
Anjany Kumar Jaiswal
AI Engineer & Full Stack Developer
Hi, I'm Anjany, an AI Engineer focused on the intersection of heavy backend architecture and applied AI, Currently pursuing B.Tech at SRM IST.
Places I've Made an Impact

ViksaAI
Jan 2026 - June 2026AI Engineer Intern
Remote
- Architected and deployed production-grade AI agents using the official Python MCP SDK, enabling seamless interoperability between LLMs and third-party communication protocols for the ViksaAI platform.
- Engineered a comprehensive suite of 20 MCP agents for cloud infrastructure, integrating 10 AWS services (including Lambda, EC2, S3, and RDS) and 10 GCP services (such as GKE, Compute Engine, and BigQuery) to enable scalable, AI-driven resource provisioning.
- Developed robust MCP servers for Kubernetes cluster orchestration and MySQL database management, facilitating secure, real-time data querying and operational control directly through LLM interfaces.
- Built specialized MCP servers for Gmail implementing secure authentication flows and standardized tool schemas to allow real-time email automation and management for end-users.
PythonMCP SDKAWSGCPKubernetesMySQLGmail APILLMs

SpazorLabs
Aug 2025 - Oct 2025SDE Intern
Chennai, India
- Engineered a localized LLM backend service (SPT) by integrating open-source models via Ollama, enabling internal AI capabilities while maintaining model abstraction.
- Architected a high-availability inference service running on dedicated GPU infrastructure for 24/7 uptime.
- Developed a full-stack usage monitoring and API management tool with session-based token limits and custom rate-limiting logic.
- Built a type-safe API layer allowing other product modules to consume the SPT model through a standardized interface.
PythonOllamaFastAPITypeScriptDocker
Open Source Contributions

Mail0 (Formerly known as OrchidAI)
June 2025 - Aug 2025Full Stack Open Source Contributor
Remote
- Reduced potential data loss by 90% by architecting a robust drafts module with auto-save, real-time updates, and dedicated deletion APIs.
- Cut API latency by 35% by integrating tRPC, PostgreSQL, and Next.js for seamless, type-safe frontend-backend communication.
- Boosted application load efficiency by 40% by deploying production-grade features on Cloudflare's edge network.
Next.jstRPCPostgreSQLCloudflareTypeScript
Things I've Built

Education

SRM Institute of Science and Technology
2023 - 2027B.Tech in Computer Science Engineering (AI & ML)
Skills & Technologies
Languages
C/C++PythonJavaJavaScriptTypeScriptGo-LangBash
Frameworks & Libraries
ReactNext.jsTailwindCSSNode.jsExpress.jsFastAPIFlasktRPCNestJSLangGraphLangChainMCP SDK
Databases & Storage
MySQLPostgreSQLRedisNoSQLMongoDBFirebaseSupabase
DevOps & Cloud
GitGitHub ActionsDockerKubernetesAWSGCPCloudflare WorkersVercelRenderRailwayStreamlit
