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I am an AI/ML Engineer with over 10 years of progressive experience in designing, building, and deploying advanced machine learning, deep learning, and generative AI solutions. Skilled in leveraging large language models, cloud-native MLOps tools, and scalable architectures, I deliver impactful AI-driven solutions at scale. I excel at bridging AI research with enterprise-grade implementations, working collaboratively with cross-functional teams to transform complex data into actionable business insights. Throughout my career, I have specialized in model optimization, distributed machine learning, and ethical AI practices, while mentoring junior data scientists and driving innovation in domains including automotive, government, and technology sectors. Passionate about emerging technologies, I utilize advanced NLP, computer vision, and reinforcement learning techniques to solve real-world problems effectively and efficiently.…I am an AI/ML Engineer with over 10 years of progressive experience in designing, building, and deploying advanced machine learning, deep learning, and generative AI solutions. Skilled in leveraging large language models, cloud-native MLOps tools, and scalable architectures, I deliver impactful AI-driven solutions at scale. I excel at bridging AI research with enterprise-grade implementations, working collaboratively with cross-functional teams to transform complex data into actionable business insights. Throughout my career, I have specialized in model optimization, distributed machine learning, and ethical AI practices, while mentoring junior data scientists and driving innovation in domains including automotive, government, and technology sectors. Passionate about emerging technologies, I utilize advanced NLP, computer vision, and reinforcement learning techniques to solve real-world problems effectively and efficiently.

Shankar G

Data Scientist, AI Engineer, AI Developer, +1

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I am an AI/ML Engineer with over 10 years of progressive experience in designing, building, and deploying advanced machine learning, deep learning, and generative AI solutions. Skilled in leveraging large language models, cloud-native MLOps tools, and scalable architectures, I deliver impactful AI-driven solutions at scale. I excel at bridging AI research with enterprise-grade implementations, working collaboratively with cross-functional teams to transform complex data into actionable business insights. Throughout my career, I have specialized in model optimization, distributed machine learning, and ethical AI practices, while mentoring junior data scientists and driving innovation in domains including automotive, government, and technology sectors. Passionate about emerging technologies, I utilize advanced NLP, computer vision, and reinforcement learning techniques to solve real-world problems effectively and efficiently.…I am an AI/ML Engineer with over 10 years of progressive experience in designing, building, and deploying advanced machine learning, deep learning, and generative AI solutions. Skilled in leveraging large language models, cloud-native MLOps tools, and scalable architectures, I deliver impactful AI-driven solutions at scale. I excel at bridging AI research with enterprise-grade implementations, working collaboratively with cross-functional teams to transform complex data into actionable business insights. Throughout my career, I have specialized in model optimization, distributed machine learning, and ethical AI practices, while mentoring junior data scientists and driving innovation in domains including automotive, government, and technology sectors. Passionate about emerging technologies, I utilize advanced NLP, computer vision, and reinforcement learning techniques to solve real-world problems effectively and efficiently.

Available to hire

I am an AI/ML Engineer with over 10 years of progressive experience in designing, building, and deploying advanced machine learning, deep learning, and generative AI solutions. Skilled in leveraging large language models, cloud-native MLOps tools, and scalable architectures, I deliver impactful AI-driven solutions at scale. I excel at bridging AI research with enterprise-grade implementations, working collaboratively with cross-functional teams to transform complex data into actionable business insights.

Throughout my career, I have specialized in model optimization, distributed machine learning, and ethical AI practices, while mentoring junior data scientists and driving innovation in domains including automotive, government, and technology sectors. Passionate about emerging technologies, I utilize advanced NLP, computer vision, and reinforcement learning techniques to solve real-world problems effectively and efficiently.

Skills

Experience Level

Expert

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Expert

Work Experience

Sr. Data Scientist at General Motor, Detroit, MI

September 1, 2023 - Present

Led expertise in hyperparameter tuning, model optimization, and deploying machine learning models using cloud-native MLOps tools such as MLflow and SageMaker. Applied graph algorithms and knowledge graphs integrated with machine learning for network-based problems. Built recommender systems using collaborative filtering and hybrid models. Scaled distributed machine learning using Horovod across multiple GPUs and clusters. Collaborated with engineering teams on data bricks for large-scale distributed processing. Utilized Hadoop and MapReduce for big data processing, and deployed models using Docker and Kubernetes. Applied advanced cross-validation, SHAP, and LIME for model interpretability and validation. Worked with real-time data processing frameworks for event stream analytics.

Data Scientist at State of Iowa

July 1, 2023 - August 22, 2025

Implemented advanced machine learning algorithms for predictive analytics and classification tasks, specializing in deep learning frameworks such as TensorFlow, Keras, and PyTorch. Applied NLP methods including sentiment analysis, named entity recognition, and topic modeling. Developed time-series forecasting models using ARIMA, LSTM, and Prophet. Used reinforcement learning for optimizing sequential decision-making. Managed big data processing with Hadoop, Spark, and Kafka. Deployed models on cloud platforms including AWS, Google Cloud, and Azure using Docker and Kubernetes. Created ETL pipelines for data cleaning and feature engineering. Practiced ethical AI, A/B testing, and performance measurement for robust model validation.

Data Scientist at Siemens USA, Washington, DC

November 1, 2020 - August 22, 2025

Specialized in federated learning and decentralized model training to maintain data privacy. Automated neural architecture search (NAS) for optimal neural network design and applied graph neural networks for complex relationship modeling. Used unsupervised deep learning techniques such as autoencoders and GANs for anomaly detection and data augmentation. Integrated multi-modal data and utilized self-supervised learning to enhance model scalability. Developed explainable AI models (XAI) and leveraged Bayesian optimization for decision-making. Applied deep reinforcement learning to dynamic environments and integrated IoT data for predictive maintenance. Managed hybrid models combining statistical and machine learning methodologies and deployed edge AI solutions.

Sr. Data Analyst at Max, India

January 1, 2018 - August 22, 2025

Conducted statistical analysis and predictive modeling to extract insights from structured and unstructured data. Employed machine learning algorithms including regression, decision trees, random forests, and SVM. Automated interactive dashboards and KPIs tracking using Power BI and Tableau. Improved ETL pipeline efficiency by 35% through SQL, Python, and Alteryx. Developed predictive models for customer churn forecasting and optimized retention strategies. Led A/B testing initiatives and implemented data governance best practices. Mentored junior analysts and integrated data from multiple business systems for unified analytics. Worked extensively with big data and distributed computing frameworks.

Data Analyst at Capillary Technologies, Hyderabad

March 1, 2016 - August 22, 2025

Built recommendation systems using collaborative filtering and hybrid approaches. Applied computer vision techniques with OpenCV and TensorFlow for image classification and object detection. Queried and transformed data using SQL with relational databases including MySQL and PostgreSQL. Created interactive dashboards with Tableau and Power BI. Automated ETL processes with Alteryx and Python scripting. Performed statistical analyses and A/B testing to derive business insights. Integrated API data and utilized Google Analytics for performance tracking. Used Git for version control and collaborated in analytics projects within cloud data platforms.