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I am an AI/ML Engineer with around 9 years of experience designing, developing, and deploying machine learning and deep learning models to solve complex business problems. My expertise lies in data preprocessing, model optimization, and MLOps with proficiency in Python, TensorFlow, PyTorch, and NLP techniques. I have built NLP pipelines and computer vision solutions, deployed recommendation systems, and worked extensively with cloud platforms and big data ecosystems. I am passionate about leveraging cutting-edge AI technologies including Generative AI and LLM fine-tuning to create scalable, interpretable, and compliant enterprise AI applications. Through collaboration with cross-functional teams, I deliver end-to-end AI solutions from data ingestion to production deployment, driving data-driven decision-making and business impact.…I am an AI/ML Engineer with around 9 years of experience designing, developing, and deploying machine learning and deep learning models to solve complex business problems. My expertise lies in data preprocessing, model optimization, and MLOps with proficiency in Python, TensorFlow, PyTorch, and NLP techniques. I have built NLP pipelines and computer vision solutions, deployed recommendation systems, and worked extensively with cloud platforms and big data ecosystems. I am passionate about leveraging cutting-edge AI technologies including Generative AI and LLM fine-tuning to create scalable, interpretable, and compliant enterprise AI applications. Through collaboration with cross-functional teams, I deliver end-to-end AI solutions from data ingestion to production deployment, driving data-driven decision-making and business impact.

Lakshmi Narayana Nadimpalli

AI Engineer, Data Scientist, Developer, +1

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I am an AI/ML Engineer with around 9 years of experience designing, developing, and deploying machine learning and deep learning models to solve complex business problems. My expertise lies in data preprocessing, model optimization, and MLOps with proficiency in Python, TensorFlow, PyTorch, and NLP techniques. I have built NLP pipelines and computer vision solutions, deployed recommendation systems, and worked extensively with cloud platforms and big data ecosystems. I am passionate about leveraging cutting-edge AI technologies including Generative AI and LLM fine-tuning to create scalable, interpretable, and compliant enterprise AI applications. Through collaboration with cross-functional teams, I deliver end-to-end AI solutions from data ingestion to production deployment, driving data-driven decision-making and business impact.…I am an AI/ML Engineer with around 9 years of experience designing, developing, and deploying machine learning and deep learning models to solve complex business problems. My expertise lies in data preprocessing, model optimization, and MLOps with proficiency in Python, TensorFlow, PyTorch, and NLP techniques. I have built NLP pipelines and computer vision solutions, deployed recommendation systems, and worked extensively with cloud platforms and big data ecosystems. I am passionate about leveraging cutting-edge AI technologies including Generative AI and LLM fine-tuning to create scalable, interpretable, and compliant enterprise AI applications. Through collaboration with cross-functional teams, I deliver end-to-end AI solutions from data ingestion to production deployment, driving data-driven decision-making and business impact.

Available to hire

I am an AI/ML Engineer with around 9 years of experience designing, developing, and deploying machine learning and deep learning models to solve complex business problems. My expertise lies in data preprocessing, model optimization, and MLOps with proficiency in Python, TensorFlow, PyTorch, and NLP techniques. I have built NLP pipelines and computer vision solutions, deployed recommendation systems, and worked extensively with cloud platforms and big data ecosystems.

I am passionate about leveraging cutting-edge AI technologies including Generative AI and LLM fine-tuning to create scalable, interpretable, and compliant enterprise AI applications. Through collaboration with cross-functional teams, I deliver end-to-end AI solutions from data ingestion to production deployment, driving data-driven decision-making and business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

AI/ML Engineer at Johnson & Johnson

June 1, 2024 - Present

Developed deep learning models using CNNs, RNNs, LSTMs, and Transformers for computer vision, NLP, and speech recognition applications. Built recommendation engines and time-series forecasting models. Automated model training and hyperparameter tuning. Leveraged Generative AI techniques including LLM fine-tuning for enterprise automation. Deployed models using MLOps best practices on AWS and Azure cloud platforms. Created NLP pipelines and computer vision solutions, implemented explainability and fairness analysis. Managed big data workflows with Spark, Hadoop, and Kafka. Applied ensemble learning and unsupervised learning for business KPIs. Collaborated with cross-functional teams to integrate AI solutions and visualized insights with Power BI and Tableau.

ML Engineer at Wells Fargo

May 31, 2024 - September 5, 2025

Designed, developed, and deployed end-to-end machine learning solutions for data ingestion, preprocessing, training, and production deployment. Built data pipelines using Python, SQL, Spark, and Airflow. Applied machine learning algorithms including Random Forest, XGBoost, and Neural Networks. Designed deep learning architectures for computer vision, NLP, and time-series. Performed hyperparameter tuning and model optimization. Integrated MLOps practices with Docker, Kubernetes, MLflow, and CI/CD. Developed federated learning architectures and optimized data preprocessing. Deployed real-time recommendation engines and leveraged cloud platforms including AWS, GCP, and Azure. Collaborated cross-functionally and built interactive dashboards for real-time visualization.

Data Scientist at MetLife

April 30, 2022 - September 5, 2025

Designed and developed end-to-end data science solutions for business-critical use cases including data preprocessing, feature engineering, model development, and deployment. Conducted EDA and applied statistical modeling. Built machine learning models for classification and regression using Scikit-learn, XGBoost, and LightGBM. Developed NLP pipelines and knowledge graphs. Built scalable data science platforms using Databricks, Snowflake, and AWS Glue. Deployed graph-based ML algorithms for fraud detection and social network analysis. Applied Bayesian modeling and conducted business impact analysis. Created real-time analytics by integrating streaming data pipelines. Collaborated with cross-functional teams to deliver data-driven solutions.

Data Scientist at Walgreens Boots Alliance

February 29, 2020 - September 5, 2025

Designed automated anomaly detection systems for fraud prevention and predictive maintenance. Implemented unsupervised learning for market segmentation and customer profiling. Deployed generative AI models for text summarization and content generation. Developed real-time predictive analytics with Kafka and Spark Streaming. Conducted model benchmarking and causal inference analysis. Designed feature stores and MLOps pipelines integrating CI/CD workflows on cloud platforms. Applied AutoML solutions and demand forecasting models for retail analytics. Built chatbot analytics and performed network analysis for fraud detection. Designed churn prediction and sentiment analysis pipelines enhancing brand reputation management.

Data Analyst at Innova Solutions

June 30, 2018 - September 5, 2025

Designed and developed interactive dashboards in Tableau, Power BI, and Looker. Wrote complex SQL queries for data extraction and transformation. Conducted exploratory data analysis and statistical techniques for strategic decision-making. Developed ETL pipelines using SSIS and Apache Airflow. Created real-time analytics dashboards integrating APIs and streaming data. Collaborated with data engineers to improve data workflows and governance. Applied predictive analytics for sales and operations forecasting. Built automated reporting systems and provided training on BI tools. Assisted in data migration and created self-service analytics enabling independent data exploration for business teams.