Open to opportunities

Vishwa Bhadiyadara

@vishwabhadiyadara

Message

I build machine learning, NLP, and GenAI products that improve financial and e-commerce decisions.

United States

Message

What I'm looking for

I'm looking to build production machine learning, NLP, and GenAI products that improve business processes and customer experiences, with opportunities to work across data pipelines, model deployment, experimentation, and responsible AI.

At JPMorgan Chase, I build financial AI applications that help analysts retrieve insights across more than 3 million documents. My document search assistant reduced manual research effort by 35%, while NLP routing models achieved a 91% F1-score across compliance, investment, and risk workflows.

Previously at Mphasis, I built e-commerce recommendation and purchase prediction systems that increased product discovery engagement by 18%, identified high-intent users, and contributed $3.2M in revenue opportunities. I also used experimentation, customer segmentation, and behavior analytics to guide product ranking and engagement decisions.

I work across Python, SQL, Spark, Databricks, AWS, LLMs, RAG, and MLOps to take data products from feature engineering through deployment, monitoring, and responsible AI governance.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

JPMorgan Chase & Co.

May 2025 - Present (1 year 3 months)

Architected a financial document search assistant using Python, LangChain, Amazon Bedrock, and FAISS, reducing manual research effort by 35%. Built NLP classification models achieving 91% F1-score and deployed ML/GenAI services with AWS SageMaker, Docker, and Kubernetes.