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Abu hanif User

@abuhanifuser

Message

Senior AI/ML Engineer building production neural ranking and recommendation systems with measurable impact at scale.

United States

Message

What I'm looking for

I’m looking to advance machine learning capabilities that directly impact user experience and product performance—owning end-to-end production ML, shipping ranking/recommendation systems, and improving reliability through monitoring, feature engineering, and experimentation.

I’m a results-driven Senior AI/ML Engineer with 7+ years of experience designing, building, and deploying production machine learning systems at scale. I specialize in neural network architecture, ranking systems, recommendation engines, semantic search optimization, personalization, and deep learning applications, with a strong end-to-end focus from experimentation to online deployment.

I’ve architected and deployed core ranking and recommendation models that process millions of daily requests while meeting strict latency requirements, using A/B testing, performance monitoring, and robust feature engineering. I also lead infrastructure and reliability efforts—building data pipelines and feature stores (Airflow, Spark, Feast, Kafka), improving serving efficiency (Docker, Kubernetes, AWS Lambda), and establishing observability and model governance practices to keep systems dependable and continuously improving.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Zocdoc

Aug 2023 - Present (2 years 9 months)

Architected and deployed neural ranking and recommendation models for patient-provider matching, serving millions of daily requests with sub-millisecond latency requirements. Built end-to-end experimentation and real-time pipelines (A/B testing with Spark, Airflow/Spark feature generation from Kafka, semantic search with Elasticsearch/BERT) and established monitoring, retraining, and model governa

PyTorch TensorFlow Semantic Search Elasticsearch Spark Airflow Kafka AWS Lambda

Machine Learning Engineer

Capital One

Jun 2019 - Aug 2023 (4 years 2 months)

Developed and deployed credit risk and personalization machine learning systems, including models that processed millions of customer records and powered real-time personalized product recommendations. Built scalable data pipelines on PySpark/AWS EMR and production services with Docker and AWS Lambda, implemented anomaly detection, ran A/B tests, and automated retraining workflows.

Python Spark AWS Lambda Docker scikit learn Gradient Boosting Anomaly Detection A B Testing Airflow PostgreSQL

Junior Software Engineer

NtiVA, Inc.

May 2016 - May 2019 (3 years)

Built backend services and RESTful APIs to support infrastructure monitoring and reporting workflows, including aggregating metrics from multiple IT data sources. Supported AWS cloud migration projects and implemented data extraction and analysis using SQL with PostgreSQL and Python/Flask and Java/Spring.