debnil = {
"name": "Debnil Dey",
"role": "AI Engineer & Systems Builder π€",
"location": "π Kolkata, West Bengal, India",
"specializations": [
"Autonomous Multi-Agent Systems (ADK, MARL)",
"Real-Time Computer Vision & TensorRT/CUDA",
"Production MLOps & Real-Time Drift Engineering",
"Multimodal GenAI & Model Context Protocol (MCP)",
"3D WebGL & Spatial Digital Twins",
],
"current_stack": ["PyTorch", "FastAPI", "Next.js", "Gemini 2.5/3.5 Flash", "Three.js", "Docker"],
"fun_fact": "Built real-time AR gesture engines with CUDA & WebGL GLSL shaders β‘",
}- π Passionate about engineering scalable, production-grade AI systems combining deep learning, real-time spatial computing, and agentic workflows.
- π Multi-Agent Systems & MARL: Built real-time 50Hz sports digital twins with PyTorch MARL gRPC inference and supply chain RL optimizers yielding 36% cost savings.
- ποΈ Computer Vision & AR: Developed TensorRT FP16 / CUDA accelerated gesture engines (Sanctum) & ONNX spatial perception pipelines with Grad-CAM SHAP explainability (ChronoSpatial Engine).
- π‘οΈ MLOps & Observability: Engineered multi-statistic real-time drift detection (PSI, KS-Test, EWMA, STL decomposition) in Sentinel and autonomous self-healing agent swarms with Google ADK in Aegis.
- π¬ Ask me about Multi-Agent Systems Β· Computer Vision & CUDA Β· MLOps Β· WebGL Β· GenAI
Distributed Multi-Agent Tactical Synthesizer & 3D Digital Twin for FIFA World Cup 2026
| Metric | Result |
|---|---|
| β‘ Stream Frequency | 50Hz Player Kinetics / 500Hz Ball Physics |
| π€ Policy Engine | PyTorch MARL over gRPC (Port 50051) |
| π Analytics | Convex Hull, Passing Lane Probability, Spatial Kinematics |
| π₯οΈ Visualizer | Next.js 14 + React Three Fiber 3D Spatial Canvas |
Multi-Agent Self-Healing Infrastructure & Incident Remediation Platform
- π€ 4 Cooperating AI Agents built on Google Agent Development Kit (ADK) powered by Gemini 2.5 Flash:
- π‘οΈ Sentry: Telemetry baseline deviation & anomaly tracking.
- π Sleuth: Multi-service log correlation & ChromaDB vector memory retrieval.
- π Medic: Risk-tiered remediation proposal with human-in-the-loop approval gates.
- βοΈ Scribe: Automated markdown postmortem document generation.
- π§ͺ Failure Injection Simulator: Real-time chaos engineering harness for model drift, GPU memory leaks, and pipeline bottlenecks.
Low-Latency Real-Time AR VFX Engine accelerated with PyTorch, TensorRT FP16 & CUDA
- π€² MediaPipe Hand Tracking
$\rightarrow$ Scale-invariant 21-point wrist-relative normalization$\rightarrow$ 30x63 sliding window tensor. - β‘ GPU Acceleration: PyTorch 1D-CNN compiled into TensorRT FP16 engines & custom CUDA particle physics kernels.
- π¨ GLSL Shaders: Multi-octave Fractal Brownian Motion (FBM) portal shaders & screen-space optical flow reality warping in Three.js.
Real-Time Perception, Object Tracking & Explainable Spatial-Temporal Risk Assessment
- π― Object Perception: YOLOv8 / MobileNetV3 backbone paired with perspective velocity and distance estimation algorithms.
- β‘ Quantized Inference Engine: MobileNetV3 128-d spatial embeddings fused with 15-d track motion vectors into ONNX Runtime quantized ANN.
- π¬ Auditable Explainability: Integrated Grad-CAM spatial heatmaps and Integrated Gradients SHAP temporal attributions.
Browser-Native AR Hand Tracking & Electromagnetic Physics Simulation
- π€² Dual-hand 21-landmark tracking via MediaPipe Vision WASM (GPU accelerated).
- π§² Gesture EM Force Model: FIST (100% pull force), PINCH (35% precision force), OPEN (gravity release).
- β‘ WebGL 2.0 shaders, 200-particle systems, Cannon-es physics, live spatial geometry theorems.
Real-Time Data Drift Engine, Probability Calibration & Explainability Stack
| Feature Component | Implementation |
|---|---|
| π Drift Detection | Population Stability Index (PSI), Kolmogorov-Smirnov (KS), Confidence-Weighted PSI |
| β±οΈ Thresholding | Adaptive EWMA Control Limits & Time-Series STL Decomposition |
| π Calibration | Brier Score, Calibration Curves & ROC-AUC Threshold Optimization |
| π‘οΈ Infrastructure | FastAPI, React/TS, PostgreSQL, Celery/Redis, Prometheus & Grafana |
Clinical Decision Support System with SHAP & UMAP Explainability
| Model | Recall | Precision | AUC |
|---|---|---|---|
| β XGBoost (Primary) | 91% | 84% | 0.92 |
| Random Forest | 87% | 81% | 0.89 |
| Logistic Regression | 87% | 82% | 0.90 |
Multi-Agent Supply Chain Optimization with Reinforcement Learning
- π° 36% Cost Savings compared to traditional heuristic baselines.
- π‘οΈ 0.998 / 1.000 Resilience Score under simulated supply chain disruptions.
- π¦ 99.7% Order Fill Rate trained across 913K rows of multi-store demand history.
Digital Twin Carbon Sandbox with Gemini 2.5 Flash Receipt OCR & Streaming EcoCoach
- π€ Powered by Gemini 2.5 Flash for multi-modal structured receipt scanning OCR.
- π¬ Live streaming Server-Sent Events (SSE) AI EcoCoach advisor.
- π¨ Framer Motion micro-animations & Zustand local state persistence.
Multilingual GenAI Operations Layer for Fans, Staff & Organizers
- π¬ 6 Integrated GenAI Modules: Multilingual stadium chat (12 languages), Crowd Intelligence advisory, Accessibility plain-language simplify with TTS, Eco-route finder, Interactive SVG map, and Volunteer briefing.
- β‘ Powered by Google Gemini 3.5 Flash with reasoning tokens, hosted on Vercel Edge.
Voice-Enabled AI Assistant with Iron Man HUD Aesthetics
- ποΈ Real-time voice I/O via Web Speech API paired with streamed Gemini 2.5 Flash responses.
- β‘ Animated Arc Reactor HUD, particle canvas, system diagnostics, and career tracking panels.
Local Technical Debt & Sprint Planning Model Context Protocol (MCP) Server
- π Scans repository ASTs for unresolved
TODO:,FIXME:,BUG:tags (scan_todos). - π Dynamically constructs read-only
project://backlogvirtual markdown resources for LLMs. - π― Includes
sprint-plannerprompt template for automated AI sprint breakdown.
π€ AI, Deep Learning & MAS
ποΈ Computer Vision, CUDA & WebGL
π₯οΈ Backend & MLOps Infrastructure
π Frontend & Web Engineering