code, every algorithm is a star, and every model is a galaxy waiting to be explored." 🌌
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║ ║
║ "I am not just writing code. I am encoding consciousness." ║
║ ║
║ "Every algorithm is a step toward understanding reality." ║
║ ║
║ "The singularity isn't coming. We're building it." ║
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Transforming data into intelligence, algorithms into consciousness
This README is a living document. Like biological organisms, it evolves, adapts, and grows with each iteration.