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I am a results-driven AI/ML and Full Stack Engineer with over 10 years of experience specializing in Python, R, SQL, and multiple machine learning frameworks like TensorFlow, PyTorch, and Keras. My expertise includes building scalable data pipelines, predictive models, and cloud-native deployments across AWS, Azure, and GCP. I also develop interactive dashboards and integrate APIs and containerized workloads using Docker and Kubernetes. Throughout my career, I have worked extensively on medium to large scale projects in healthcare, finance, telecom, and retail sectors, delivering AI-driven solutions that improve operational efficiency and business intelligence. I am adept at designing SDLC workflows using Agile methodologies, constructing modular architectures with design patterns, and ensuring compliance with enterprise security standards while leading continuous integration and deployment efforts.…I am a results-driven AI/ML and Full Stack Engineer with over 10 years of experience specializing in Python, R, SQL, and multiple machine learning frameworks like TensorFlow, PyTorch, and Keras. My expertise includes building scalable data pipelines, predictive models, and cloud-native deployments across AWS, Azure, and GCP. I also develop interactive dashboards and integrate APIs and containerized workloads using Docker and Kubernetes. Throughout my career, I have worked extensively on medium to large scale projects in healthcare, finance, telecom, and retail sectors, delivering AI-driven solutions that improve operational efficiency and business intelligence. I am adept at designing SDLC workflows using Agile methodologies, constructing modular architectures with design patterns, and ensuring compliance with enterprise security standards while leading continuous integration and deployment efforts.

Tarun

AI Engineer, Data Scientist, Full Stack Developer, +1

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I am a results-driven AI/ML and Full Stack Engineer with over 10 years of experience specializing in Python, R, SQL, and multiple machine learning frameworks like TensorFlow, PyTorch, and Keras. My expertise includes building scalable data pipelines, predictive models, and cloud-native deployments across AWS, Azure, and GCP. I also develop interactive dashboards and integrate APIs and containerized workloads using Docker and Kubernetes. Throughout my career, I have worked extensively on medium to large scale projects in healthcare, finance, telecom, and retail sectors, delivering AI-driven solutions that improve operational efficiency and business intelligence. I am adept at designing SDLC workflows using Agile methodologies, constructing modular architectures with design patterns, and ensuring compliance with enterprise security standards while leading continuous integration and deployment efforts.…I am a results-driven AI/ML and Full Stack Engineer with over 10 years of experience specializing in Python, R, SQL, and multiple machine learning frameworks like TensorFlow, PyTorch, and Keras. My expertise includes building scalable data pipelines, predictive models, and cloud-native deployments across AWS, Azure, and GCP. I also develop interactive dashboards and integrate APIs and containerized workloads using Docker and Kubernetes. Throughout my career, I have worked extensively on medium to large scale projects in healthcare, finance, telecom, and retail sectors, delivering AI-driven solutions that improve operational efficiency and business intelligence. I am adept at designing SDLC workflows using Agile methodologies, constructing modular architectures with design patterns, and ensuring compliance with enterprise security standards while leading continuous integration and deployment efforts.

Available to hire

I am a results-driven AI/ML and Full Stack Engineer with over 10 years of experience specializing in Python, R, SQL, and multiple machine learning frameworks like TensorFlow, PyTorch, and Keras. My expertise includes building scalable data pipelines, predictive models, and cloud-native deployments across AWS, Azure, and GCP. I also develop interactive dashboards and integrate APIs and containerized workloads using Docker and Kubernetes.

