Alexander Sharma
Alexander Sharma
About
Detail
alexander.sharma@gmail.com 8082192613 Senior Software Engineer
Long Beach, California, United States
Senior Software Engineer / Tech Lead with 20 years of experience building and scaling enterprise systems, including 5+ years leading Agile teams. Full-stack expertise across React, Python, Java, Node.js, and Angular, with multi-cloud experience across AWS (certified), Azure, and GCP. Experienced in developing and deploying production AI/LLM solutions, including RAG pipelines, vector search, and real-time inference at scale.
Frontend:
Built scalable enterprise applications using React, Next.js, Vite, TypeScript, Angular, Tailwind CSS, and Material UI with focus on reusable component architecture and responsive UI design.
Developed modern Next.js solutions using App Router, Server Components, Server Actions, SSR/SSG, React Hooks, Suspense, and optimized rendering strategies for high-performance user experiences.
Implemented secure API integrations and advanced state management using TanStack Query, Redux Toolkit, Zustand, GraphQL, REST APIs, NextAuth, JWT, and OAuth2 authentication flows.
Optimized frontend delivery and deployment pipelines using Vite, Docker, GitHub Actions, CI/CD workflows, AWS, and Vercel while supporting Agile-based enterprise development teams.
Backend
Modernized legacy systems and built microservices using Java 11, 17, 22 and 25 and Spring Boot.
Deep experience across Spring ecosystems: Cloud, Data, Security, AOP, Transactions, MVC and Actuators.
Designed and developed REST APIs using Java, Python (FastAPI) and Node.js.
Built event-driven architectures with Kafka and implemented data pipelines using PySpark and Databricks.
Strong debugging and system optimization skills and hands-on experience using various monitoring, logging and observability tools such as Splunk, Dynatrace Grafana, Elastic Logstash and Kibana.
AI
Built production LLM systems (OpenAI, Bedrock, Vertex AI) with guardrails and optimization
Engineered RAG pipelines (FAISS/Pinecone) for contextual retrieval
Developed scalable inference APIs (real-time & batch) with token/error handling
Orchestrated agent workflows (LangChain/LangGraph) with state and tools
Implemented resilient, HITL-enabled orchestration
Built multi-agent autonomous systems (AutoGen) with API integrations
DevOps
Built and maintained CI/CD pipelines (Jenkins, AWS CodePipeline, Azure DevOps)
Strong cloud experience with: AWS (EC2, Lambda, ECS/EKS, RDS, MSK) Azure (AKS, Azure Event Hub, Azure Cosmos DB, Azure PostgreSQL, Azure AI).
Proficient in Docker, Kubernetes, Terraform, CloudFormation, GitHub Actions
Database:
PostgreSQL, MySQL, Oracle, AWS RDS, SQL Server and MongoDB
Frontend:
Built scalable enterprise applications using React, Next.js, Vite, TypeScript, Angular, Tailwind CSS, and Material UI with focus on reusable component architecture and responsive UI design.
Developed modern Next.js solutions using App Router, Server Components, Server Actions, SSR/SSG, React Hooks, Suspense, and optimized rendering strategies for high-performance user experiences.
Implemented secure API integrations and advanced state management using TanStack Query, Redux Toolkit, Zustand, GraphQL, REST APIs, NextAuth, JWT, and OAuth2 authentication flows.
Optimized frontend delivery and deployment pipelines using Vite, Docker, GitHub Actions, CI/CD workflows, AWS, and Vercel while supporting Agile-based enterprise development teams.
Backend
Modernized legacy systems and built microservices using Java 11, 17, 22 and 25 and Spring Boot.
Deep experience across Spring ecosystems: Cloud, Data, Security, AOP, Transactions, MVC and Actuators.
Designed and developed REST APIs using Java, Python (FastAPI) and Node.js.
Built event-driven architectures with Kafka and implemented data pipelines using PySpark and Databricks.
Strong debugging and system optimization skills and hands-on experience using various monitoring, logging and observability tools such as Splunk, Dynatrace Grafana, Elastic Logstash and Kibana.
AI
Built production LLM systems (OpenAI, Bedrock, Vertex AI) with guardrails and optimization
Engineered RAG pipelines (FAISS/Pinecone) for contextual retrieval
Developed scalable inference APIs (real-time & batch) with token/error handling
Orchestrated agent workflows (LangChain/LangGraph) with state and tools
Implemented resilient, HITL-enabled orchestration
Built multi-agent autonomous systems (AutoGen) with API integrations
DevOps
Built and maintained CI/CD pipelines (Jenkins, AWS CodePipeline, Azure DevOps)
Strong cloud experience with: AWS (EC2, Lambda, ECS/EKS, RDS, MSK) Azure (AKS, Azure Event Hub, Azure Cosmos DB, Azure PostgreSQL, Azure AI).
Proficient in Docker, Kubernetes, Terraform, CloudFormation, GitHub Actions
Database:
PostgreSQL, MySQL, Oracle, AWS RDS, SQL Server and MongoDB
Contact Alexander regarding:
work
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