π Software Engineer | Backend Architect | AI Solutions Developer
Iβm a passionate software engineer with 8+ years of experience in designing, developing, and optimizing large-scale, high-performance systems. My expertise spans across Java, Python, C++, Golang, and cloud-native architectures on AWS. I specialize in building scalable microservices, designing cloud infrastructure, and implementing cutting-edge AI solutions.
π‘ I love working at the intersection of AI, distributed systems, and cloud technologies, crafting solutions that are robust, efficient, and elegant.
- Languages: Java, Python, C++, Golang, VBA, Bash
- Frameworks & Libraries: Spring, Gradle, Django, Groovy, QueryDSL, RestTemplate, Swagger, OpenAPI, Mockito, LangChain, LangGraph, CrewAI, Microsoft AutoGen
- DevOps & Tools: Kubernetes (Custom Controllers), Docker, Jenkins, Argo Workflows, Ansible, AWS (EC2, SG, NACL, VPC, S3, LB, WAF, Transit Gateway, Bastion Hosts, VPC Peering), Terraform, MCP Server, Google Cloud Platform
- Databases: MongoDB, AWS S3, ElasticSearch, MySQL
- Other: Microservices, REST APIs, RAG, CI/CD, Agentic AI Development, Agile/Scrum
An agentic AI built using OpenAI Agents SDK and MCP server to validate JSON payloads against the Beckn protocol specification. Features:
- Validation with detailed error hints and suggested fixes.
- Dockerized and deployed on Kubernetes in Google Cloud.
πΉ Financial Researcher
An AI-powered multi-agent system using CrewAI to perform stock market research and compile detailed reports.
- Maintainer of the Beckn Protocol Specification.
- Author of the Beckn ONIX stack specification.
- Maintained implementation guides for various domain use cases.
- Building AI-driven developer tools using agentic frameworks.
- Expanding my work in open protocols and decentralized systems.
- Contributing to open-source projects in AI and cloud-native infrastructure.
- Email: [email protected]
- LinkedIn: linkedin.com/in/kumarrajaneesh
- GitHub: github.com/rajaneeshk90
β‘ Always learning, always building.