Throughout my career, I have worked extensively on medium to large scale projects in healthcare, finance, telecom, and retail sectors, delivering AI-driven solutions that improve operational efficiency and business intelligence. I am adept at designing SDLC workflows using Agile methodologies, constructing modular architectures with design patterns, and ensuring compliance with enterprise security standards while leading continuous integration and deployment efforts.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Afar

Advanced

Javanese

Advanced

Work Experience

Senior AI/ML Engineer at AT&T

April 1, 2024 - Present

Led enterprise-scale AI/ML engineering initiatives for telecom operations, delivering predictive analytics, generative AI, and automation solutions. Designed and implemented scalable machine learning models and integrated them with data pipelines using Spark, Hadoop, and Databricks. Developed applications with Django, Flask, and REST APIs, embedding GenAI, LLM, and OpenAI frameworks for NLP and anomaly detection. Managed continuous experimentation with MLflow and Kubeflow, deploying containerized workloads with Docker and Kubernetes in AWS and GCP. Automated CI/CD pipelines and developed interactive dashboards for business intelligence.

Data Scientist at Sentara

April 1, 2024 - September 4, 2025

Developed advanced AI/ML-driven healthcare analytics solutions focused on predictive modeling, clinical data mining, and operational optimization. Built scalable pipelines using Python, R, SQL, and Spark for processing medical data. Applied ML algorithms for patient risk stratification and outcome prediction. Deployed models with Flask and Django APIs. Created real-time visualization dashboards and leveraged cloud platforms for healthcare AI workflows. Ensured compliance with HIPAA standards and integrated GenAI and LLM solutions for clinical documentation and virtual assistants.

AI/ML Engineer at State of WY (DOH)

June 1, 2022 - September 4, 2025

Engineered AI/ML healthcare analytics platforms supporting public health initiatives. Designed predictive and prescriptive models using Python, R, TensorFlow, PyTorch, and Scikit-learn. Integrated cloud deployments across Azure and GCP. Built data pipelines with Spark and Hadoop and ensured compliance with HIPAA. Deployed containerized workloads and automated CI/CD pipelines. Delivered dashboards for epidemiological reporting and implemented cognitive AI features with GenAI and OpenAI frameworks. Collaborated with stakeholders on health AI projects.

Python Developer at Kroger

May 1, 2020 - September 4, 2025

Developed Python-based retail automation and analytics solutions for supply chain, inventory, and customer analytics. Built scalable applications with Django and Flask integrating REST and SOAP APIs. Created dashboards for operational insights. Managed cloud deployments using AWS and Azure with Docker and Kubernetes. Automated CI/CD pipelines and optimized retail data processing. Ensured application security compliance and implemented statistical modeling for customer and sales analytics.

Full Stack Developer at Hexagon

July 1, 2018 - September 4, 2025

Developed full-stack enterprise web applications supporting engineering and geospatial workflows. Built responsive front-end UIs with AngularJS, ReactJS, and implemented REST and SOAP middleware services. Used Java, Spring MVC, Hibernate, and .NET Core for backend services. Managed databases including SQL Server, Oracle, and MongoDB. Automated CI/CD pipelines and deployed scalable applications using Docker and Kubernetes across AWS and Azure. Delivered analytics dashboards and integrated predictive capabilities in enterprise solutions.

Senior AI/ML Engineer at AT&T

April 1, 2024 - Present

Driving enterprise-scale AI/ML engineering initiatives delivering predictive analytics, generative AI, and automation solutions across telecom operations. Designed scalable ML models using Python, R, TensorFlow, PyTorch, and Scikit-learn, integrated data pipelines via Spark, Hadoop, and Databricks. Developed containerized AI applications and multi-cloud model deployments using AWS, Azure, and GCP, with CI/CD automation and real-time dashboards for business intelligence. Actively engaged in AI/ML lifecycle management including model versioning, experimentation, monitoring, and security compliance.

Data Scientist at Sentara

April 1, 2024 - September 4, 2025

Developed AI/ML-driven healthcare analytics solutions focusing on predictive modeling and clinical data mining. Built scalable Spark-based pipelines processing medical data and deployed ML models for patient risk stratification, anomaly detection, and outcome prediction. Created dashboards for real-time healthcare insights and ensured HIPAA compliance through secure cloud deployments on AWS, Azure, and GCP. Automated continuous model retraining and validation pipelines, integrating GenAI and LLM frameworks to enhance clinical documentation and virtual assistant capabilities.

