Open to opportunities

Abdullah Farooq

@abdullahfarooq1

Message

Senior AI & ML Engineer and Technical Lead delivering scalable LLM and real-time AI systems across cloud platforms.

Malta

Message

What I'm looking for

I want to lead end-to-end AI delivery—LLMs, NLP, and real-time inference—building scalable systems with strong MLOps. I’m excited to work where I can own architecture, deployment, and continuous model improvement.

I’m a Senior AI & ML Engineer with 6+ years of experience developing and deploying AI-driven applications, machine learning systems, and end-to-end data pipelines. I specialize in Large Language Models (LLMs), predictive modeling, and AI-powered automation—building scalable architectures that optimize model performance and enable real-time decision-making.

In my roles, I’ve led the design of production-grade ML pipelines and NLP solutions, including recommendation systems and transformer-based approaches (BERT/GPT/T5/XLNet). I also drive MLOps and model deployment using AWS, Azure, and GCP—leveraging CI/CD, monitoring, model retraining, and efficient inference via services like AWS Lambda/SageMaker and FastAPI-based model APIs.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer (Lead)

Current

PwC Czech Republic

Oct 2024 - Present (1 year 8 months)

Built machine learning models and end-to-end data pipelines for predictive analytics and NLP tasks, including data preprocessing, feature engineering, and scalable ML model training. Developed NLP and recommendation solutions and implemented scalable systems for real-time decision-making across cloud platforms.

Machine Learning NLP Data Pipelines PostgreSQL Recommendation Systems Prompt Engineering Transformer Models

Senior AI Engineer

Stashie

Feb 2022 - Oct 2024 (2 years 8 months)

Developed AI systems leveraging LLMs for customer targeting, recommendation, and real-time personalization using AWS-based deployment. Led the integration of multi-modal AI and implemented MLOps practices for continuous monitoring and retraining.

LLM Real Time AI Inference AWS Lambda AWS Sagemaker MLOps Model Monitoring Docker CI CD Kafka

AI Engineer

AutoVoice

Jan 2020 - Feb 2022 (2 years 1 month)

Designed and developed AI-powered speech recognition and multi-turn conversational systems using LLMs for real-time speech-to-text and dialogue. Implemented backend services and predictive/NLP features for scalable real-time requests using Kafka and cloud deployments.