Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Data Science & AI professional with around 4 years of experience in designing and deploying scalable AI and ML solutions across NLP, computer vision, and deep learning domains. Proficient in Python, TensorFlow, PyTorch, and Scikit-Learn, with strong expertise in building predictive models and data-driven applications. Skilled in leveraging cloud platforms such as AWS SageMaker and Azure ML, along with MLOps practices using Docker, Kubernetes, and CI/CD pipelines to streamline deployment and monitoring. Experienced in big data technologies, including Spark, Hadoop, and Databricks, as well as real-time analytics using Kafka, Airflow, and Snowflake. Passionate about model optimization, explainability, and driving AI adoption for measurable business transformation.…Data Science & AI professional with around 4 years of experience in designing and deploying scalable AI and ML solutions across NLP, computer vision, and deep learning domains. Proficient in Python, TensorFlow, PyTorch, and Scikit-Learn, with strong expertise in building predictive models and data-driven applications. Skilled in leveraging cloud platforms such as AWS SageMaker and Azure ML, along with MLOps practices using Docker, Kubernetes, and CI/CD pipelines to streamline deployment and monitoring. Experienced in big data technologies, including Spark, Hadoop, and Databricks, as well as real-time analytics using Kafka, Airflow, and Snowflake. Passionate about model optimization, explainability, and driving AI adoption for measurable business transformation.

Bhargavi Karuku

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





Data Science & AI professional with around 4 years of experience in designing and deploying scalable AI and ML solutions across NLP, computer vision, and deep learning domains. Proficient in Python, TensorFlow, PyTorch, and Scikit-Learn, with strong expertise in building predictive models and data-driven applications. Skilled in leveraging cloud platforms such as AWS SageMaker and Azure ML, along with MLOps practices using Docker, Kubernetes, and CI/CD pipelines to streamline deployment and monitoring. Experienced in big data technologies, including Spark, Hadoop, and Databricks, as well as real-time analytics using Kafka, Airflow, and Snowflake. Passionate about model optimization, explainability, and driving AI adoption for measurable business transformation.…Data Science & AI professional with around 4 years of experience in designing and deploying scalable AI and ML solutions across NLP, computer vision, and deep learning domains. Proficient in Python, TensorFlow, PyTorch, and Scikit-Learn, with strong expertise in building predictive models and data-driven applications. Skilled in leveraging cloud platforms such as AWS SageMaker and Azure ML, along with MLOps practices using Docker, Kubernetes, and CI/CD pipelines to streamline deployment and monitoring. Experienced in big data technologies, including Spark, Hadoop, and Databricks, as well as real-time analytics using Kafka, Airflow, and Snowflake. Passionate about model optimization, explainability, and driving AI adoption for measurable business transformation.

Available to hire

Data Science & AI professional with around 4 years of experience in designing and deploying scalable AI and ML solutions across NLP, computer vision, and deep learning domains. Proficient in Python, TensorFlow, PyTorch, and Scikit-Learn, with strong expertise in building predictive models and data-driven applications. Skilled in leveraging cloud platforms such as AWS SageMaker and Azure ML, along with MLOps practices using Docker, Kubernetes, and CI/CD pipelines to streamline deployment and monitoring. Experienced in big data technologies, including Spark, Hadoop, and Databricks, as well as real-time analytics using Kafka, Airflow, and Snowflake. Passionate about model optimization, explainability, and driving AI adoption for measurable business transformation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Afar

Advanced

Work Experience

AI Engineer at CGI

February 1, 2025 - Present

Built and deployed ML models using Python, Scikit-learn, TensorFlow, and PyTorch to detect fraudulent activities, reduce spam, and strengthen security controls. Designed and implemented investment recommendation systems leveraging LLMs, RAG frameworks, chatbots, and Generative AI, improving customer returns and increasing retention rates. Developed hybrid clustering models (K-Means, XGBoost) to analyze 50M+ customer interactions, enhancing product personalization and boosting engagement. Applied feature engineering techniques (intersection, normalization, label encoding) with Scikit-learn to optimize model performance. Created interactive dashboards and visualizations with Tableau and Matplotlib for stakeholder insights. Assisted in fine-tuning and deploying transformer models such as BERT and LLaMA with QLoRA, achieving higher accuracy and reducing inference latency via TensorRT quantization.

Data Scientist at Blue Light IT Solutions

October 1, 2020 - July 1, 2023

Developed predictive models using ML algorithms (linear regression, classification, multivariate regression, Naive Bayes, Random Forests, K-means, KNN, PCA) for reducing fraudulent claims. Built automated SQL pipelines to extract and refresh daily customer profiles, policy eligibility datasets, and quote histories to support real-time scoring. Designed A/B testing experiments to measure uplift between AI-driven recommendations and manual methods, improving offer acceptance and retention. Utilized NLP to extract themes and sentiment from customer service transcripts, contributing to higher customer satisfaction. Performed EDA to detect seasonality, claim surge trends, lapse risks, and fraud-linked patterns influencing personalization logic. Built dashboards with Tableau to communicate insights, and conducted rigorous model validation and hyperparameter tuning.