AI/ML Engineer at State of WY (DOH)

June 1, 2022 - September 4, 2025

Engineered AI/ML healthcare analytics platforms to support public health initiatives. Designed and trained models for disease prediction and population health management using Python, R, TensorFlow, and PyTorch. Integrated distributed processing frameworks and containerized deployments across Azure and GCP. Automated compliance, testing, and monitoring to ensure uptime and secure handling of clinical data. Collaborated with stakeholders to optimize healthcare ML pipelines using Lean Six Sigma methodologies.

Python Developer at Kroger

May 1, 2020 - September 4, 2025

Engineered Python based solutions for retail automation, analytics and operational insight. Developed scalable Django and Flask applications integrating REST and SOAP APIs. Automated ETL workflows and containerized deployments on AWS and Azure. Created real-time dashboards and applied statistical modeling for customer churn and sales forecasting. Implemented CI/CD pipelines ensuring secure, reliable retail automation under compliance guidelines.

Full Stack Developer at Hexagon

July 1, 2018 - September 4, 2025

Developed full stack enterprise web applications supporting engineering and geospatial workflows. Built front-end interfaces with AngularJS, ReactJS and backend services with Java Spring and .NET Core. Implemented REST and SOAP middleware integrations and optimized SQL and NoSQL databases. Automated deployments and CI/CD with Docker, Kubernetes, and Jenkins across AWS and Azure cloud. Delivered business intelligence dashboards and integrated predictive analytics features.

Senior AI/ML Engineer at AT&T

April 1, 2024 - Present

Led enterprise AI/ML engineering initiatives focusing on predictive analytics, generative AI, and automation across telecom operations. Designed and deployed scalable machine learning models and embedded GenAI, LLM, and OpenAI frameworks for NLP, recommendation, and anomaly detection. Built middleware integrations and containerized deployments on multi-cloud platforms. Automated CI/CD pipelines for continuous experimentation and production model retraining while delivering interactive BI dashboards and ensuring security compliance.

Data Scientist at Sentara

April 1, 2024 - September 4, 2025

Developed AI/ML-driven healthcare analytics solutions focused on predictive modeling, clinical data mining, and operational optimization. Built scalable pipelines and predictive models for patient risk stratification and outcome prediction. Implemented containerized deployments and automated model retraining on cloud platforms with interactive dashboards for clinical stakeholders. Ensured compliance with healthcare regulations and embedded generative AI solutions for clinical documentation and virtual assistance.

AI/ML Engineer at State of WY (DOH)

June 1, 2022 - September 4, 2025

Engineered AI/ML healthcare analytics platforms for public health, developing predictive and prescriptive models for disease prediction and population health management. Integrated large-scale data processing tools and deployed containerized AI solutions with multi-cloud support. Automated ML pipelines with compliance to healthcare data governance and embedded generative AI for case reporting and medical document processing. Collaborated extensively with public health stakeholders for solution delivery.

Python Developer at Kroger

May 1, 2020 - September 4, 2025

Developed Python-based retail automation and analytics applications to streamline supply chain, inventory management, and customer analytics. Built scalable APIs and containerized deployments with cloud integration. Automated CI/CD pipelines, optimized databases, and created interactive dashboards for real-time retail insights. Ensured application security and compliance while applying statistical modeling for demand forecasting and churn analysis.

Full Stack Developer at Hexagon

July 1, 2018 - September 4, 2025

Developed full-stack enterprise web applications for engineering and geospatial workflows using AngularJS, ReactJS, Java, and .NET Core. Built REST and SOAP APIs, optimized databases, containerized applications, and automated deployments. Delivered BI dashboards and integrated predictive analytics. Managed CI/CD pipelines and monitored enterprise systems to ensure scalable and secure application delivery.