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I am an Enterprise AI Systems Engineer with 4+ years of experience building production-grade AI platforms for regulated industries such as banking and healthcare. I specialize in designing retrieval-augmented generation (RAG) systems, agentic AI, and LLMOps pipelines that empower risk, legal, and compliance teams. I thrive in cross-functional teams, delivering secure, auditable AI with guardrails and explainability. I enjoy architecting scalable solutions from data ingestion to model deployment and continuously refining prompts and workflows to boost accuracy and efficiency.…I am an Enterprise AI Systems Engineer with 4+ years of experience building production-grade AI platforms for regulated industries such as banking and healthcare. I specialize in designing retrieval-augmented generation (RAG) systems, agentic AI, and LLMOps pipelines that empower risk, legal, and compliance teams. I thrive in cross-functional teams, delivering secure, auditable AI with guardrails and explainability. I enjoy architecting scalable solutions from data ingestion to model deployment and continuously refining prompts and workflows to boost accuracy and efficiency.

Vamshi Krishna

AI Strategy Consultant, Data Scientist, AI Engineer, +7

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I am an Enterprise AI Systems Engineer with 4+ years of experience building production-grade AI platforms for regulated industries such as banking and healthcare. I specialize in designing retrieval-augmented generation (RAG) systems, agentic AI, and LLMOps pipelines that empower risk, legal, and compliance teams. I thrive in cross-functional teams, delivering secure, auditable AI with guardrails and explainability. I enjoy architecting scalable solutions from data ingestion to model deployment and continuously refining prompts and workflows to boost accuracy and efficiency.…I am an Enterprise AI Systems Engineer with 4+ years of experience building production-grade AI platforms for regulated industries such as banking and healthcare. I specialize in designing retrieval-augmented generation (RAG) systems, agentic AI, and LLMOps pipelines that empower risk, legal, and compliance teams. I thrive in cross-functional teams, delivering secure, auditable AI with guardrails and explainability. I enjoy architecting scalable solutions from data ingestion to model deployment and continuously refining prompts and workflows to boost accuracy and efficiency.

Available to hire

I am an Enterprise AI Systems Engineer with 4+ years of experience building production-grade AI platforms for regulated industries such as banking and healthcare. I specialize in designing retrieval-augmented generation (RAG) systems, agentic AI, and LLMOps pipelines that empower risk, legal, and compliance teams.

I thrive in cross-functional teams, delivering secure, auditable AI with guardrails and explainability. I enjoy architecting scalable solutions from data ingestion to model deployment and continuously refining prompts and workflows to boost accuracy and efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Gen AI Consultant at Citi Bank

August 1, 2024 - Present

Designed and deployed GenAI-driven document summarization systems, integrated OpenAI APIs with banking applications to automate compliance reporting, and enhanced context-aware customer support with LLMs. Developed fine-tuned GPT models for financial forecasting and built secure RAG pipelines, enabling accelerated insights and regulatory governance. Drove cross-team collaboration with cybersecurity and compliance to ensure scalable, auditable AI adoption and achieved substantial operational savings.

AI/ML Consultant at Molina Healthcare

August 1, 2024 - October 15, 2025

Automated claims processing via GenAI and NLP pipelines; implemented AI-powered knowledge assistants for physicians; integrated Azure OpenAI for medical coding automation ensuring ICD-10 compliance. Built summarization pipelines for patient history, enhanced fraud detection, and led the migration of AI models to cloud-native infrastructure with HIPAA and CMS regulation alignment. Delivered PoCs for GenAI-driven call center automation and created real-time performance dashboards.

Support Engineer at Rockline Solutions

December 1, 2022 - October 15, 2025

Built and deployed custom ML models for NLP tasks; designed chatbot solutions for HR/IT support; automated report generation with AI-driven summarization; implemented ETL pipelines and MLOps (MLflow) for continuous improvements. Delivered client-facing dashboards (Tableau) and supported multi-cloud AI deployment strategies to enable scalable AI solutions.

Gen AI Consultant at Citi Bank

August 1, 2024 - Present

Designed and deployed GenAI-driven document summarization systems, reducing legal review times by 40%. Integrated OpenAI APIs with banking applications, automating compliance reporting and regulatory checks. Enhanced customer-facing chatbot with context-aware LLMs, improving resolution rates to 95%. Built secure RAG pipelines using LangChain and vector databases to enable financial data insights. Automated loan approval workflows using NLP-driven document parsing, cutting processing time by 30%. Delivered AI-powered fraud detection models, reducing false positives by 28%. Deployed LLMOps pipelines ensuring continuous monitoring, retraining, and compliance alignment. Collaborated with stakeholders to define AI adoption roadmap aligned with Citi’s digital strategy. Mentored junior AI engineers on prompt engineering, model fine-tuning, and ethical AI use cases. Spearheaded adoption of explainable AI frameworks for audit-friendly transparency. Improved document classification pipelines,

