Hema

AI/ML Engineer with experience building conversational AI systems, NLP pipelines, and retrieval-augmented knowledge assistants. Skilled in designing intent-driven conversational flows, integrating APIs, and deploying scalable AI services on cloud platforms such as Google Cloud and AWS. Experienced with RAG architectures, embeddings, vector search, and real-time inference systems to power intelligent chatbots and virtual assistants.

Strong collaborator working with product teams, UX designers, and backend engineers to deliver reliable conversational experiences. When I'm not working find me at a coffe shop sipping my favorite matcha and drawing potraits.

Currently at Morgan Stanley, I design and deploy a GenAI-driven decision intelligence platform combining LLMs, NLP, and time-series ML. Enable real-time policy signal extraction and materially improve forecasting accuracy used by institutional investment teams.

Previously at Delta Dental as a data scientist, I focused on development of cloud-native ML and GenAI solutions for intelligent automation and fraud detection. Improved claims accuracy, fraud detection rates, and operational efficiency across enterprise systems.

At Albertsons, as a data scientist, I initiated in developing ML-driven recommendation and predictive systems. Supported growth from 25M to 40M users and drove double-digit digital sales uplift.

As a big data engineer at Jabong.com, to reduce the e-commerce ecosystem, I worked on large-scale data platforms supporting personalization, fraud detection, and operational analytics.

Early in my career as a python developer at Hebeon Technologies, I contributed to the developement of foundational data ingestion and processing systems supporting telecom-scale analytics and reporting.

Master's degree in data science at University of Missouri Kansas City

Bachelor's degree in computer science engineering at Adikavi Nannaya University