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I am an AI/ML Engineer with more than five years of experience building applied AI systems, LLM orchestration workflows, retrieval-augmented generation pipelines, and enterprise data solutions. My work spans financial services, healthcare, higher education, and enterprise technology, with a focus on reliable, production-ready systems that improve reasoning quality, retrieval relevance, and operational efficiency. I enjoy turning complex business and technical requirements into practical machine learning solutions. I bring hands-on experience with Python, SQL, data ingestion, feature engineering, semantic retrieval, prompt optimization, model evaluation, and LLMOps practices. I am especially interested in AI/ML engineering, LLM infrastructure, and applied AI systems where thoughtful design, strong governance, and measurable results come together.…I am an AI/ML Engineer with more than five years of experience building applied AI systems, LLM orchestration workflows, retrieval-augmented generation pipelines, and enterprise data solutions. My work spans financial services, healthcare, higher education, and enterprise technology, with a focus on reliable, production-ready systems that improve reasoning quality, retrieval relevance, and operational efficiency. I enjoy turning complex business and technical requirements into practical machine learning solutions. I bring hands-on experience with Python, SQL, data ingestion, feature engineering, semantic retrieval, prompt optimization, model evaluation, and LLMOps practices. I am especially interested in AI/ML engineering, LLM infrastructure, and applied AI systems where thoughtful design, strong governance, and measurable results come together.

Sanvitha Reddy

AI Engineer, Data Scientist, AI Developer, +3

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I am an AI/ML Engineer with more than five years of experience building applied AI systems, LLM orchestration workflows, retrieval-augmented generation pipelines, and enterprise data solutions. My work spans financial services, healthcare, higher education, and enterprise technology, with a focus on reliable, production-ready systems that improve reasoning quality, retrieval relevance, and operational efficiency. I enjoy turning complex business and technical requirements into practical machine learning solutions. I bring hands-on experience with Python, SQL, data ingestion, feature engineering, semantic retrieval, prompt optimization, model evaluation, and LLMOps practices. I am especially interested in AI/ML engineering, LLM infrastructure, and applied AI systems where thoughtful design, strong governance, and measurable results come together.…I am an AI/ML Engineer with more than five years of experience building applied AI systems, LLM orchestration workflows, retrieval-augmented generation pipelines, and enterprise data solutions. My work spans financial services, healthcare, higher education, and enterprise technology, with a focus on reliable, production-ready systems that improve reasoning quality, retrieval relevance, and operational efficiency. I enjoy turning complex business and technical requirements into practical machine learning solutions. I bring hands-on experience with Python, SQL, data ingestion, feature engineering, semantic retrieval, prompt optimization, model evaluation, and LLMOps practices. I am especially interested in AI/ML engineering, LLM infrastructure, and applied AI systems where thoughtful design, strong governance, and measurable results come together.

Available to hire

I am an AI/ML Engineer with more than five years of experience building applied AI systems, LLM orchestration workflows, retrieval-augmented generation pipelines, and enterprise data solutions. My work spans financial services, healthcare, higher education, and enterprise technology, with a focus on reliable, production-ready systems that improve reasoning quality, retrieval relevance, and operational efficiency.

I enjoy turning complex business and technical requirements into practical machine learning solutions. I bring hands-on experience with Python, SQL, data ingestion, feature engineering, semantic retrieval, prompt optimization, model evaluation, and LLMOps practices. I am especially interested in AI/ML engineering, LLM infrastructure, and applied AI systems where thoughtful design, strong governance, and measurable results come together.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Senior AI Engineer (Agentic) at Citi Bank

November 1, 2025 - Present

Architected agentic workflows using deterministic state-machine guardrails for multi-step LLM decision chains in financial services. Designed enterprise RAG pipelines with hybrid dense and sparse retrieval over internal documents, implemented function-calling integrations with APIs and structured data sources, and established automated evaluation loops using Ragas and TruLens. Reduced production inference cost and latency through quantization and prompt caching. Managed context-window budgets and semantic chunking, partnered with risk and compliance stakeholders on auditable guardrails, and maintained CI/CD pipelines with automated evaluation gates.

AI Engineer at Optum

February 1, 2025 - November 1, 2025

Developed machine learning pipelines for healthcare data processing, combining structured and unstructured clinical data into model-ready datasets. Built RAG systems using vector databases to surface relevant clinical documentation for LLM reasoning. Created prompt optimization workflows, engineered ingestion and preprocessing pipelines for longitudinal patient and claims data under PHI constraints, and deployed and monitored production ML models. Applied semantic chunking and context-window management to improve retrieval accuracy and documented evaluation results and retrieval architecture for audit and compliance reviews.

AI Researcher at University of Illinois

August 1, 2024 - December 1, 2024

Researched LLM orchestration and RAG architectures for unstructured academic corpora. Designed and evaluated semantic chunking strategies for long-document question answering, prototyped function-calling and multi-step reasoning workflows, and built automated evaluation frameworks for output quality, factual grounding, and retrieval relevance. Investigated quantization trade-offs, benchmarked hybrid dense and sparse retrieval configurations with vector database backends, and presented findings on LLM context management and retrieval architecture.

Data Scientist at Tata Consultancy Services (TCS)

June 1, 2021 - June 1, 2023

Built machine learning pipelines for structured enterprise data, including ingestion, preprocessing, feature engineering, and model training within ERP-integrated systems. Designed data validation workflows for large transactional datasets and implemented SQL-based extraction and transformation processes for analytics and predictive modeling. Applied statistical analysis and Python-based modeling to support operational decisions, automated recurring data pipeline and reporting workflows, and supported incident management and troubleshooting for SAP-integrated data pipelines.