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Aashish Waghela

@aashishwaghela

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Machine learning engineer specializing in cloud-native MLOps, geospatial analytics, and production-ready AI pipelines.

India

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What I'm looking for

I seek roles building production ML systems and cloud-native MLOps where I can deploy scalable, auditable AI pipelines, work with geospatial and transactional data, and drive measurable business impact in collaborative teams.

I am a machine learning engineer with hands-on experience building cloud-native MLOps, ETL/ELT pipelines, and production AI systems that improve business outcomes. I have delivered risk-scoring and predictive models using Azure Databricks, XGBoost, MLflow and Airflow, and engineered anomaly detection and self-healing data pipelines for analytics platforms.

My work spans geospatial analytics, data warehousing, and model deployment at scale, with measurable impacts including securing significant project bids and reducing cost overruns. I combine strong engineering discipline with expertise in modern ML toolchains, DevOps practices, and data visualization to drive reliable, auditable, and scalable AI solutions.

Experience

Work history, roles, and key accomplishments

AI & ML Engineer

Freelance

Jul 2025 - Sep 2025 (2 months)

Built a scalable Data Vault 2.0 ELT pipeline for an e-commerce analytics platform and engineered an AI-powered anomaly detection system with self-healing pipelines that reduced downstream reporting errors by 8%.

ELT Anomaly Detection MLOps Python Airflow Azure

Machine Learning Engineer

Savani Constructions

Mar 2023 - May 2025 (2 years 2 months)

Built a cloud-native risk-scoring data mart integrating geospatial and structured data that helped secure ₹41+ crore in project bids; developed XGBoost-based delay prediction and Monte Carlo simulations that improved on-time delivery by 8% and reduced annual cost overruns by ₹3 crore.

XGBoost MLFlow Airflow MLOps Geospatial Data Warehousing

Machine Learning Engineer

Arbuda Infrastructure Projects

Aug 2020 - Aug 2021 (1 year)

Deployed an interactive flood-risk dashboard processing 2M+ geospatial points via Azure Databricks and Azure Maps to support urban planners, and optimized pipelines to reduce execution time by 5%.

Databricks Power BI Data Engineering Python Performance Optimization

Education

Degrees, certifications, and relevant coursework

Queen Mary University of London

Master of Science, Big Data Science

2021 - 2023

Grade: Distinction

Completed an MSc in Big Data Science with distinction, including a dissertation on blockchain anomaly detection using cloud-native ML ensemble models.

University of Mumbai

Bachelor of Engineering, Information Technology

2017 - 2021

Grade: 7.81/10 CGPA

Completed a Bachelor of Engineering in Information Technology with a thesis on emotional intelligence in professional growth using logistic regression and PCA.