Hi there, I'm Haripriya Suryanarayana, an AI/ML Engineer based in London with 2.5+ years of experience designing, training, and deploying machine learning models across e-commerce, marketing, and healthcare domains. I'm proficient in Python, PyTorch, TensorFlow, and scikit-learn, with hands-on experience in end-to-end ML pipeline development, feature engineering, hyperparameter tuning, and model evaluation. I have strong experience with MLOps using Airflow, MLflow, and Docker, and cloud-based ML infrastructure on AWS SageMaker, Azure ML, and GCP Vertex AI. I hold an MSc in Data Science and enjoy collaborating with cross-functional teams to translate business KPIs into measurable ML objectives.

Haripriya Suryanarayana

Hi there, I'm Haripriya Suryanarayana, an AI/ML Engineer based in London with 2.5+ years of experience designing, training, and deploying machine learning models across e-commerce, marketing, and healthcare domains. I'm proficient in Python, PyTorch, TensorFlow, and scikit-learn, with hands-on experience in end-to-end ML pipeline development, feature engineering, hyperparameter tuning, and model evaluation. I have strong experience with MLOps using Airflow, MLflow, and Docker, and cloud-based ML infrastructure on AWS SageMaker, Azure ML, and GCP Vertex AI. I hold an MSc in Data Science and enjoy collaborating with cross-functional teams to translate business KPIs into measurable ML objectives.

Available to hire

Hi there, I’m Haripriya Suryanarayana, an AI/ML Engineer based in London with 2.5+ years of experience designing, training, and deploying machine learning models across e-commerce, marketing, and healthcare domains. I’m proficient in Python, PyTorch, TensorFlow, and scikit-learn, with hands-on experience in end-to-end ML pipeline development, feature engineering, hyperparameter tuning, and model evaluation.

I have strong experience with MLOps using Airflow, MLflow, and Docker, and cloud-based ML infrastructure on AWS SageMaker, Azure ML, and GCP Vertex AI. I hold an MSc in Data Science and enjoy collaborating with cross-functional teams to translate business KPIs into measurable ML objectives.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
See more

Language

English
Fluent

Work Experience

AI/ML Engineer at Trinity Technolabs
August 1, 2024 - Present
Designed and deployed end-to-end supervised ML pipelines processing 1.2M+ transaction records to generate demand forecasting models with 85%+ prediction accuracy, reducing overstock costs by 18%. Engineered feature extraction across 6+ data streams, improving marketing classification F1-score by 12%. Built containerised model serving APIs via FastAPI and Docker for real-time batch inference integrated into production e-commerce workflows, reducing decision latency by 40%. Automated ML training/retraining pipelines with Apache Airflow, cutting manual intervention by 30+ hours/month. Led 10+ ML experiments with MLflow for reproducible evaluation across Random Forest, XGBoost, LightGBM, and Logistic Regression.
IT Systems Analyst at NTT DATA Pvt. Ltd. India
August 1, 2022 - November 30, 2023
Developed system-wide analytics solutions processing data from 15+ healthcare platforms, enabling centralized performance monitoring and anomaly detection. Built data models supporting multi-department hospital operations across 10+ units; optimized SQL queries on large datasets to improve dashboard responsiveness. Automated monitoring pipelines processing high-frequency logs (1,000+ daily) and streamlined audit/tracking workflows reducing manual intervention by 20+ hours per week.

Education

Master of Science in Data Science at University of East London
January 1, 2024 - May 1, 2025
Bachelor of Engineering in Information Science & Engineering at Visvesvaraya Technological University
August 1, 2018 - June 1, 2022

Qualifications

Google Data Analytics Professional Certificate
January 11, 2030 - June 29, 2026
HackerRank Python Certificate
January 11, 2030 - June 29, 2026
Oracle Certified Professional Testing Fundamentals
January 11, 2030 - June 29, 2026

Industry Experience

Healthcare, Software & Internet, Media & Entertainment, Professional Services, Retail