Artificial Intelligence & Machine Learning Engineer focused on building production-grade AI systems, enterprise LLM platforms, RAG pipelines, and agentic AI solutions.
Currently working on scalable AI systems involving LLM orchestration, document intelligence, backend APIs, and cloud deployment.
Portfolio: adinath-ds.web.app
- AI Engineer with experience in production AI systems
- Building RAG, Agentic AI, Multi-Agent workflows, and enterprise LLM platforms
- Working with AWS deployment, backend systems, and secure AI architectures
- Interested in scalable inference, document AI, and applied generative AI
LLMs • RAG • Prompt Engineering • Agentic AI • LangChain • HuggingFace • Transformers • vLLM
REST APIs • Microservices • OAuth 2.0
AWS EC2 • S3 • SageMaker • Azure OpenAI • CI/CD
SQL • PySpark • Vector Databases • Pandas • NumPy
AI Engineer — Centelon IT Solutions LLP (Sibiliti)
Working on enterprise AI platforms involving:
- Agentic AI systems
- Multi-agent orchestration
- Production RAG architectures
- Secure AI platform development
- LLM deployment and optimization
- Document AI pipelines
Enterprise AI platform integrating:
- LLMs
- Enterprise tools
- Document intelligence
- RBAC permissions
- Multi-model routing
- Secure connector architecture
Modular framework for:
- OCR
- Layout analysis
- Document classification
- Structured information extraction
- Reusable AI pipelines
Deep learning web application using CNNs and ResNet34 for plant disease identification and prediction.
GitHub: https://github.com/adinath1233
Portfolio: https://adinath-ds.web.app/home
Email: adinathsangaj844@gmail.com