Publication
Getting the Most Out of Pre-trained Models
https://www.toptal.com/developers/deep-learning/exploring-pre-trained-models
Nauman is available for hire
Hire NaumanNauman Mustafa
Verified Expert in Engineering
Python Developer
Edogawa City, Tokyo, Japan
Toptal member since October 10, 2019
Bio
Nauman works with agentic AI both during development and shipping agentic experience in production. Previously, he has developed and deployed state-of-the-art deep learning models in production. He's worked with models in image classification, object detection, image generation, OCR, and text generation. Nauman has mostly worked in startup-sized teams, and he prefers working on products involving agentic AI or deep learning systems.
Portfolio
LegalOn Technologies
TypeScript, Codex, Google Kubernetes Engine (GKE), Claude, Python...
Autify
Python, Machine Learning, Deep Learning, Google Cloud Platform (GCP)...
VisionX
Docker, Google Cloud Platform (GCP), PyTorch, Python, Deep Learning
Experience
- Python - 8 years
- Deep Learning - 5 years
- PyTorch - 5 years
- Google Cloud Platform (GCP) - 4 years
- Docker - 2 years
- Agentic AI - 1 year
- Claude Code - 1 year
- Codex - 1 year
Preferred Environment
Codex, Claude Code
The most amazing...
...thing I designed, trained, and deployed is a vision-based transformer encoder-decoder model for OCR, built from scratch and outperforming Google Cloud OCR.
Work Experience
Senior AI Engineer
2025 - PRESENT
LegalOn Technologies
- Built AI Revise V3, achieving an approximate 60% win rate across most evaluation datasets.
- Designed and implemented the end-to-end AI Revise evaluation system, from metric computation through an LLM-based judge.
- Contributed to Project Re: Invent, rebuilding the company's core product around an agentic AI foundation.
- Shipped the Workflow Engine for Re: Invent, enabling users to author complex workflows in simple, natural language.
Technologies: TypeScript, Codex, Google Kubernetes Engine (GKE), Claude, Python, Google Cloud Platform (GCP), Docker, Agentic AI, Large Language Models (LLMs), AI Systems, Multi-agent Systems, AI Agents, Full-stack
Senior Machine Learning Engineer
2020 - 2025
Autify
- Led the ML team by setting technical direction and driving delivery across multiple machine learning projects.
- Deployed an optimized Visual Regression API pipeline serving 14+ million requests at approximately $1,200 per month using Knative on GKE.
- Developed and trained an in-house transformer-based OCR model from scratch, reaching >95% character recognition across 30,000+ Japanese and English characters.
- Built LLM-powered tools for test creation and test generation, producing tests, Gherkin, and Playwright code from feature PRDs.
Technologies: Python, Machine Learning, Deep Learning, Google Cloud Platform (GCP), Test Automation, PyTorch, Docker, Agentic AI, Large Language Models (LLMs), AI Agents
Deep Learning Engineer
2018 - 2020
VisionX
- Implemented lyrics extraction with EAST and Tesseract for a music-sheet parsing program.
- Improved a proprietary information-retrieval algorithm for parcel images captured by cameras.
- Trained BERT-based classifiers on datasets of 100,000+ examples and used GPT-2 and T5 for unstructured-text parsing.
- Built Flask APIs to wrap information extraction using Firestore, Cloud Storage, Cloud Tasks, and other GCP native services.
- Constructed and deployed API Docker images and deployed them to Google Cloud Run.
Technologies: Docker, Google Cloud Platform (GCP), PyTorch, Python, Deep Learning
Experience
Education
2014 - 2018
Bachelor's Degree in Computer Engineering (Electrical Engineering)
National University of Sciences and Technology - Islamabad, Pakistan
Skills
Libraries/APIs
PyTorch
Tools
Codex, Claude Code, Claude, Google Kubernetes Engine (GKE)
Languages
Python, TypeScript
Platforms
Google Cloud Platform (GCP), Docker
Paradigms
Test Automation
Storage
NoSQL
Other
Large Language Models (LLMs), AI Agents, Deep Learning, Agentic AI, AI Systems, Machine Learning, Multi-agent Systems, Electrical Engineering, Full-stack
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