Open to opportunities

Alistair Ahmad

@alistairahmad

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Innovative Principal Machine Learning Engineer with 12+ years of experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in AI and machine learning.

I am an innovative and results-driven Principal Machine Learning Engineer with over 12 years of experience in artificial intelligence, machine learning, and deep learning. My expertise lies in developing NLP systems, recommendation engines, and computer vision models using advanced technologies such as Python, TensorFlow, and PyTorch. I have a proven track record of leading cross-functional teams and deploying scalable AI solutions across various sectors, including retail, healthcare, and finance.

Throughout my career, I have successfully built and implemented a range of AI-driven projects, such as a dynamic recommendation engine that significantly increased user engagement and booking conversions, and an intelligent NLP-powered chatbot that automated customer support, reducing the load on human agents. I am passionate about mentoring others and driving data strategy that aligns with business goals, ensuring that my teams are equipped with the best practices in deep learning and AI.

Experience

Work history, roles, and key accomplishments

Current

Principal Machine Learning Engineer

Current

DataNova AI

Mar 2021 - Present (4 years 5 months)

Built a real-time recommendation engine using PyTorch and collaborative filtering. Implemented LSTM-based models to predict customer churn in B2C platforms. Deployed cloud-native pipelines using AWS Lambda, EC2, and S3.

PyTorch Collaborative Filtering AWS Lambda EC2 S3 NLP Machine Learning Deep Learning

Senior Machine Learning Engineer

HealthTech AI

Mar 2018 - Jan 2022 (3 years 10 months)

Developed deep learning models (CNN, GANs) for medical image classification. Created NLP pipeline for summarizing patient notes using BERT. Applied reinforcement learning to optimize clinical trial scheduling.

CNN NLP BERT Reinforcement Learning Data Governance HIPAA)Deep Learning Machine Learning Medical Imaging

Machine Learning Engineer

RetailGenius Analytics

Jun 2015 - Feb 2018 (2 years 8 months)

Built a scalable recommendation engine for a major retail client, increasing AOV. Designed feature pipelines with Spark and deployed models via Docker/Kubernetes. Automated fraud detection using anomaly detection techniques and XGBoost.

Spark Docker Kubernetes Anomaly Detection XGBoost Tableau Plotly Machine Learning Data Visualization

Data Scientist

Infotech Solutions

Jul 2013 - May 2015 (1 year 10 months)

Performed advanced statistical analysis for customer segmentation and targeting. Built predictive models for customer retention and marketing ROI optimization. Worked with Hadoop and Hive for distributed data processing.

Statistical Analysis Customer Segmentation Hadoop Hive Data Processing ROI Data Analysis Machine Learning

Education

Degrees, certifications, and relevant coursework

National University of Computer & Emerging Sciences – FAST

Bachelor of Science, Computer Science

Studied Computer Science at the National University of Computer & Emerging Sciences – FAST. Gained foundational knowledge in various aspects of computing.