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Hi, I’m Varsha Ravula, an AI-ML Engineer with 4+ years of experience building and deploying machine learning and GenAI solutions across financial services and healthcare. I specialize in LLM-based workflows, retrieval-augmented generation pipelines, and cloud-native ML platforms on AWS, Azure, and GCP. I enjoy turning complex data into scalable, production-ready solutions while collaborating closely with data scientists and platform teams in regulated environments. I’m passionate about MLOps, CI/CD automation, and observability, and I love designing robust, secure AI systems that drive real business impact. In my spare time, I explore GenAI trends, RAG workflows, and scalable architectures to empower teams and stakeholders.…Hi, I’m Varsha Ravula, an AI-ML Engineer with 4+ years of experience building and deploying machine learning and GenAI solutions across financial services and healthcare. I specialize in LLM-based workflows, retrieval-augmented generation pipelines, and cloud-native ML platforms on AWS, Azure, and GCP. I enjoy turning complex data into scalable, production-ready solutions while collaborating closely with data scientists and platform teams in regulated environments. I’m passionate about MLOps, CI/CD automation, and observability, and I love designing robust, secure AI systems that drive real business impact. In my spare time, I explore GenAI trends, RAG workflows, and scalable architectures to empower teams and stakeholders.

Varsha Ravula

Front-End Developer, Web Developer, Developer, +6

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Hi, I’m Varsha Ravula, an AI-ML Engineer with 4+ years of experience building and deploying machine learning and GenAI solutions across financial services and healthcare. I specialize in LLM-based workflows, retrieval-augmented generation pipelines, and cloud-native ML platforms on AWS, Azure, and GCP. I enjoy turning complex data into scalable, production-ready solutions while collaborating closely with data scientists and platform teams in regulated environments. I’m passionate about MLOps, CI/CD automation, and observability, and I love designing robust, secure AI systems that drive real business impact. In my spare time, I explore GenAI trends, RAG workflows, and scalable architectures to empower teams and stakeholders.…Hi, I’m Varsha Ravula, an AI-ML Engineer with 4+ years of experience building and deploying machine learning and GenAI solutions across financial services and healthcare. I specialize in LLM-based workflows, retrieval-augmented generation pipelines, and cloud-native ML platforms on AWS, Azure, and GCP. I enjoy turning complex data into scalable, production-ready solutions while collaborating closely with data scientists and platform teams in regulated environments. I’m passionate about MLOps, CI/CD automation, and observability, and I love designing robust, secure AI systems that drive real business impact. In my spare time, I explore GenAI trends, RAG workflows, and scalable architectures to empower teams and stakeholders.

Available to hire

Hi, I’m Varsha Ravula, an AI-ML Engineer with 4+ years of experience building and deploying machine learning and GenAI solutions across financial services and healthcare. I specialize in LLM-based workflows, retrieval-augmented generation pipelines, and cloud-native ML platforms on AWS, Azure, and GCP. I enjoy turning complex data into scalable, production-ready solutions while collaborating closely with data scientists and platform teams in regulated environments.

I’m passionate about MLOps, CI/CD automation, and observability, and I love designing robust, secure AI systems that drive real business impact. In my spare time, I explore GenAI trends, RAG workflows, and scalable architectures to empower teams and stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Javanese

Intermediate

Work Experience

Full Stack Frontend / Angular Developer at Coneio Exim Pvt Ltd

December 31, 2022 - July 24, 2025

Developed scalable and responsive UI components using Angular versions 13 through 15, Angular Material, and SCSS, focusing on modern UI/UX design principles. Built dynamic form-driven interfaces with Reactive Forms and FormBuilder, incorporating custom and async validations. Implemented Angular Standalone Components and explored Signals API for reactive state management. Managed complex application state via RxJS and NgRx Store/Effects. Integrated and secured RESTful APIs from Flask and Java Spring Boot backends using JWT/OAuth 2.0 authentication. Created lightweight Python Flask APIs for frontend tasks and implemented OpenCV-based real-time visual automation for academic projects. Set up Jenkins CI/CD pipelines for Angular app automation. Utilized AWS S3 for media storage, Lambda for backend automation, and Docker for containerization of Angular and Flask apps. Improved app performance via lazy loading and route-level preloading. Actively participated in Agile sprints and owned comple

AI-ML Engineer at Citi Bank

December 1, 2024 - Present

Led production ML pipelines and GenAI integrations for fraud detection, risk modeling, and real-time transaction analytics. Implemented LLM-based workflows and RAG pipelines with LangChain, Hugging Face Transformers, and AWS Bedrock for contextual fraud analysis and summarization. Deployed containerized inference services with FastAPI, Docker, Helm, and Amazon EKS; orchestrated distributed training with AWS SageMaker. Established automated CI/CD via GitHub Actions and AWS CodePipeline; applied IAM, Kubernetes RBAC, and Secrets Manager for regulated ML environments. Enhanced observability with Prometheus, Grafana, and CloudWatch; leveraged SQL/NoSQL stores for real-time fraud scoring and model validation.

ML Platform Engineer at VISA

June 1, 2023 - November 1, 2024

Built end-to-end ML lifecycle workflows (MLflow, DVC) for experiment tracking and model versioning. Developed training and inference pipelines using Python, PyTorch, TensorFlow, and scikit-learn for fraud and credit risk models. Deployed containerized services with Docker, Kubernetes (AKS), and Helm; created secure model APIs via FastAPI. Automated CI/CD with GitHub Actions and Jenkins; managed training/inference on Azure ML. Implemented monitoring with Prometheus and Grafana; enforced security using Azure AD and Key Vault. Supported GenAI and LLM explorations with LangChain and Hugging Face Transformers for internal risk analysis and tooling.

Junior Machine Learning Engineer at SigTuple

March 1, 2021 - December 1, 2022

Developed supervised ML models for medical imaging using Python, scikit-learn, TensorFlow, and Keras. Conducted data preprocessing with Pandas/NumPy, assisted with model training/tuning on GCP Vertex AI, and experimented with Random Forest, Logistic Regression, SVM. Implemented clustering and anomaly detection to improve data quality. Automated model evaluation and benchmarking, and gained exposure to transformer-based models for clinical text and imaging. Queried healthcare data with BigQuery, following IAM best practices.