AI/ML Consultant at Molina Healthcare

August 1, 2024 - October 15, 2025

Automated claims processing via GenAI and NLP pipelines, reducing manual review time by 35%. Implemented AI-powered knowledge assistants for physicians, increasing query resolution speed by 40%. Integrated Azure OpenAI services for medical coding automation, ensuring ICD-10 compliance. Developed summarization pipelines for patient history documents, improving physician efficiency by 25%. Enhanced fraud detection with ML-driven anomaly detection, saving $4M annually. Built HIPAA-compliant RAG pipelines for retrieving patient information securely. Led migration of AI models to cloud-native infrastructure, ensuring scalability. Collaborated with doctors and claim processors to design AI-first healthcare solutions. Improved accuracy of predictive models for readmission risks, enabling proactive patient care. Created real-time dashboards in Power BI to monitor AI system performance. Applied MLOps practices for monitoring healthcare AI models post-deployment. Conducted explainability worksho

Support Engineer at Rockline Solutions

December 1, 2022 - October 15, 2025

Built and deployed custom ML models for NLP tasks, improving classification accuracy by 20%. Designed chatbot solutions for HR and IT support, reducing ticket resolution time by 35%. Implemented Python-based ETL pipelines to process structured and unstructured datasets. Enhanced recommendation systems with collaborative filtering and deep learning models. Automated report generation using AI-driven summarization tools, saving 300+ man-hours annually. Integrated OCR and NLP workflows for document digitization projects. Developed ML pipelines with TensorFlow and PyTorch, enabling real-time insights. Partnered with data engineers to optimize data ingestion pipelines for high-volume datasets. Conducted model retraining and hyperparameter optimization for continuous improvements. Delivered client-facing dashboards in Tableau for AI insights and decision-making. Applied MLOps practices with MLflow for model tracking and deployment. Improved customer experience chatbots with fine-tuned transf

Gen AI Engineer at Citi Bank

August 1, 2024 - Present

Architected secure Retrieval-Augmented Generation (RAG) pipelines using LangChain, Azure OpenAI, and FAISS over enterprise banking documents, plus LLM-powered document summarization and classification for legal, risk, and regulatory teams; processed 100K+ documents, reduced manual compliance research time by 55% and cut analyst review effort by 60%. Built React.js front-ends for internal AI tools with FastAPI streaming integrations via WebSockets, delivering responsive UIs adopted by 200+ internal banking users. Built multi-agent Agentic AI systems using LangGraph and Anthropic Claude for autonomous loan underwriting and credit assessment, coordinating document parsing (NER), risk scoring, and policy compliance validation; accelerated decisioning turnaround by 45% and reduced manual analyst touch by 50%. Owned end-to-end MLOps / LLMOps pipelines with Jenkins, Docker, Kubernetes, and MLflow; designed advanced prompt engineering and implemented Responsible AI frameworks to satisfy SOC2 g

AI / ML Engineer at Molina Healthcare

May 1, 2023 - August 1, 2024

Designed and deployed HIPAA-compliant RAG solutions using Azure OpenAI and Pinecone for secure retrieval over patient records and clinical guidelines, supporting 5,000+ providers. Built GenAI-driven claims automation pipelines using NLP and LLMs that reduced manual claims review by 65% and cut turnaround time from days to hours. Developed clinical text summarization pipelines for patient histories, lab results, and physician notes, improving clinician productivity by 40%. Integrated Azure OpenAI Services to automate medical coding and ICD-10 / CPT validation (improved coding accuracy by 32%); enhanced fraud, waste, and abuse (FWA) detection using ML-based anomaly detection ($4M+ annual cost savings), with real-time Power BI dashboards and XAI applied for transparency in claims decisions. Architected CI/CD for ML pipelines using Jenkins, GitHub Actions, MLflow, and Docker to automate training, validation, and HIPAA-compliant deployment of clinical models with PHI-safe encryption and aud

Python Developer at Rockline Solutions

May 1, 2021 - December 1, 2022

Designed and deployed AI-powered chatbots for HR and IT service desks using NLP, intent recognition, and dialog management; reduced ticket resolution time by 50%. Trained text classification, sentiment analysis, and intent detection models using Scikit-learn and Hugging Face Transformers, improving accuracy by 28% over baseline. Built Python ETL pipelines and RESTful APIs (Flask, FastAPI) to serve ML models; containerized via Docker with Jenkins CI/CD and MLflow for experiment tracking. Built Tableau dashboards delivering predictive insights.