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$
USD
I will debug deep learning models, fix pytorch oom and eliminate data leakage
Senior Fintech and AI Architect, React MVP Developer, Data Systems Specialist
I'm Muzamil,
I bridge the gap between complex backend data and elegant front-end products. As a specialist in Fintech and AI, I engineer full-stack, scalable MVPs.
Why Only Me?
• Proven Track: Succes...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Stop your enterprise R&D projects from failing due to hidden technical bottlenecks.
Advanced deep learning architectures require rigorous model risk governance. I provide expert-level technical auditing and optimization for complex machine learning pipelines, ensuring your models are scalable, reliable, and mathematically sound.
Core Optimization Services:
- Fix Intractable OOM Errors: Resolving CUDA memory fragmentation via execution plan refactoring and max_split_size_mb tuning, allowing large models to fit your current hardware.
- Eliminate Insidious Data Leakage: Rewriting data ingestion architectures to strictly isolate preprocessing pipelines, preventing temporal and target contamination.
- Scale Advanced Architectures: Optimizing Swin Transformers and state-space models for edge latency and improved associative recall.
- Cross-Modal Alignment: Correcting spatial and semantic hallucinations in Vision-Language Models using advanced feature fusion.
The Premium Deliverable: Accelerated through multi-agent orchestration workflows, enterprise deliveries include fully verifiable results, compliant architecture diagrams, and high-end dark-mode glassmorphic React dashboards.
Programming language:
Python
•
MATLAB
•
MLflow
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
MLflow
•
Colab
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
TensorFlow
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Do you train models from scratch in this gig?
This gig is specifically designed for auditing, debugging, and rescuing existing models and research pipelines. If you need a model built from the ground up, please check my other enterprise orchestration gigs.
How do you handle sensitive financial or credit risk data?
I utilize strict model risk management principles. I recommend providing synthetic or heavily masked data for the debugging phase to ensure privacy compliance while the data pipelines are refactored.
What frameworks do you specialize in?
I specialize in PyTorch, focusing on Vision Transformers (ViT, Swin), Large Multimodal Models, and integrating multi-agent orchestration frameworks (LangGraph, CrewAI) for pipeline automation.
