I'm Gitesh
AI/ML Engineer
& Researcher
Building intelligent systems that understand, learn, and adapt
Specialized in deep learning, computer vision, and natural language processing. I design and implement cutting-edge AI solutions that push the boundaries of what's possible with machine intelligence.
|Featured Projects
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txtcode lets you text AI coding agents like Claude Code, Cursor CLI, Gemini CLI, or OpenAI Codex from apps like WhatsApp or Telegram so your message turns into real code running on your machine. 🚀
KerasFormers
KerasFormers: Open-source Keras 3 collection of pretrained models across Vision, VLM, Depth, Speech, and more
LocalML
Electron desktop app for running any HuggingFace model locally. Browse the Hub, download, and execute -> object detection, segmentation, classification, ASR, image captioning, VLM chat, text generation, text-to-image, on your own machine via a Python sidecar.
Trinix 🚀
Triton-accelerated PyTorch layers with automatic fallback optimization. Trinix intelligently selects between Flash Attention, Triton kernels, and PyTorch backends based on hardware capabilities and workload characteristics, with graceful fallback for maximum compatibility.
Core Expertise
Comprehensive AI/ML expertise spanning from traditional machine learning to cutting-edge deep learning architectures and scalable data science solutions.
- Machine Learning & Deep Learning
Advanced expertise in ML algorithms and neural network architectures. Specialized in computer vision, NLP, LLMs, attention mechanisms, and transformer models.
Experience: 3+ years
KVMM: Keras Vision Models library
Proficiency88%TensorFlowPyTorchKerasScikit-learnTransformersObject DetectionImage Segmentation- Agentic AI
Building intelligent AI agents and conversational systems. Expert in RAG architectures, LLM integration, and document processing with advanced NLP capabilities.
Experience: 2+ years
Chat with PDFs using LLMs
Proficiency75%LangChainHuggingFaceGroqLlamaIndexRAG- Full-Stack Development
End-to-end web application development with modern frameworks. Expert in building scalable applications with cloud infrastructure and security best practices.
Experience: 1 year
Production deployments at Fiserv
Proficiency80%React.jsJavaScriptTypescriptAWSGraphQL
Professional Experience
A journey through cutting-edge AI/ML roles, from research breakthroughs to production systems at scale
Technology Analyst - SDE
Deep Learning Intern
Open Source
Actively contributing to the open-source community with a focus on AI/ML tools and libraries.
Keras
Core contributor to Keras core library, developing image processing layers and mathematical operations.
Key Contributions:
- •Implemented RandomGrayscale, RandomHue, and Equalization layers
- •Added mathematical operations (unravel_index, diagflat, inner)
- •Developed PSNR API for image quality assessment
Keras.io Documentation
Contributed comprehensive documentation and tutorials to the official Keras documentation site.
Key Contributions:
- •Created TensorFlow Decision Forest integration docs
- •Developed YOLOv8 training implementation tutorial
KerasCV
Contributed computer vision models and loss functions to the Keras Computer Vision library.
Key Contributions:
- •Implemented CIoU loss function for YOLOv8
- •Implemented ConvMixer architecture
- •Contributed to the migration process to Keras 3.
- •Assisted in migrating models to the functional-subclassing API.
HuggingFace Transformers
Contributed optimizations for vision transformer implementations, documentation improvements, and enhanced testing coverage.
Key Contributions:
- •Implemented comprehensive tokenization tests for LED model architecture
- •Enhanced type safety by adding PyTorch-specific type hints
- •Added missing tokenization test coverage for ELECTRA model