🎯Skills27
Converts PyTorch models to ONNX format for cross-platform inference, optimizing deep learning model deployment and performance.
Generates Minecraft Pocket Edition (MCPE) mod and addon build configurations with automated resource packaging and version management
Streamlines PyTorch model training with simplified distributed computing, logging, checkpointing, and advanced training workflows across GPUs and TPUs.
Automates Notion research workflows by extracting, organizing, and structuring research notes, sources, and insights into clean, actionable documentation.
Perform local retrieval-augmented generation using Ollama models, enabling context-aware Q&A and document analysis without external API dependencies.
Streamlines model compression and performance optimization in PyTorch by implementing quantization techniques for reduced memory and faster inference
Automates capturing and organizing web content, articles, and research into structured Notion databases with intelligent tagging and metadata extraction.
Deploys and manages machine learning models using PyTorch's TorchServe framework for scalable and efficient model serving
Streamlines PyTorch model development with optimized tensor operations, neural network layers, and training workflows for deep learning projects.
Fine-tune large language models efficiently using LoRA with optimized memory and performance for machine learning practitioners.
Transforms Notion specifications into executable code, bridging design requirements with technical implementation across programming languages.
Streamlines Google Ads API interactions, enabling automated campaign management, performance tracking, and data-driven advertising optimization
Streamlines audio processing and machine learning tasks using PyTorch's torchaudio library for feature extraction, transformation, and deep learning models
Simplifies computer vision tasks with pre-trained models, image transformations, and dataset loading for deep learning in PyTorch.
Streamlines advanced ultraviolet light simulation and analysis for photochemical research, material science, and environmental modeling
Fine-tunes large language models efficiently using Unsloth's memory-optimized and accelerated supervised fine-tuning techniques.
Automates Notion meeting notes with AI-powered summarization, action item extraction, and intelligent insights from meeting transcripts
Craft precise, effective AI prompts with advanced techniques to maximize response quality, clarity, and relevance across language models.
Preprocesses and transforms text data for natural language processing tasks using PyTorch's text utilities and neural network pipelines
Automate complex CLI workflows by creating intelligent, self-executing agents that can interact with command-line interfaces programmatically
Simplifies graph neural network development with PyTorch Geometric, enabling efficient graph data processing and advanced machine learning models.
Optimizes machine learning training performance by implementing fast Fourier transform techniques for efficient data preprocessing and model acceleration.
Simplifies distributed deep learning training across multiple GPUs and machines using PyTorch's advanced parallel processing techniques
Validates and standardizes GitHub comment addresses across repositories, ensuring consistent formatting and reference resolution.
Builds advanced retrieval-augmented generation agents with customizable knowledge bases for intelligent, context-aware conversational interactions
Automatically diagnoses and repairs GitHub Actions workflow failures by analyzing logs, suggesting fixes, and generating corrected configuration files
Generates high-quality text, code, and creative content using Google's advanced generative AI models with customizable parameters and outputs.