Open to opportunities

faisal ahmed

@faisalahmed1

Message

Data-driven AI Engineer and Data Scientist with proven expertise.

Saudi Arabia

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to solve complex problems and contribute to impactful projects.

I am a data-driven AI Engineer, Data Scientist, and Data Analyst with several years of experience in designing, developing, and deploying machine learning and deep learning solutions. My deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) allows me to leverage advanced technologies to optimize model performance and drive significant business impact.

Throughout my career, I have successfully automated ETL pipelines, fine-tuned LLMs for CPU/GPU deployment, and extracted actionable insights from diverse datasets. I excel in building end-to-end AI solutions and automating workflows to support strategic decision-making. My collaborative approach enables me to work effectively with cross-functional teams, translating complex technical concepts for stakeholders and delivering scalable AI systems across various business domains.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

QWORK

Aug 2024 - Present (10 months)

Designed and optimized PostgreSQL schemas, and conducted comprehensive data analysis using Python (Pandas, NumPy) to identify trends. Implemented and maintained RESTful APIs (Django) to support ML inference and analytics pipelines, reducing model-serving latency by 30%. Engineered NLP pipelines (spaCy, Hugging Face Transformers) to extract and preprocess unstructured text, increasing data extracti

PostgreSQL Python Pandas NumPy RESTful APIs Django NLP SpaCy Docker Kubernetes

Machine Learning Engineer (Research Assistant)

IIUM

Jan 2022 - Jun 2023 (1 year 5 months)

Analyzed large-scale datasets (1M records) to train ML/DL models (TensorFlow, PyTorch) for classification, achieving 99.87% accuracy. Developed and optimized an intrusion detection system leveraging Random Forest and LSTM models, reducing false positives by 18%. Architected and implemented scalable backend systems and data pipelines (Django, PostgreSQL) to process real-time patient data.

TensorFlow PyTorch Random Forest Django PostgreSQL scikit learn WPF Machine Learning Deep Learning Data Analysis

IOT Developer (Software Developer)

IDEASPARQ ROBOTICS

Aug 2020 - Oct 2020 (2 months)

Created data ingestion modules to stream sensor data to cloud platforms, enabling real-time monitoring. Assisted in prototyping an automated environmental monitoring system that reduced manual data collection efforts by 50%.

IoT Sensor Data Cloud Platforms Monitoring Data Ingestion Software Development

Education

Degrees, certifications, and relevant coursework

International Islamic University Malaysia

Master of Computer and Information Engineering, Computer and Information Engineering

Specialized in Deep Learning, Machine Learning, Natural Language Processing (NLP), Data Analysis, Big Data, Cloud Computing, Computer Vision, and Web Development. Conducted research and published academic papers in Artificial Intelligence and Data Analysis.

International Islamic University Malaysia

Bachelor of Engineering, Communication and Electronics

Specialized in Networking, Cybersecurity, Encryption, Data Analysis, Cryptography, Image, and Speech Processing. Researched and developed in IoT, Network Analysis, Database Design, and API Testing.