I'm a senior Python engineer with 11+ years building production ML systems, data platforms, and backend services across healthcare, fintech, and enterprise SaaS. My focus is Python-first end-to-end delivery: data ingestion and feature engineering (pandas, PySpark, Airflow), model development and deployment (PyTorch, TensorFlow, scikit-learn), and serving (FastAPI, Flask) on AWS and Kubernetes. I love working on LLM-powered applications, real-time data pipelines, and MLOps. I’ve led cross-functional teams to scope and deliver AI and data solutions from research to production in regulated environments, driving governance, experimentation, and reliable infrastructure. I enjoy mentoring engineers, defining technical roadmaps, and building trusted AI agents and automation tools that improve client workflows and operational reliability.

Faisal Ejaz

I'm a senior Python engineer with 11+ years building production ML systems, data platforms, and backend services across healthcare, fintech, and enterprise SaaS. My focus is Python-first end-to-end delivery: data ingestion and feature engineering (pandas, PySpark, Airflow), model development and deployment (PyTorch, TensorFlow, scikit-learn), and serving (FastAPI, Flask) on AWS and Kubernetes. I love working on LLM-powered applications, real-time data pipelines, and MLOps. I’ve led cross-functional teams to scope and deliver AI and data solutions from research to production in regulated environments, driving governance, experimentation, and reliable infrastructure. I enjoy mentoring engineers, defining technical roadmaps, and building trusted AI agents and automation tools that improve client workflows and operational reliability.

Available to hire

I’m a senior Python engineer with 11+ years building production ML systems, data platforms, and backend services across healthcare, fintech, and enterprise SaaS. My focus is Python-first end-to-end delivery: data ingestion and feature engineering (pandas, PySpark, Airflow), model development and deployment (PyTorch, TensorFlow, scikit-learn), and serving (FastAPI, Flask) on AWS and Kubernetes. I love working on LLM-powered applications, real-time data pipelines, and MLOps.

I’ve led cross-functional teams to scope and deliver AI and data solutions from research to production in regulated environments, driving governance, experimentation, and reliable infrastructure. I enjoy mentoring engineers, defining technical roadmaps, and building trusted AI agents and automation tools that improve client workflows and operational reliability.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Senior AI/ML Engineer & Data Architect – Tech Lead at Elevance Health
September 1, 2022 - January 1, 2026
Led a cross-functional AI/ML team to define roadmap and architecture for bespoke AI solutions, driving MLOps practices and model governance. Designed and deployed end-to-end ML pipelines for recommendation, forecasting, and churn prediction; developed deep learning NLP/vision models and generative AI tools; built real-time inference services and AI agents with Kubernetes and AWS; established end-to-end model lifecycle with MLflow and A/B testing.
Data Scientist, Analytics & ML at Diligent Robotics
January 1, 2018 - July 1, 2022
Designed analytics dashboards and ETL pipelines to monitor automated delivery workflows; built real-time fleet health monitoring and predictive models for delivery time and route optimization; implemented HIPAA-compliant data access controls and optimized databases for low-latency analytics; developed data APIs and interactive visualizations for human-robot interaction analytics.
On-site Data Engineer at Tata Consultancy Services
May 1, 2014 - November 1, 2017
Built ETL/data pipelines for a digital banking platform, automated data quality checks and reconciliation; designed dimensional data models; developed batch jobs and near-real-time data flows; contributed to big-data initiatives with Python on Hadoop/Spark for scalable processing and historical analysis.

Education

B.S. Computer Science at University of Texas at Austin
January 11, 2030 - May 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Software & Internet, Professional Services, Other