APPLIED AI LAB
Where theoretical computer science and deep learning mathematics meet production systems engineering. An interactive cybernetic testbed for live tensor operations, dynamic loss convergence simulations, 3D lattice topological projections, and computational kernels.
Click and drag or tilt mouse to rotate the multi-layer spatial tensor topology in 3D coordinate space.
Real-time 2D spatial cross-correlation testbed. Select an input signal tensor and convolution kernel to inspect feature map activations and receptive field projections.
ReLU: f(x) = max(0, x)
Hover any output cell on the right to project its 3×3 receptive field.
Calculates horizontal spatial gradient; detects vertical structural edges.
Simulate PyTorch gradient descent dynamics under varied optimizer kernels and objective penalty criteria. Step through epochs to observe asymptotic loss descent and accuracy saturation.
Decoupled Weight Decay Adam
Down-weights easy negatives (γ=2.0)
Distributed Edge Inference &
Tensor Acceleration
Enterprise Neural Vision Pipeline
Real-time multi-agent inference tracking with 99.4% F1-score and distributed WebGPU tensor streaming.
14.2 ms
Inference Latency
99.4%
Precision Rate
1.2M+
Params Active
Hover input nodes or click simulate to observe forward feed-forward tensor activation propagation.
Query specific architectural trade-offs, data pipelines, or modeling decisions directly against project telemetry.
Production hardware constraints dictated the decision. Edge CPU nodes have a strict 30ms latency budget. While YOLOv8x provided a marginal +2.1% mAP gain, it increased tensor parameter size fourfold and consumed 3.8x more CPU cycles. YOLOv5s quantized to INT8 with ONNX Runtime executes deterministically in 24.8ms P95 latency with 89.4% mAP.
Vectorized Kalman Filter Tracker
Linear discrete-time stochastic estimation to interpolate occluded object centroids through 200ms sensor blackout drops.
TreeSHAP Acceleration Kernel
Exact Shapley additive feature attribution optimized via recursive subtree pruning over 50,000 tabular instances.
INT8 Quantization Benchmark
Post-training asymmetric calibration mapping FP32 tensors to 8-bit integers with minimal accuracy degradation.
Anuj AI Lab — Local Agentic Platform
Production-grade local AI engineering platform for agentic RAG, semantic retrieval, conversation memory, and autonomous tool-calling workflows.
RF Signal Classification & AMC Suite
Clean Architecture deep learning framework for Automatic Modulation Classification (AMC) across noisy wireless channels (Rayleigh fading & AWGN).
FuelEU Maritime Decarbonization Platform
Full-stack maritime compliance ledger calculating route GHG intensity, Compliance Balance (CB), and Articles 20/21 banking and pooling.
Distributed Hyperparameter Tuning Framework
Decoupled scheduler-worker architecture distributing intensive hyperparameter trials across worker nodes with durable queues and fault tolerance.
EXP 04 // GENERATIVE RF SPECTROGRAM & DSP WATERFALL
TECH-ART CANVASLive mathematical Fourier transformation synthesizing RF IQ constellations, AWGN channel noise, and dynamic spectrogram waterfall heatmaps.
Autonomous Agentic RAG & Dynamic Tool-Routing
Developing local autonomous agents capable of self-healing tool execution, iterative syntax error correction, and multi-hop semantic graph traversal via ChromaDB and local Ollama kernels.
Sub-Millisecond Edge Quantization & TensorRT
Converting complex PyTorch convolutional and transformer vision backbones into 8-bit integer (INT8) tensor representations via ONNX Runtime and TensorRT, cutting inference memory by 75%.
FuelEU Maritime 2025–2050 Decarbonization Engine
Building domain-driven clean hexagonal architectures calculating GHG emission intensity limits, dynamic compliance balances, banking/borrowing surpluses, and pooled fleet penalty optimizations.