Usama Ahmad
Verified Expert in Engineering
Data Scientist and Developer
Islamabad, Islamabad Capital Territory, Pakistan
Toptal member since May 12, 2026
Usama is a seasoned data scientist and AI/ML engineer with 8.5 years of experience building production-grade AI systems. He's skilled in Python, RAG, agentic RAG, agentic AI, GenAI, AIOps, MLOps, LLMs, TensorFlow, PyTorch, Hugging Face, AWS, Docker, Kubernetes, CI/CD, and observability. Usama has a strong track record of delivering scalable, reliable, and clean AI solutions.
Portfolio
Experience
- FastAPI - 10 years
- Scikit-learn - 9 years
- Python 3 - 9 years
- Data Science - 8 years
- Artificial Intelligence (AI) - 8 years
- Natural Language Processing (NLP) - 8 years
- PyTorch - 8 years
- Machine Learning - 8 years
Preferred Environment
Python 3, TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, AWS IoT, Vector Databases, FastAPI, LangGraph
The most amazing...
...solution I’ve developed is a RAG-based document AI system that turned complex files into fast, accurate answers.
Work Experience
Senior Data Science, AI/ML Engineer
Stella Technology
- Built RAG and GenAI-based document processing systems that helped users get fast, accurate answers from complex healthcare data.
- Developed and deployed ML models using Python, TensorFlow, PyTorch, AWS SageMaker, Docker, and Kubernetes.
- Improved model monitoring and reliability with Prometheus, Grafana, CloudWatch, and CI/CD pipelines for production AI services.
Lead Data Scientist, Title Landman Expert
Table Rock Energy
- Built clean data pipelines to collect and prepare land and energy-related records for reporting and analysis.
- Created dashboards and visual reports that helped the team review key land, lease, and operational data faster.
- Analyzed large datasets to find trends, gaps, and data quality issues, improving accuracy for business decisions.
Data Scientist, AI/ML Engineer
Phoenix Energy
- Developed scalable Python ETL pipelines on AWS EMR and PySpark, processing millions of daily transactions into S3 for ML features.
- Built user segmentation and savings prediction models using KMeans, DBSCAN, and XGBoost, helping improve personalized financial recommendations.
- Deployed real-time fraud detection with Isolation Forest models on AWS Lambda and SQS, flagging suspicious transactions for review.
Experience
Ollama
https://ollama.com/Ollama streamlines DevOps with version pinning, Docker, Terraform, and Helm, and supports ECS/EKS deployments with Cloudflare CDN. It provides RBAC via SpiceDB, audit logging, and Prometheus/Grafana monitoring to enable secure, scalable AI inference pipelines.
Viz AI
https://www.viz.ai/Leveraging AWS Lambda, Terraform, and GitHub Actions, I created scalable, serverless workflows with CI/CD, real-time data pipelines, and secure, multi-region infrastructure compliant with healthcare standards.
Education
Master's Degree in Computer Science
National University of Science and Technology - Islamabad, Pakistan
Bachelor's Degree in Computer Science
University of Wah - WahCantt, Pakistan
Certifications
Python for Data Science, AI, and Development
IBM
Generative AI Prompt Engineering Basics
Coursera
RASA Certified Developer
RASA
Developing AI Applications with Python and Flask
IBM
Generative AI with Large Language Models
DeepLearning.AI
Skills
Libraries/APIs
TensorFlow, PyTorch, Scikit-learn, OpenAI API, Pandas, OpenAI Assistants API, PySpark, Flask API
Tools
Whisper, Claude, Pytest, Zapier, AI SDK, Claude Agent SDK, Azure ML Studio, Azure Machine Learning, NX CAD, SOLIDWORKS, You Only Look Once (YOLO), Terraform, Helm
Languages
Python 3, Python, Markdown, Regex
Frameworks
LangGraph, Streamlit
Paradigms
Automation, ETL, Model Context Protocol (MCP), Best Practices
Platforms
AWS IoT, Amazon Web Services (AWS), Databricks, Harness, Azure, Docker, Kubernetes, AWS Lambda
Storage
PostgreSQL, Datadog
Other
Data Science, Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), Generate AI, RAG Architecture, Agentic AI Systems, AIOps, Hugging Face, LangChain, Vector Databases, FastAPI, Prompt Engineering, Large Language Models (LLMs), Computer Vision, Chatbots, Architecture, API Integration, AI Integration, Audio, APIs, OpenAI, Gemini, RAG Systems, AI Chatbots, Retrieval-augmented Generation (RAG), Media Mix Modeling, Facial Recognition, Facial Tracking, Financial Modeling, Reinforcement Learning, Algorithmic Trading, Deep Reinforcement Learning, Transformer Models, Forex Trading Systems, Actor-critic Methods (A2C, A3C), Bayesian Statistics, Statistics, Linear Regression, Data Labeling, Coding, AI Copilots, Image Processing, Dashboards, Data Cleaning, Google BigQuery, Webhooks, AI Agents, Large Language Model Operations (LLMOps), RAG Pipelines, Hooks, Machine Learning (ML) APIs, Agentic AI, Agentic RAG Systems, Fine-tuning, Workflow Automation, AI Assistants, AI Tools, Data Management, Bots, API Documentation, Neural Networks, ML Pipelines, Computational Mathematics, AI Model Training, 3D Pose Estimation, Motion Capture, Pose Estimation, AI Architecture, Optical Character Recognition (OCR), Time Series Forecasting, Deep Learning, Data Visualization, LLM Reasoning, Quantization, Model Validation, CI/CD Pipelines, Conversational AI
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