GPU RUNTIME: CUDA 12.4
MODEL ARCH: TRANSFORMER-GEN-7B
CURRENT PHASE: 1 / 4 [DATA INGESTION]
FRAME PROGRESS: 00.0%
EPOCH 01 / 100
TRAIN LOSS 2.418
VAL ACCURACY 41.2%
PHASE 01 // RAW DATA INGESTION

High-Dimensional Feature Tokenization

Continuous token embedding across dense vectors. Scrub mouse or use keyboard arrows to initiate transformer layer compilation.

▲ ▼ or [SCROLL] to Scrub Frames
◄ ► or [DRAG] to 3D Orbit
SPACE to Auto-Drive

Machine Learning Engineer

Specialized in deep learning architectures, end-to-end model training, multi-modal pipelines, and production inference optimization.

17+
Public Repositories & Architectures
99.4%
Peak Validation Benchmark
<15ms
Inference Latency Optimization
RAG + FP16
Production Scale Ready

Live Neural Digit Recognizer

Draw any digit (0 - 9) on the tensor pad below. A lightweight in-browser feature-extraction neural model classifies your drawing in real time with live softmax probability distribution.

28x28 Tensor Input Pad READY TO INFER
Stroke:
TOP PREDICTION
-
CONFIDENCE: --%
INFERENCE TIME ~4.2 ms
PIXEL MATRIX 784 Inputs (28x28)
ACTIVATION Softmax Logits
CLASS PROBABILITY DISTRIBUTION (0 - 9)

Production Models & AI Architectures

Real-world AI platforms with end-to-end forecasting, explainability, and hardware-accelerated interfaces.

CORE RESEARCH

AI Core Models & Experiments

Modular repository of neural architectures, multi-layered perceptrons, convolutional pipelines, and hyperparameter tuning suites tested against benchmark datasets.

PyTorch TensorFlow Scikit-Learn Optuna
Inspect Repository
TIME-SERIES ML

Smart Energy Consumption Tracker

IoT-enabled multivariate time-series forecasting model with anomaly classification to predict peak grid demand and optimize carbon consumption footprints.

Time Series Anomaly Detection Pandas IoT Analytics
Inspect Repository
INTERACTIVE 3D

AirPods Max Motion Showcase

Cinematic hardware experience with interactive frame scrubbing, responsive dynamic audio shaders, and frame-by-frame 3D component breakdown.

Next.js Framer Motion WebGL Tailwind
Inspect Repository

Frameworks & Technologies

Battle-tested tools and frameworks used daily to design, train, and deploy intelligent agents.

Deep Learning & Frameworks

PyTorch TensorFlow Keras Hugging Face Transformers Scikit-Learn OpenCV TorchVision

Data Engineering & Math

Python 3.12 NumPy Pandas SciPy Jupyter Lab Matplotlib / Seaborn Vector Databases

MLOps & Infrastructure

CUDA Acceleration FastAPI Docker Containers Git / GitHub Actions Linux System Administration ONNX Runtime

Live ML Neural Terminal

Run commands directly in this simulated AI runtime environment.

gavinder@cuda-node-01: ~/model_training
CUDA: ONLINE
Initialized Gavinder Singh AI Terminal runtime v2.4.0.
Type help or click command buttons below to interact.
gavinder@ai-core:~$