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

I’m Srujana Yada, a results-driven AI/ML engineer with a track record of delivering scalable, production-grade machine learning and data-engineering solutions across fintech, healthcare, and retail. I’ve built GenAI systems, deployed end-to-end MLOps pipelines, and led integration efforts that bridge data science, software, and product teams to solve real business problems. I enjoy turning complex data into actionable insights and building robust, reliable systems that scale in cloud environments. I thrive in cross-functional teams, love turning hard problems into repeatable workflows, and am passionate about thoughtful model grounding, performance monitoring, and better user experiences through intelligent automation and semantic retrieval. I’m always eager to learn, collaborate, and ship impactful AI-powered capabilities.…I’m Srujana Yada, a results-driven AI/ML engineer with a track record of delivering scalable, production-grade machine learning and data-engineering solutions across fintech, healthcare, and retail. I’ve built GenAI systems, deployed end-to-end MLOps pipelines, and led integration efforts that bridge data science, software, and product teams to solve real business problems. I enjoy turning complex data into actionable insights and building robust, reliable systems that scale in cloud environments. I thrive in cross-functional teams, love turning hard problems into repeatable workflows, and am passionate about thoughtful model grounding, performance monitoring, and better user experiences through intelligent automation and semantic retrieval. I’m always eager to learn, collaborate, and ship impactful AI-powered capabilities.

Srujana Yada

Data Scientist, Full Stack Developer, Web Developer, +2





I’m Srujana Yada, a results-driven AI/ML engineer with a track record of delivering scalable, production-grade machine learning and data-engineering solutions across fintech, healthcare, and retail. I’ve built GenAI systems, deployed end-to-end MLOps pipelines, and led integration efforts that bridge data science, software, and product teams to solve real business problems. I enjoy turning complex data into actionable insights and building robust, reliable systems that scale in cloud environments. I thrive in cross-functional teams, love turning hard problems into repeatable workflows, and am passionate about thoughtful model grounding, performance monitoring, and better user experiences through intelligent automation and semantic retrieval. I’m always eager to learn, collaborate, and ship impactful AI-powered capabilities.…I’m Srujana Yada, a results-driven AI/ML engineer with a track record of delivering scalable, production-grade machine learning and data-engineering solutions across fintech, healthcare, and retail. I’ve built GenAI systems, deployed end-to-end MLOps pipelines, and led integration efforts that bridge data science, software, and product teams to solve real business problems. I enjoy turning complex data into actionable insights and building robust, reliable systems that scale in cloud environments. I thrive in cross-functional teams, love turning hard problems into repeatable workflows, and am passionate about thoughtful model grounding, performance monitoring, and better user experiences through intelligent automation and semantic retrieval. I’m always eager to learn, collaborate, and ship impactful AI-powered capabilities.

Available to hire

I’m Srujana Yada, a results-driven AI/ML engineer with a track record of delivering scalable, production-grade machine learning and data-engineering solutions across fintech, healthcare, and retail. I’ve built GenAI systems, deployed end-to-end MLOps pipelines, and led integration efforts that bridge data science, software, and product teams to solve real business problems. I enjoy turning complex data into actionable insights and building robust, reliable systems that scale in cloud environments.

I thrive in cross-functional teams, love turning hard problems into repeatable workflows, and am passionate about thoughtful model grounding, performance monitoring, and better user experiences through intelligent automation and semantic retrieval. I’m always eager to learn, collaborate, and ship impactful AI-powered capabilities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

Work Experience

AI/ML Engineer at Gainwell Technologies

November 1, 2024 - Present

Built intelligent GenAI chatbot systems using Claude and Gemini to deliver personalized and context-aware conversations. Applied transformer-based models (BERT, GPT) to enhance language understanding, intent detection, and response generation. Architected Agentic AI pipelines with LangGraph for complex multi-step reasoning. Developed context-aware, stateful agents that track user interactions and adapt execution strategies in real time. Integrated external APIs into agent workflows for live data retrieval and decision-making. Engineered MCP-driven integrations for distributed systems. Transformed unstructured documents into structured formats using Docling and Unstructured.io for downstream processing. Designed robust RAG architectures to ground LLM outputs with current knowledge sources. Implemented scalable vector search with Milvus and ChromaDB for fast semantic retrieval and optimized embeddings. Measured model performance with RAGAS, BERTScore, and DeepEval to improve grounding. S

