Machine Learning Engineer building and deploying production PyTorch deep learning models at Predictiva, owning the ML lifecycle end to end: designing, training, and deploying multi-agent reinforcement learning models on a Ray/RLlib distributed stack. I integrate models into cloud services on AWS, and focus on monitoring, reliability, and continuous improvement in production. I build scalable, tested Python data pipelines and APIs (FastAPI, Ray Serve) and apply MLOps best practices including Docker, CI/CD via GitHub Actions, and experiment tracking with MLflow/W&B. With an MSc (Distinction) in Artificial Intelligence and strong foundations in deep learning and applied statistics, I also bring C++ alongside Python for performance-sensitive work.

Ali Tariq

Machine Learning Engineer building and deploying production PyTorch deep learning models at Predictiva, owning the ML lifecycle end to end: designing, training, and deploying multi-agent reinforcement learning models on a Ray/RLlib distributed stack. I integrate models into cloud services on AWS, and focus on monitoring, reliability, and continuous improvement in production. I build scalable, tested Python data pipelines and APIs (FastAPI, Ray Serve) and apply MLOps best practices including Docker, CI/CD via GitHub Actions, and experiment tracking with MLflow/W&B. With an MSc (Distinction) in Artificial Intelligence and strong foundations in deep learning and applied statistics, I also bring C++ alongside Python for performance-sensitive work.

Available to hire

Machine Learning Engineer building and deploying production PyTorch deep learning models at Predictiva, owning the ML lifecycle end to end: designing, training, and deploying multi-agent reinforcement learning models on a Ray/RLlib distributed stack. I integrate models into cloud services on AWS, and focus on monitoring, reliability, and continuous improvement in production.

I build scalable, tested Python data pipelines and APIs (FastAPI, Ray Serve) and apply MLOps best practices including Docker, CI/CD via GitHub Actions, and experiment tracking with MLflow/W&B. With an MSc (Distinction) in Artificial Intelligence and strong foundations in deep learning and applied statistics, I also bring C++ alongside Python for performance-sensitive work.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Machine Learning Engineer at Predictiva
December 1, 2025 - Present
Designed, trained, and deployed production deep learning models (PPO/APPO multi-agent reinforcement learning) in PyTorch on a Ray/RLlib distributed stack, integrated into AWS cloud services. Outperformed the S&P 500 buy-and-hold benchmark by 5%. Monitored and evaluated model performance in production, diagnosing and eliminating three distinct reward-hacking failure modes through systematic behaviour evaluation, improving reliability and speed. Built and maintained scalable, tested Python data pipelines and APIs (FastAPI), implementing MLOps best practices including CI/CD via GitHub Actions and Docker containerisation. Debugged distributed-training clusters and enforced data-leakage prevention and statistical validation using advanced SQL on noisy financial time-series data.
AI/ML Engineer at Predictiva
December 1, 2025 - Present
Built and deployed end-to-end AI-powered systems by integrating ML models and AI agents (PPO/APPO) into production on a Ray/RLlib framework, improving performance over the S&P 500 buy-and-hold benchmark by 5%. Designed AI agent solutions using orchestration (LangGraph, LangChain, MCP), tool use, and RAG, and served them via Python web APIs (FastAPI/Ray Serve) with systematic evaluation gates. Deployed on AWS/GCP using Docker and CI/CD, debugging distributed clusters including shared-state and episode-boundary issues, and enforcing data-leakage prevention. Refactored research code into modular, tested Python packages and translated loosely-specified requirements into working systems, using Claude Code for agentic pair-programming.
Student Ambassador & Graduate Lab Assistant at University of Essex
October 1, 2023 - February 1, 2025
Used Python-based EDA to uncover an admissions trend, contributing to a 90% rise in home-student applications. Built Tableau/Power BI dashboards and SQL ETL workflows, translating requirements for non-technical stakeholders. Provided academic support across Mathematics for Computer Science, Information Retrieval, and Computer Security modules.

Education

MSc Artificial Intelligence (Distinction) at University of Essex
January 1, 2025 - January 1, 2025
MSc Artificial Intelligence (Distinction) at University of Essex
January 1, 2024 - January 1, 2025
MSc Artificial Intelligence (Distinction) at University of Essex
January 1, 2025 - January 1, 2025
MSc Artificial Intelligence (Distinction) at University of Essex
January 1, 2024 - January 1, 2025

Qualifications

GREAT Scholar (UK Government & British Council)
January 1, 2025 - July 23, 2026
GREAT Scholar (UK Government & British Council)
January 1, 2024 - August 22, 2026

Industry Experience

Software & Internet, Education, Financial Services, Professional Services, Computers & Electronics