Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Ajith Kalyan Chowdary Jarugula, a Generative AI Engineer with 10+ years guiding enterprise AI transformations across healthcare, banking, insurance, and retail. I specialize in designing LLM-powered applications, RAG pipelines, and real-time ML platforms that deliver measurable business outcomes. I thrive at the intersection of software engineering and AI strategy, partnering with stakeholders to architect scalable, secure AI systems that integrate with cloud platforms and enterprise APIs. I mentor teams, define AI adoption roadmaps, and deliver production-grade solutions from data pipelines to governance, monitoring, and copilots for agents and customers.…Hi, I’m Ajith Kalyan Chowdary Jarugula, a Generative AI Engineer with 10+ years guiding enterprise AI transformations across healthcare, banking, insurance, and retail. I specialize in designing LLM-powered applications, RAG pipelines, and real-time ML platforms that deliver measurable business outcomes. I thrive at the intersection of software engineering and AI strategy, partnering with stakeholders to architect scalable, secure AI systems that integrate with cloud platforms and enterprise APIs. I mentor teams, define AI adoption roadmaps, and deliver production-grade solutions from data pipelines to governance, monitoring, and copilots for agents and customers.

Ajith Kalyan Chowdary Jarugula

AI Engineer, AI Developer, Data Scientist, +2





Hi, I’m Ajith Kalyan Chowdary Jarugula, a Generative AI Engineer with 10+ years guiding enterprise AI transformations across healthcare, banking, insurance, and retail. I specialize in designing LLM-powered applications, RAG pipelines, and real-time ML platforms that deliver measurable business outcomes. I thrive at the intersection of software engineering and AI strategy, partnering with stakeholders to architect scalable, secure AI systems that integrate with cloud platforms and enterprise APIs. I mentor teams, define AI adoption roadmaps, and deliver production-grade solutions from data pipelines to governance, monitoring, and copilots for agents and customers.…Hi, I’m Ajith Kalyan Chowdary Jarugula, a Generative AI Engineer with 10+ years guiding enterprise AI transformations across healthcare, banking, insurance, and retail. I specialize in designing LLM-powered applications, RAG pipelines, and real-time ML platforms that deliver measurable business outcomes. I thrive at the intersection of software engineering and AI strategy, partnering with stakeholders to architect scalable, secure AI systems that integrate with cloud platforms and enterprise APIs. I mentor teams, define AI adoption roadmaps, and deliver production-grade solutions from data pipelines to governance, monitoring, and copilots for agents and customers.

Available to hire

Hi, I’m Ajith Kalyan Chowdary Jarugula, a Generative AI Engineer with 10+ years guiding enterprise AI transformations across healthcare, banking, insurance, and retail. I specialize in designing LLM-powered applications, RAG pipelines, and real-time ML platforms that deliver measurable business outcomes.

I thrive at the intersection of software engineering and AI strategy, partnering with stakeholders to architect scalable, secure AI systems that integrate with cloud platforms and enterprise APIs. I mentor teams, define AI adoption roadmaps, and deliver production-grade solutions from data pipelines to governance, monitoring, and copilots for agents and customers.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Generative AI Engineer (Enterprise AI Transformation Lead) at CVS

February 1, 2025 - Present

Led end-to-end delivery of a real-time Call Center Agent Assist Copilot by designing a secure RAG workflow that generated grounded answers during live patient calls. Architected the solution with Python, FastAPI, and enterprise-grade REST APIs for low-latency orchestration of retrieval, summarization, and response generation. Built ingestion pipelines for knowledge sources (scripts, policies, FAQs) using AWS Lambda/S3 and automated parsing workflows to keep content updated. Implemented intelligent retrieval using Vector Databases with tuned embeddings and chunking logic, improving precision and reducing irrelevant citations. Developed prompt governance, agent-facing UI components, and live response streaming; integrated with Salesforce Service Cloud/CTI; established RBAC and audit logging. Delivered observability, evaluation pipelines, and cost optimizations.

Principal AI Engineer/Architect at US Bank

November 1, 2023 - February 1, 2025

Led a fraud-ops LLM Decision Support platform by designing secure RAG workflows that generated investigator-ready insights from historical fraud patterns, playbooks, and case notes. Architected backend orchestration with Python, FastAPI, and scalable REST APIs to support grounded summaries and next-best-action recommendations. Built structured ingestion for fraud data using Spark/PySpark and AWS S3; implemented semantic + hybrid retrieval with vector databases and optimized embeddings. Enabled tool-driven reasoning via LangChain, enforced deterministic JSON outputs, and delivered real-time fraud case summaries with secure access controls, PII redaction, and auditable logs. Implemented real-time observability and evaluation pipelines, cost optimizations, and CI/CD pipelines for regulated deployments.

Senior Data Engineer – Machine Learning Specialist at Albertsons Safeway

April 1, 2018 - June 1, 2020

Led production-grade Fraud Detection and Claims Risk Scoring platform, building scalable ML pipelines integrated into claims workflows. Designed core ML architecture (Scikit-learn, XGBoost, LightGBM) with real-time scoring services via FastAPI, and batch inference for alerts. Built feature engineering frameworks, deployed models with Docker/Kubernetes, and implemented CI/CD for ML services. Established model monitoring, drift detection, SHAP explanations, and dashboards for investigators. Integrated streaming events via Kafka and ensured secure access with OAuth 2.0/JWT/RBAC.

Data Engineer at Optimum Info System Pvt Ltd

August 1, 2015 - January 1, 2018

Led Enterprise Demand Forecasting and Inventory Optimization by building data engineering and ML pipelines across warehouses. Ingested data via S3/Glue, processed with Spark/PySpark, and engineered time-series features for Prophet, XGBoost, and LightGBM. Implemented ML lifecycle via MLflow, deployed inference services with FastAPI, and orchestrated batch/streaming workflows with Airflow and Kafka. Established data quality with Great Expectations and built governance/analytics layers in Snowflake.