Siddharth Yadav
Senior Software Engineer @ Optum
About
🚀 Senior Software Developer | GenAI & Agentic Workflows | Java & Spring Boot Expert | Cloud Architecture I am a Senior Software Developer specializing in the intersection of Generative AI (GenAI) and enterprise-scale Backend Engineering. With 4 years of experience, I architect intelligent systems that leverage Large Language Models (LLMs) to solve complex challenges within Human Capital Data ecosystems. Primary Focus: GenAI & Python Ecosystem I specialize in building autonomous, multi-agent systems and sophisticated RAG pipelines using LangGraph and LangChain. My expertise lies in taking Machine Learning and Deep Learning models from research to production, utilizing Python and Databricks to process and analyze massive datasets at scale. Core Strength: Java & Spring Boot Development Complementing my AI expertise is a deep-rooted mastery of Java and the Spring Framework. I design and optimize high-concurrency REST APIs and Microservices that serve as the backbone for mission-critical applications. From Spring Security to Spring Data JPA, I build secure, scalable, and observable systems monitored via Splunk. Technical Power Grid: • Generative AI & ML: GenAI, LangGraph, LangChain, LLM Orchestration, RAG Pipelines, Python, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP). • Backend Engineering: Java (J2EE), Spring Boot, RESTful APIs, Microservices Architecture, Spring Cloud, Maven, Gradle. • Cloud & DevOps: Microsoft Azure, Kubernetes (K8s), Docker, Containerization, CI/CD Pipelines, Terraform. • Data & Database: SQL, Databricks, Apache Spark, PostgreSQL, NoSQL, Data Modeling, Human Capital Management (HCM) Data. • Observability & Tools: Splunk, Git, Bitbucket, JIRA, Confluence, Agile/Scrum. I thrive on bridging the gap between cutting-edge AI research and robust, production-grade software engineering.
India
Noida
Computer Software
Genai, LangChain, Microsoft Copilot Studio, AI Agents, Chatbots, Azure AI, Artificial Intelligence (AI), Machine Learning, Microsoft Azure, Microsoft Azure Machine Learning, Large Language Models (LLM), Prompt Engineering, Markdown, Java, Spring Boot, Spring MVC, Kubernetes, Docker, REST APIs, Splunk Enterprise
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