I'm a Full Stack Engineer & Solution Architect with 20+ years of experience in mobile development, AI/ML, and cloud solutions.

cv -https://docs.google.com/file/d/1gbhxMlrlieD5wGcnhfT-36_WBpGWaSdW/edit?usp=docslist_api&filetype=msword

• Full Stack Development
• AI/ML Solutions
• Cloud Architecture
• Mobile Development (iOS/React Native)

• 🤖 PyTorch | TensorFlow
• 🧠 NLP & Transformers
• 👁️ Computer Vision
• ⚡ Generative AI

• 🎥 Video Streaming Platform (WWE) World Wrestling Entertainment - Conneticut USA
• 📱 Social Media Platform with AR (8secondz)
• 🚗 Ride-Hailing System (Karhoo)
• 🤖 AI-Powered Solutions

A recreation of Microsoft's groundbreaking motion synthesis technology

• Implemented neural motion fields for human motion synthesis
• Built using PyTorch and CUDA optimizations
• Focus on performance optimization and memory efficiency

Reverse engineering study of "MegaPortraits: One-shot Megapixel Neural Head Avatars"

• High-resolution neural head avatar generation
• Implemented novel architecture for one-shot learning
• Utilized Claude AI for code analysis and optimization
• Tech stack: Python, PyTorch, CUDA

Implementation study of VASA (Visual Affective Style Transfer) architecture

• Audio-driven facial animation synthesis
• Emotion-preserving style transfer
• Large-scale model training infrastructure
• Tech stack: Python, PyTorch, Audio processing libraries

Enterprise-grade MLOps toolkit for A100 GPU clusters

• Infrastructure as Code
  • Terraform modules for GCP Vertex AI
  • Automated cluster provisioning
  • GPU quota management
• CI/CD Pipeline
  • Docker containerization
  • Automated deployment workflows
  • Resource optimization
• Monitoring & Scaling
  • Custom metrics collection
  • Auto-scaling policies
  • Cost optimization

ML-powered cryptocurrency trading strategy generator

• Real-time market data processing
• Multiple ML models (Random Forest, LSTM, Transformer)
• Backtesting framework
• Risk management system
• Tech stack: Python, TensorFlow, scikit-learn, pandas

• Advanced computer vision implementations
• Large-scale distributed systems
• MLOps and infrastructure automation
• Performance optimization for GPU clusters
• Research-to-production pipeline development

PinnedLoading

1. IMFIMFPublic

   Implicit Motion Function - (unofficial) Microsoft recreation

   Python 26 1

2. MegaPortrait-hackMegaPortrait-hackPublic

   Using Claude Opus to reverse engineer code from MegaPortraits: One-shot Megapixel Neural Head Avatars

   Python 93 11

3. VASA-1-hackVASA-1-hackPublic

   wip - running some training with overfitting - https://wandb.ai/snoozie/vasa-overfitting

   Python 297 37

4. Emote-hackEmote-hackPublic

   Emote Portrait Alive - using ai to reverse engineer code from white paper. (abandoned)

   Python 182 9

5. CryptoCurrencyTraderCryptoCurrencyTraderPublic

   A machine learning program in python to generate cryptocurrency trading strategies using machine learning. Sklearn and Tensorflow.

   Python 92 119

6. vertex-jumpstartvertex-jumpstartPublic

   helpers to dispatch vertex ai work jobs + get cli access (to train for a few hours) on A100 clusters.

   Shell 1