I'm Yogitha, a senior GenAI Java full-stack developer with 7+ years of experience delivering scalable web apps, distributed systems, and AI-powered solutions. I specialize in Java backend with Spring Boot and microservices, modern frontends with Angular/React, and integrating AI/ML models via OpenAI, LangChain, and retrieval-augmented generation pipelines. I enjoy turning data into actionable insights and building production-grade systems that leverage Docker, Kubernetes, and cloud services. In cross-functional teams, I collaborate with data scientists to containerize models, design data pipelines with Kafka and Spark, and deploy ML solutions through CI/CD and MLOps practices. I thrive in fast-paced environments and value clean architecture, test-driven development, and collaboration across finance, healthcare, and enterprise domains. I’ve led or contributed to initiatives spanning real-time analytics, AI-powered customer experiences, and scalable cloud-native architectures, with a focus on reliability, security, and measurable business impact.

I'm Yogitha, a senior GenAI Java full-stack developer with 7+ years of experience delivering scalable web apps, distributed systems, and AI-powered solutions. I specialize in Java backend with Spring Boot and microservices, modern frontends with Angular/React, and integrating AI/ML models via OpenAI, LangChain, and retrieval-augmented generation pipelines. I enjoy turning data into actionable insights and building production-grade systems that leverage Docker, Kubernetes, and cloud services. In cross-functional teams, I collaborate with data scientists to containerize models, design data pipelines with Kafka and Spark, and deploy ML solutions through CI/CD and MLOps practices. I thrive in fast-paced environments and value clean architecture, test-driven development, and collaboration across finance, healthcare, and enterprise domains. I’ve led or contributed to initiatives spanning real-time analytics, AI-powered customer experiences, and scalable cloud-native architectures, with a focus on reliability, security, and measurable business impact.

Available to hire

I’m Yogitha, a senior GenAI Java full-stack developer with 7+ years of experience delivering scalable web apps, distributed systems, and AI-powered solutions. I specialize in Java backend with Spring Boot and microservices, modern frontends with Angular/React, and integrating AI/ML models via OpenAI, LangChain, and retrieval-augmented generation pipelines. I enjoy turning data into actionable insights and building production-grade systems that leverage Docker, Kubernetes, and cloud services. In cross-functional teams, I collaborate with data scientists to containerize models, design data pipelines with Kafka and Spark, and deploy ML solutions through CI/CD and MLOps practices.

I thrive in fast-paced environments and value clean architecture, test-driven development, and collaboration across finance, healthcare, and enterprise domains. I’ve led or contributed to initiatives spanning real-time analytics, AI-powered customer experiences, and scalable cloud-native architectures, with a focus on reliability, security, and measurable business impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Gen AI Java Full Stack Developer at Goldman Sachs
November 1, 2023 - October 27, 2025
Designed and developed RESTful microservices using Spring Boot and Java 17, migrating monolithic applications to microservices for high-availability systems. Built dynamic, responsive dashboards and SPAs using Angular, Bootstrap, TypeScript, React, HTML5, CSS, and Kotlin. Implemented generative AI capabilities via OpenAI APIs, Hugging Face Transformers, GPT, DALL·E, Stable Diffusion, and LLaMA, integrating Retrieval-Augmented Generation (RAG) with vector databases (FAISS, Weaviate, Pinecone). Collaborated with data scientists to containerize AI models using Docker and Kubernetes, and built real-time data pipelines with Kafka and Spark Streaming. Integrated embeddings and vector search for AI-driven applications and deployed ML models on AWS/Azure/GCP with MLflow-based MLOps and dashboards in Power BI/Tableau. Worked in Agile environments and ensured high-availability data storage using PostgreSQL, Oracle, and NoSQL stores.
Gen AI Java Full Stack Developer at PNC Financial Services
October 1, 2023 - October 1, 2023
Led development of LLM-based enterprise knowledge bases and internal assistants; architected Retrieval-Augmented Generation (LangChain) pipelines with vector databases (FAISS, Weaviate, Milvus). Built scalable microservices with Spring Boot, FastAPI, and Flask, including serverless components with AWS Lambda/API Gateway and GCP Cloud Run. Containerized applications with Docker/Kubernetes, created Helm charts, auto-scaling, Istio service mesh, and blue-green deployments. Implemented ML lifecycle with MLflow (training with PyTorch/Scikit-learn to deployment) and integrated Azure OpenAI and Hugging Face models. Designed complex SQL queries and optimized Oracle/MySQL and NoSQL (MongoDB, Cassandra). Migrated monoliths to microservices with Kafka/JMS for asynchronous messaging. Automated CI/CD via GitHub Actions, Jenkins, and GitLab CI; built real-time pipelines with Pub/Sub/Dataflow/BigQuery; delivered KPI dashboards with Power BI/Tableau. Conducted performance, security, and compliance rev
Java/J2EE Developer at Molina Healthcare
December 1, 2021 - December 1, 2021
Designed and implemented microservices with Spring Boot on AWS; leveraged AWS Lambda and API Gateway for serverless components. Integrated AI capabilities with AWS SageMaker and Comprehend; enhanced security with Spring Security and IAM roles; developed robust REST APIs and backend services; migrated legacy applications to microservices; automated deployments with Jenkins and Docker; configured CloudFormation for infrastructure provisioning. Collaborated with data science teams to integrate ML models into business workflows; applied security best practices and RBAC; contributed to performance tuning and scalability improvements; delivered containerized deployments on AWS with monitoring via CloudWatch and ELK.
Java Developer at Value Momentum
September 1, 2019 - September 1, 2019
Provided web application development across J2EE/SOA stacks with Spring, Hibernate, JSP/HTML/JS frontend. Implemented SOAP and RESTful services, designed and implemented microservices with Spring Boot, and deployed on AWS. Built CI/CD pipelines with Jenkins and Docker; migrated legacy systems to microservices and integrated with Oracle/MySQL/MongoDB. Participated in Agile/Scrum, contributed to data access layers with JPA/Hibernate, and supported security enhancements and performance optimizations. Gained experience in automation and deployment processes using CloudFormation and Docker containers.

Education

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Industry Experience

Software & Internet, Financial Services, Healthcare, Professional Services, Media & Entertainment