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

I am an AI/ML Engineer with 8+ years of experience designing, developing, and deploying machine learning models across domains such as NLP, computer vision, and time-series forecasting. I specialize in the full ML lifecycle, from data preprocessing to production deployment using tools like TensorFlow, PyTorch, Scikit-learn, and MLflow. I thrive on turning complex data into practical solutions that drive business outcomes. I have hands-on experience in Python and R, building scalable ML pipelines, fine-tuning transformer-based models, and delivering real-time inference systems with low latency. I am proficient with MLOps practices, collaborate effectively with cross-functional teams, and stay current with AI research to tackle real-world challenges in healthcare, retail, and finance.…I am an AI/ML Engineer with 8+ years of experience designing, developing, and deploying machine learning models across domains such as NLP, computer vision, and time-series forecasting. I specialize in the full ML lifecycle, from data preprocessing to production deployment using tools like TensorFlow, PyTorch, Scikit-learn, and MLflow. I thrive on turning complex data into practical solutions that drive business outcomes. I have hands-on experience in Python and R, building scalable ML pipelines, fine-tuning transformer-based models, and delivering real-time inference systems with low latency. I am proficient with MLOps practices, collaborate effectively with cross-functional teams, and stay current with AI research to tackle real-world challenges in healthcare, retail, and finance.

Likhitha Nallani

Data Scientist, AI Engineer, AI Developer, +2





I am an AI/ML Engineer with 8+ years of experience designing, developing, and deploying machine learning models across domains such as NLP, computer vision, and time-series forecasting. I specialize in the full ML lifecycle, from data preprocessing to production deployment using tools like TensorFlow, PyTorch, Scikit-learn, and MLflow. I thrive on turning complex data into practical solutions that drive business outcomes. I have hands-on experience in Python and R, building scalable ML pipelines, fine-tuning transformer-based models, and delivering real-time inference systems with low latency. I am proficient with MLOps practices, collaborate effectively with cross-functional teams, and stay current with AI research to tackle real-world challenges in healthcare, retail, and finance.…I am an AI/ML Engineer with 8+ years of experience designing, developing, and deploying machine learning models across domains such as NLP, computer vision, and time-series forecasting. I specialize in the full ML lifecycle, from data preprocessing to production deployment using tools like TensorFlow, PyTorch, Scikit-learn, and MLflow. I thrive on turning complex data into practical solutions that drive business outcomes. I have hands-on experience in Python and R, building scalable ML pipelines, fine-tuning transformer-based models, and delivering real-time inference systems with low latency. I am proficient with MLOps practices, collaborate effectively with cross-functional teams, and stay current with AI research to tackle real-world challenges in healthcare, retail, and finance.

Available to hire

I am an AI/ML Engineer with 8+ years of experience designing, developing, and deploying machine learning models across domains such as NLP, computer vision, and time-series forecasting. I specialize in the full ML lifecycle, from data preprocessing to production deployment using tools like TensorFlow, PyTorch, Scikit-learn, and MLflow. I thrive on turning complex data into practical solutions that drive business outcomes.

I have hands-on experience in Python and R, building scalable ML pipelines, fine-tuning transformer-based models, and delivering real-time inference systems with low latency. I am proficient with MLOps practices, collaborate effectively with cross-functional teams, and stay current with AI research to tackle real-world challenges in healthcare, retail, and finance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior AI/ML Engineer at Molina Healthcare

June 1, 2024 - Present

Lead design, development, and deployment of scalable ML models for healthcare applications, including predictive analytics, claims fraud detection, and member risk stratification. Develop end-to-end ML pipelines using Apache Airflow, MLflow, and Kubernetes for model training, evaluation, and deployment. Apply NLP on unstructured medical records and provider notes. Build and scale models (e.g., Logistic Regression, Random Forest, Gradient Boosting, SVM) and fine-tune transformer-based NLP models. Deploy models on AWS SageMaker; integrate with GitLab for CI/CD; create data visualizations for stakeholders and operational teams.

AI/ML Engineer at Kroger retail

May 1, 2024 - October 15, 2025

Designed and implemented PoC for inventory purchase forecasting to reduce food waste. Built and evaluated ML models (Linear Regression, Random Forest, CatBoost, LightGBM, XGBoost) with time-series approaches (ARIMA/ARIMAX). Conducted hyperparameter tuning via Grid Search and Randomized Search. Leveraged Azure Cognitive Services for CV tasks and LUIS for language understanding. Implemented real-time inference using FastAPI and TensorRT (latency < 100ms). Developed personalized recommendations and customer segmentation; created scalable ML pipelines with Python, Spark, Airflow, and Docker; tracked experiments with MLflow and deployed pipelines as containerized services. Collaborated with data engineering and analytics teams; produced dashboards for stakeholders and applied Explainable AI techniques.

Data Scientist / ML Engineer at Fannie Mae

March 1, 2022 - October 15, 2025

Collaborated with ML Engineers and Data Scientists to build data and model pipelines; performed data extraction, cleaning, exploration, and visualization. Implemented large-scale deep learning and ML algorithms for image recognition, NLP, and time-series forecasting. Built NLP pipelines (sentiment analysis, NER, summarization) using spaCy, NLTK, and Hugging Face Transformers; developed dashboards in Tableau/Power BI/Streamlit; conducted A/B testing to guide data-driven decisions. Deployed APIs for NLP models, performed feature engineering, and contributed to credit risk and mortgage-related modeling efforts.

Data Scientist at Innova Solutions

August 1, 2019 - October 15, 2025

Acted as a business consultant for data analytics to drive business decisions and strategy. Applied ML approaches (supervised/unsupervised/reinforcement learning) to improve outcomes, conducted EDA and statistical modeling, and delivered dashboards and visualizations. Built interactive dashboards, contributed to reusable libraries for data preprocessing and modeling, and ensured data privacy and compliance during model development and deployment.