Open to opportunities

Tushar Wagh

@tusharwagh

Message

Data & MLOps engineer building scalable ML pipelines and production systems.

India

Message

What I'm looking for

I am seeking roles where I can build and operate production ML systems, lead data pipeline design, and work in collaborative, innovative teams that prioritize reproducibility, reliability, and impact on healthcare or AI products.

I am a Data & MLOps engineer with extensive experience designing scalable data pipelines, deploying and monitoring ML models, and enabling reproducible CI/CD workflows for AI-driven products. I have delivered healthcare and fertility-focused solutions using cloud platforms, big data technologies, and deep learning frameworks.

Throughout my career I have led data engineering and machine learning efforts across startups and enterprise teams, implementing solutions with Python, Spark, AWS, Azure, GCP, Docker/Kubernetes, and orchestration tools to improve patient outcomes and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Data and MLOps Engineer

Current

Fairtility

May 2025 - Present (5 months)

Design and maintain scalable data pipelines and MLOps infrastructure for AI-driven fertility solutions, enabling reproducible model deployment, CI/CD, monitoring, and automation used in IVF clinics.

MLOps Data Pipelines CI CD Model Versioning AWS Docker Kubernetes Monitoring

Data Engineer

Optum

Oct 2023 - Apr 2025 (1 year 6 months)

Designed and implemented large-scale healthcare data pipelines ensuring data integrity and compliance, and applied ML models to derive actionable insights that improved patient outcomes.

Python Hadoop Spark Data Engineering ETL Big Data Machine Learning Health Data

Data Scientist

Innova Solutions

Mar 2022 - Sep 2023 (1 year 6 months)

Developed AI models on complex healthcare datasets to predict disease trends and optimize treatment plans, collaborating with clinicians and stakeholders to translate insights into clinical solutions.

Machine Learning Deep Learning Python Healthcare Analytics Data Visualization Stakeholder Management

Data Scientist

BioEnable Technologies

Aug 2019 - Mar 2022 (2 years 7 months)

Designed and trained ML models for object detection, segmentation, and facial recognition, optimizing performance using OpenCV, TensorFlow, and PyTorch.