Open to opportunities

Shreyas Kori

@shreyaskori

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Machine learning expert applying AI-driven predictive analytics to improve industrial reliability and efficiency.

India

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What I'm looking for

I seek roles applying AI/ML to industrial systems—focusing on predictive maintenance, reliability, and data-driven decision-making in collaborative, engineering-led teams.

I am a machine learning expert who applies deep learning, probabilistic modeling, and Python-driven automation to solve industrial engineering challenges. My work focuses on time-series forecasting, predictive maintenance, and risk-based inspection for real-world assets.

At BP (Aberdeen) I developed probabilistic degradation and corrosion models, integrated condition-monitoring data into predictive pipelines, and helped reduce unplanned downtime by 30%. I have built deep learning architectures (BiLSTM, CNN-LSTM) for RUL forecasting of turbofan engines and applied reinforcement learning to optimize maintenance scheduling.

In industry roles I created Python automation for design validation, built preprocessing and visualization pipelines with SQL and Tableau, and integrated sensor/IoT streams into condition-monitoring frameworks. I consistently delivered improvements in efficiency, documentation accuracy, and project delivery timelines.

I combine a mechanical systems background with advanced AI/ML skills and practical tools (TensorFlow, PyTorch, SQL, Tableau) to bridge assets with intelligent automation, driving better decision-making, reliability, and operational efficiency.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

British Petroleum

Apr 2024 - Dec 2024 (8 months)

Designed deep learning pipelines (BiLSTM, CNN-LSTM) and RL-based scheduling for RUL forecasting and predictive maintenance, integrating condition-monitoring with FEA to reduce unplanned downtime by 30%. Evaluated models using RMSE/MAE and improved AI diagnostic interpretability for reliability benchmarking.

Bi LSTM CNN LSTM Reinforcement Learning Python TensorFlow PyTorch RMSE MAE

Project Engineer

Gunnam Infra Pvt Ltd.

Jul 2020 - Dec 2023 (3 years 5 months)

Developed Python automation and data pipelines, reducing documentation errors 25% and saving 200+ engineering hours annually; implemented predictive models and ML-driven process optimizations that accelerated project delivery by 20%.

Python SQL Pandas Tableau Automation)CAD Automation

Research Project Intern

A*STAR Institute of High Performance Computing

Oct 2019 - Jun 2020 (8 months)

Built deep learning (BiLSTM, CNN-LSTM) RUL forecasting models for turbofan engines, applied RL for maintenance scheduling, and validated time-series pipelines using Python, improving model evaluation and reliability metrics.

Bi LSTM BiLSTM CNN LSTM Reinforcement Learning Python NumPy Pandas TensorFlow PyTorch Time Series

Education

Degrees, certifications, and relevant coursework

University of Aberdeen

Master of Science, Advanced Mechanical Engineering

2024 - 2025

Master of Science in Advanced Mechanical Engineering with coursework in FEM, optimization, CFD, and a dissertation on AI-driven probabilistic modeling of topside structure corrosion for risk management.

Coventry University

Bachelor of Engineering (Hons.), Mechanical Engineering

2017 - 2020

Bachelor of Engineering (Hons) in Mechanical Engineering with a dissertation on deep learning for turbofan engine remaining useful life prediction using CNN-LSTM and Python.