I’m Sathyamoorthy, a Gen AI full stack developer who builds and ships web and mobile products end to end—owning everything from architecture to deployment—often leveraging conversational and agentic AI workflows to move faster without losing engineering control. I focus on turning ideas into reliable systems by generating, debugging, and validating production code with strong quality gates. I work deeply across LLM engineering and application security: building LangChain/LangGraph-based RAG pipelines with vector databases, integrating MCP-style tool use, and applying hallucination-control practices like RAGAS evaluation, Guardrails validation, and LangSmith tracing. I also stay production-minded with Docker/Kubernetes, CI/CD, monitoring/observability, and OWASP-aligned security practices, while exploring GPU-accelerated inference for AI-driven features.…

SATHYAMOORTHY PGEN AI

I’m Sathyamoorthy, a Gen AI full stack developer who builds and ships web and mobile products end to end—owning everything from architecture to deployment—often leveraging conversational and agentic AI workflows to move faster without losing engineering control. I focus on turning ideas into reliable systems by generating, debugging, and validating production code with strong quality gates. I work deeply across LLM engineering and application security: building LangChain/LangGraph-based RAG pipelines with vector databases, integrating MCP-style tool use, and applying hallucination-control practices like RAGAS evaluation, Guardrails validation, and LangSmith tracing. I also stay production-minded with Docker/Kubernetes, CI/CD, monitoring/observability, and OWASP-aligned security practices, while exploring GPU-accelerated inference for AI-driven features.…

Available to hire

I’m Sathyamoorthy, a Gen AI full stack developer who builds and ships web and mobile products end to end—owning everything from architecture to deployment—often leveraging conversational and agentic AI workflows to move faster without losing engineering control. I focus on turning ideas into reliable systems by generating, debugging, and validating production code with strong quality gates.

I work deeply across LLM engineering and application security: building LangChain/LangGraph-based RAG pipelines with vector databases, integrating MCP-style tool use, and applying hallucination-control practices like RAGAS evaluation, Guardrails validation, and LangSmith tracing. I also stay production-minded with Docker/Kubernetes, CI/CD, monitoring/observability, and OWASP-aligned security practices, while exploring GPU-accelerated inference for AI-driven features.

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Language

English
Fluent
Tamil
Advanced

Work Experience

Gen AI Full Stack Developer at Maldives Tourism & Travel Company
May 1, 2026 - Present
Independently owned and delivered 4 projects end to end, covering frontend, backend, databases, and deployment. Delivered an internal product from concept to production in about 3 months while handling requirements, development, testing, and deployment solo. Built web tooling with HTML/CSS/JavaScript/React and backend services across Java, Python, Rust, and C++. Prototyped mobile interfaces using Flutter and explored Vue.js. Designed and maintained relational/NoSQL/vector storage systems using PostgreSQL+pgvector, Qdrant, MongoDB, Firebase, and Supabase with Prisma. Deployed and containerized services with Docker/Kubernetes and used Vercel for frontend hosting, supported by CI/CD pipelines across multiple platforms. Implemented observability and monitoring using Datadog/Jaeger/OpenTelemetry/Sentry/Grafana/Prometheus and more. Developed LangChain-based RAG pipelines and MCP-integrated agent tooling, with hallucination-control via RAGAS, Guardrails, and LangSmith, and tightened security
Gen AI Full Stack Developer at Siddha Mudra Academy
January 1, 2022 - May 1, 2026
Built and maintained web applications and internal scripts using HTML/CSS/JavaScript and backend languages including Java, Python, C++, and Rust. Worked with Node.js/Express.js and Vue.js on selected projects, and experimented with Flutter and React Native for mobile prototypes. Applied data structures and algorithms to solve practical problems and optimize code quality. Managed databases using PostgreSQL+pgvector, Supabase, and Qdrant with Prisma. Adopted AI-assisted development workflows (coding copilots, local models with Ollama, and early LangChain/RAG and LangGraph experiments) to speed up prototyping and debugging. Used Git for source control and Jira/Notion for documentation and task tracking.

Education

B.E. (Computer Science & Engineering) at Anna University, Chennai (University College of Engineering, Tiruchirappalli — BIT Campus)
April 1, 2021 - September 15, 2026
Diploma in Computer Engineering at Subramanian Polytechnic College, Rayavaram (State Board of Technical Education, Tamil Nadu)
January 11, 2030 - January 1, 2018

Qualifications

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Industry Experience

Software & Internet, Travel & Hospitality, Education, Computers & Electronics, Media & Entertainment, Financial Services

Experience Level

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