Venkata Tharun Rampathoti
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AI/ML Engineer | Generative AI | LLMs | NLP | LangChain | AWS | Python | MLOps
Riverdale, Georgia, United States
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Résumé
Jobs
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AI/ML EngineerTruist BankFeb 2025 - Current (1 year 9 months)Developed an enterprise Generative AI platform for banking operations using LLMs, RAG architecture, and cloud-native MLOps solutions to automate knowledge retrieval, document summarization, and internal support workflows.
• Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using LangChain and vector databases for intelligent document search.
• Integrated Hugging Face transformer models and OpenAI APIs for summarization, question answering, and conversational AI features.
• Built scalable MLOps pipelines using Docker, Kubernetes, GitHub Actions, and AWS SageMaker for automated deployment and monitoring.
• Developed REST APIs and cloud-based inference services for enterprise AI applications with high- Machine Learning EngineerTech MahindraJun 2022 - Dec 2023 (1 year 7 months)Developed AI and Machine Learning solutions for customer analytics, churn prediction, and intelligent recommendation systems for telecom and enterprise clients using cloud-based ML platforms and scalable data engineering solutions.
• Built Machine Learning models using XGBoost, Random Forest, and LightGBM for customer churn prediction and behavioral analytics with improved prediction accuracy.
• Developed NLP-based AI solutions using Python and Scikit-learn for customer sentiment analysis and automated text classification workflows.
• Processed large-scale enterprise datasets using PySpark, SQL, Pandas, and Snowflake for feature engineering and predictive analytics pipelines.
• Designed recommendation systems using colla - Junior Machine Learning EngineerInfosysJan 2021 - May 2022 (1 year 5 months)Built machine learning-driven forecasting and analytics solutions for enterprise reporting, business intelligence, and SAP data integration initiatives.
• Developed regression and forecasting models using Python, Scikit-learn, NumPy, and Pandas for sales prediction analytics.
• Built ETL pipelines using PySpark and SQL for processing and transforming enterprise datasets from multiple sources.
• Implemented data validation and performance optimization techniques on ETL workflows, reducing data processing time and improving overall reporting efficiency across enterprise analytics systems.
• Performed data cleansing, normalization, and feature engineering to improve machine learning model performance.
• Developed Jupyt - Data Engineering InternInvescoJan 2020 - Dec 2020 (1 year)Supported financial data engineering and reporting automation initiatives for investment analytics and operational reporting teams.
• Assisted in developing ETL pipelines for processing financial and investment datasets using SQL and Python.
• Supported SAP full-cycle implementation activities including data migration, validation, and reporting support.
• Used Pandas and NumPy for data cleaning, transformation, and validation of structured financial records.
• Developed automated reporting scripts and dashboards for investment performance analysis.
• Wrote SQL queries for data extraction, aggregation, and reconciliation activities.
• Supported database optimization and data quality improvement initiatives for r
Education
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- Master of Science - MS, Information TechnologyLindsey Wilson UniversityJan 2024 - Dec 2024 (1 year)