Open to opportunities

Varun Nalam

@varunnalam

Message

Data scientist and ML/AI engineer specializing in Generative AI, NLP, and production-grade ML systems.

United States

Message

What I'm looking for

I seek roles building production-grade ML/NLP/Generative AI systems where I can apply LLMs, MLOps, and cloud-native deployment to drive measurable business impact.

I am a data scientist and AI/ML engineer with close to five years of experience building end-to-end machine learning and deep learning solutions across banking, telecom, healthcare, e-commerce, and retail. I specialize in Generative AI and LLMs (GPT-3/4, BERT, T5, LLaMA), NLP pipelines, and deploy scalable, cloud-native AI systems using AWS, Azure, and GCP.

I have designed production systems for fraud detection, real-time underwriting, adaptive pricing, and clinical NLP, and implemented MLOps with MLflow, Airflow, Kubeflow, Docker, and Kubernetes. My work has delivered measurable business impact — for example, reducing fraudulent claims by 40%, cutting claim processing costs by 25%, and improving customer retention by 15% through AI-driven automation and adaptive pricing.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Abbott Laboratories

Jan 2024 - Present (2 years 1 month)

Designed and led an AI-driven real-time underwriting and adaptive pricing system, reducing fraudulent claims by 40% and cutting claim processing costs by 25% while enabling 60% faster claim processing through automation.

NLP BERT LLaMA XGBoost LightGBM CNN (ResNet)AWS Sagemaker Agentic AI

Data Analyst

Fidelity Investments

Aug 2023 - Jan 2024 (5 months)

Built portfolio monitoring dashboards and ML models that improved decision speed by 27% and predicted asset volatility with 85% accuracy, reducing portfolio risk by $150M annually and saving $10M+ via ETL automation.

Power BI Snowflake XGBoost AWS Glue Lambda Airflow SQL REST APIs

Data Scientist / Data Analyst

Thermo Fisher Scientific

Mar 2020 - Nov 2022 (2 years 8 months)

Developed predictive models and ETL automation using Python, improving data quality and efficiency, and built interactive dashboards and APIs to surface actionable insights for stakeholders.