Open to opportunities

Veepura chari Dharmavarapu

@veepuracharidharmava

Message

Data scientist specializing in scalable ML, transformer models, and production AI.

United States

Message

What I'm looking for

I am seeking a role building production-grade ML and AI systems (NLP/LLMs/RAG) with collaborative teams, strong MLOps, and opportunities to optimize performance and governance.

I am a data scientist with 4+ years of experience building machine learning, deep learning, and AI solutions for large-scale data environments.

I design and deploy transformer-based models, multimodal AI systems, and retrieval-augmented generation (RAG) pipelines that integrate structured and unstructured data. I have built production-grade ML systems using Python, SQL, and cloud platforms including Microsoft Azure and AWS.

I collaborate with cross-functional teams to translate research and domain questions into scalable AI solutions, author technical documentation, and present results through dashboards and reports. I have experience implementing end-to-end ML workflows, monitoring model performance, and applying MLOps best practices.

My background covers NLP, embedding-based retrieval, model deployment, monitoring, and safety/governance practices; I prioritize robust evaluation, drift detection, and performance optimization when delivering production ML systems.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

HMS

Oct 2024 - Present (1 year 5 months)

Designed and deployed transformer-based NLP and deep learning models using RAG architectures to extract insights from large-scale healthcare and operational datasets, and integrated models into production pipelines with continuous monitoring.

Python TensorFlow PyTorch RAG NLP Azure SQL Monitoring

Data Scientist

Nike - Cognizant

May 2021 - Jan 2023 (1 year 8 months)

Developed predictive and NLP models including embedding-based retrieval systems and distributed data processing workflows to support large-scale analytics and operational decision-making.

Python NLP Embeddings Distributed Data Processing SQL Hyperparameter Tuning Model Evaluation

Cloud Data & ML Engineer

RBS (Ahold Delhaize) - Cognizant

Aug 2020 - May 2021 (9 months)

Built Azure-based data pipelines and NLP models for predictive analytics and operational forecasting, performing feature engineering, validation, and integration with scalable ML infrastructure.

Azure Python NLP predictive modeling SQL Feature Engineering Infrastructure Validation

Data Engineer

Cognizant

Jan 2020 - Aug 2020 (7 months)

Prepared and transformed large retail and supply-chain datasets, built feature engineering pipelines and Spark/Databricks jobs, and supported training and validation of forecasting and classification models.

Python SQL Pandas Spark Databricks EDA scikit learn