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I am an AI/ML Engineer with over 4 years of experience designing, implementing, and supporting production-grade AI and data-driven solutions across enterprise environments. I have strong expertise in Python, PySpark, Apache Spark, and machine learning frameworks, with hands-on experience building predictive models, anomaly detection systems, and real-time analytics pipelines. I bring ML Ops and data engineering experience, leveraging Airflow, MLflow, Docker, and Kubernetes to automate training, versioning, monitoring, and deployment of scalable ML workflows on AWS, Azure, and GCP. I enjoy collaborating with engineering and product teams to deliver secure, scalable AI capabilities that drive measurable business impact.…I am an AI/ML Engineer with over 4 years of experience designing, implementing, and supporting production-grade AI and data-driven solutions across enterprise environments. I have strong expertise in Python, PySpark, Apache Spark, and machine learning frameworks, with hands-on experience building predictive models, anomaly detection systems, and real-time analytics pipelines. I bring ML Ops and data engineering experience, leveraging Airflow, MLflow, Docker, and Kubernetes to automate training, versioning, monitoring, and deployment of scalable ML workflows on AWS, Azure, and GCP. I enjoy collaborating with engineering and product teams to deliver secure, scalable AI capabilities that drive measurable business impact.

Tharun Madharaputh Arun

AI Engineer, Data Scientist, Full Stack Developer, +5

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I am an AI/ML Engineer with over 4 years of experience designing, implementing, and supporting production-grade AI and data-driven solutions across enterprise environments. I have strong expertise in Python, PySpark, Apache Spark, and machine learning frameworks, with hands-on experience building predictive models, anomaly detection systems, and real-time analytics pipelines. I bring ML Ops and data engineering experience, leveraging Airflow, MLflow, Docker, and Kubernetes to automate training, versioning, monitoring, and deployment of scalable ML workflows on AWS, Azure, and GCP. I enjoy collaborating with engineering and product teams to deliver secure, scalable AI capabilities that drive measurable business impact.…I am an AI/ML Engineer with over 4 years of experience designing, implementing, and supporting production-grade AI and data-driven solutions across enterprise environments. I have strong expertise in Python, PySpark, Apache Spark, and machine learning frameworks, with hands-on experience building predictive models, anomaly detection systems, and real-time analytics pipelines. I bring ML Ops and data engineering experience, leveraging Airflow, MLflow, Docker, and Kubernetes to automate training, versioning, monitoring, and deployment of scalable ML workflows on AWS, Azure, and GCP. I enjoy collaborating with engineering and product teams to deliver secure, scalable AI capabilities that drive measurable business impact.

Available to hire

I am an AI/ML Engineer with over 4 years of experience designing, implementing, and supporting production-grade AI and data-driven solutions across enterprise environments. I have strong expertise in Python, PySpark, Apache Spark, and machine learning frameworks, with hands-on experience building predictive models, anomaly detection systems, and real-time analytics pipelines.

I bring ML Ops and data engineering experience, leveraging Airflow, MLflow, Docker, and Kubernetes to automate training, versioning, monitoring, and deployment of scalable ML workflows on AWS, Azure, and GCP. I enjoy collaborating with engineering and product teams to deliver secure, scalable AI capabilities that drive measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist at Zentek InfoSoft

January 1, 2023 - September 19, 2025

Led ML/NLP initiatives; designed and implemented production-grade ML pipelines for customer churn and retention; containerized models with Docker; integrated with CI/CD using Azure/AWS; built dashboards and monitoring.

Data Analyst

November 1, 2019 - April 1, 2020

Cleaned and organized voter feedback data using PostgreSQL and Python (Pandas, NLTK, SpaCy, Hugging Face Transformers), built sentiment classification models, and crafted SQL-based dashboards. Achieved 92% accuracy and reduced manual review effort by 25% during Voter Mood beta phases.

Data Scientist at Zentech Infosoft

May 1, 2020 - January 1, 2023

Built voter feedback classification models with Python (scikit-learn, NLP tooling) and PySpark; achieved 92% accuracy. Developed employee churn prediction models and designed Apache Spark ETL pipelines on AWS Glue and Redshift; scaled ML workflows with MLflow and integrated Airflow and Azure ML for automated training and monitoring. Created 15+ interactive dashboards (Power BI, Amazon QuickSight) to accelerate executive decision-making. Led enterprise-scale churn prediction and retention strategy pipelines, enabling data-driven decisions in production-like environments.