Machine Learning Engineer at Bank of the West

August 1, 2022 - October 31, 2024

Engineered scalable ML pipelines for clustering, segmentation, and analytics leveraging AWS services including S3, Lambda, Glue, and SageMaker. Automated preprocessing, feature engineering, and model training using pandas, NumPy, and scikit-learn. Established robust MLOps frameworks with MLflow (MLow), DVC, and Databricks to enable experiment tracking, reproducibility, and model lifecycle management. Containerized and deployed ML models using Docker on Kubernetes (EKS) and SageMaker with TorchServe and KServe for reliable, low-latency inference. Built automated CI/CD pipelines using GitHub Actions for continuous testing, validation, and seamless production releases. Designed event-driven and near real-time data pipelines using AWS Lambda, S3, and workflow orchestration mechanisms. Implemented comprehensive observability with CloudWatch, Prometheus, Grafana, and SageMaker Model Monitor. Developed drift detection mechanisms using statistical analysis and feature distribution monitoring.

Remote Software Engineer/MLOps at AT&T

August 1, 2021 - July 31, 2022

Engineered scalable ML pipelines for clustering and segmentation of large-scale datasets using AWS services, enabling efficient data processing and integration with ETL systems. Built automated data preprocessing and feature engineering workflows using Python, pandas, NumPy, and scikit-learn to improve model accuracy and consistency. Implemented end-to-end MLOps workflows leveraging MLflow, DVC, and Databricks for experiment tracking, reproducibility, and model versioning. Deployed and managed production-grade ML models on AWS SageMaker using Docker, Kubernetes, and TorchServe for scalable and fault-tolerant inference. Designed and implemented CI/CD pipelines for automated model testing, validation, and deployment, improving release efficiency and reducing manual overhead. Developed batch and real-time data pipelines using AWS Lambda and S3 for seamless data ingestion, transformation, and integration with ML systems. Established monitoring and alerting mechanisms using AWS CloudWatch a

Data Engineer at Cigna Health Insurance

December 1, 2019 - July 31, 2021

Designed and maintained scalable ETL pipelines for structured and unstructured data using Apache Airflow, Python, and SQL. Implemented containerized data processing solutions using Docker and Kubernetes to support reliable cloud-based deployments. Developed and orchestrated batch and near real-time data workflows ensuring data availability and consistency. Optimized data models and warehouse schemas to improve query performance and reporting efficiency in BigQuery. Integrated cloud storage solutions such as Amazon S3 for efficient data ingestion, storage, and retrieval. Utilized Snowflake for large-scale data processing and analytics, enabling high-performance querying. Built monitoring and alerting dashboards using Prometheus and Grafana to track pipeline performance and failures. Improved data pipeline reliability with retry mechanisms, logging standards, and failure handling strategies. Performed data validation and quality checks to ensure accuracy and integrity across multiple sou

Software Engineer at Walgreens

August 1, 2018 - November 30, 2019

Developed a full-stack web application using React for frontend and Flask with SQLAlchemy for backend services. Designed and implemented secure authentication using JWT and role-based access control. Built and maintained RESTful APIs to support frontend functionality and third-party integrations. Automated backend workflows including scheduled jobs, data processing, and external API integrations. Containerized applications using Docker and deployed on AWS EKS to ensure scalability and high availability. Improved application performance by optimizing database queries and implementing caching strategies. Designed relational database schemas and managed data using PostgreSQL. Integrated logging and monitoring solutions to proactively detect and resolve production issues. Collaborated with UI/UX teams to enhance user experience and improve application responsiveness. Implemented CI/CD pipelines using Git, Jenkins, and Maven. Resolved production issues by debugging application code and anal

Software Engineer at Delta Airlines

May 1, 2016 - July 31, 2018

Developed and maintained backend components using Java, integrating RESTful and SOAP APIs for seamless system communication. Validated and processed XML and JSON payloads to ensure secure and accurate data exchange. Designed and implemented ETL and data integration workflows using Talend for efficient data movement. Built and optimized data pipelines connecting Snowflake, Hive, and Salesforce platforms for unified data access. Wrote complex SQL and HiveQL queries for data transformation, validation, and reporting. Utilized data governance tools such as Alation for metadata management and lineage tracking. Automated testing frameworks using Selenium, TestNG, and Cucumber to improve test coverage. Implemented data validation and transformation rules in MySQL and SAP HANA. Integrated Salesforce for CRM data synchronization and workflow automation. Monitored application and pipeline performance and implemented optimizations.