Hi, I'm Likhitha Bompelly, an AI Engineer with over four years of experience in designing, developing, and deploying machine learning models for various tasks such as forecasting, recommendations, and classification. I'm passionate about working with large-scale datasets and optimizing model performance using Python, TensorFlow, and PyTorch. I enjoy collaborating with cross-functional teams to integrate intelligent solutions into real-world applications. Throughout my career, I have built and deployed scalable machine learning systems using cloud platforms like AWS and Azure, focusing on generative AI and natural language processing frameworks. I strive to deliver actionable insights and innovative AI services that help businesses make data-driven decisions and improve operational effectiveness.

Likhitha Bompelly

Hi, I'm Likhitha Bompelly, an AI Engineer with over four years of experience in designing, developing, and deploying machine learning models for various tasks such as forecasting, recommendations, and classification. I'm passionate about working with large-scale datasets and optimizing model performance using Python, TensorFlow, and PyTorch. I enjoy collaborating with cross-functional teams to integrate intelligent solutions into real-world applications. Throughout my career, I have built and deployed scalable machine learning systems using cloud platforms like AWS and Azure, focusing on generative AI and natural language processing frameworks. I strive to deliver actionable insights and innovative AI services that help businesses make data-driven decisions and improve operational effectiveness.

Available to hire

Hi, I’m Likhitha Bompelly, an AI Engineer with over four years of experience in designing, developing, and deploying machine learning models for various tasks such as forecasting, recommendations, and classification. I’m passionate about working with large-scale datasets and optimizing model performance using Python, TensorFlow, and PyTorch. I enjoy collaborating with cross-functional teams to integrate intelligent solutions into real-world applications.

Throughout my career, I have built and deployed scalable machine learning systems using cloud platforms like AWS and Azure, focusing on generative AI and natural language processing frameworks. I strive to deliver actionable insights and innovative AI services that help businesses make data-driven decisions and improve operational effectiveness.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Fluent
Afar
Advanced

Work Experience

Generative AI Engineer at M&T Bank
January 1, 2025 - Present
Queried and extracted logs from BPM and MTAS databases using PostgreSQL, Cassandra, and SQL Developer tools to support data-driven ML model development. Engineered data cleaning processes by converting raw data into structured formats, removing outliers, and imputing missing values while performing exploratory data analysis using R and Tableau. Utilized libraries such as NumPy, Pandas, SciKit-learn, Matplotlib, and Seaborn to preprocess large datasets. Applied supervised, unsupervised, and reinforcement learning techniques to design predictive models. Developed and deployed ML and deep learning models including Logistic Regression, Random Forest, Gradient Boosting Machines, and SVM. Built, trained, and deployed models on AWS using SageMaker, leveraging Grid Search CV and SMOTE for tuning. Automated ML model building with data pipelines and integrated continuous deployment using GitLab and Docker. Managed project workflows using Jira and presented insights with Tableau. Implemented prom
Machine Learning Engineer at New York Life Insurance Company
December 31, 2024 - July 24, 2025
Standardized prompt engineering frameworks for LLM APIs to ensure consistent output quality and reduce hallucinations. Collaborated with ML Engineers and Data Scientists to build data and model pipelines and conducted machine learning tests on structured and unstructured datasets. Implemented large-scale deep learning and machine learning algorithms to generate insights meeting business requirements. Applied predictive modeling, text mining, and forecasting techniques for strategic decision-making. Designed flexible ML and NLP frameworks and ensured compliance with internal policies and regulations using cloud-native MLOps tools like Azure ML and Vertex AI. Enhanced natural language understanding models, synthesized results into actionable recommendations, and created elegant data visualizations using SQL and Tableau. Constructed efficient ETL infrastructure and built SQL databases and Excel spreadsheets to integrate ML outputs into business operations. Developed a cost-effective Data
Data Scientist at Broadridge Financial Solutions
December 31, 2022 - July 24, 2025
Developed data analysis models according to business scenarios and evaluated methods and technical solutions for analytics projects. Acted as a business consultant for leveraging data analytics to drive business decisions and strategy. Applied supervised, unsupervised, and reinforcement learning techniques to translate business needs into technical implementations. Used predictive analytics with a minimum 90% accuracy to forecast company sales of new products. Designed data visualizations with Tableau to present complex analysis and insights. Experienced in working with Azure LUIS APIs for language detection and entity recognition, designed and tested Azure chatbot solutions. Analyzed large volumes of structured and unstructured data using Python, R, SAS, SQL, and Hadoop ecosystem technologies related to anomaly detection, trend analysis, and data mining.
Data Scientist at Amazon.com, Inc
June 30, 2022 - July 24, 2025
Owned the development of in-memory processing solutions using Apache Ignite and Apache Spark for credit card risk analytics. Led the development of ML toolkits for identifying consumer trends using payment data. Employed predictive analytics for credit card fraud data with future forecasting capabilities. Managed AWS resources including Code Commit, S3, DynamoDB, and Glue crawler. Developed neural networks using Keras API, including LSTM with attention and bidirectional GRU for survey classification tasks. Deployed text classification models as web services and refined predictive models to optimize customer experiences and business outcomes. Partnered with business clients to understand needs and deliver analytics solutions. Led project teams and conducted interviews with subject matter experts for valid analysis context.

Education

Masters at SUNY Polytechnic Institute University
January 1, 2023 - December 31, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Transportation & Logistics, Travel & Hospitality, Healthcare

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate