03/15/2026 updated
100 % available
AI Engineer | RLHF | RAG | AI Product Builder | AI full stack developer | Automation | Agentic AI
Bhopal, India
Worldwide
B.Tech in Computer Science and EngineeringAbout me
Ayush Rai is an AI Engineer with 2+ years of experience in turning ambiguous problems into scalable AI products, owning everything from multi-agent orchestration and RAG architecture to backend infrastructure and frontend dashboards.
Controles de AccesoApplication Programming Interfaces (APIs)Artificial IntelligenceAmazon S3Systems EngineeringAuthenticationsCloud ComputingDatabasesContinuous IntegrationDevOpsWeb DevelopmentFailure AnalysisScalabilityInfrastructure ManagementPython (Programming Language)
AI System Architecture and Development
Production-grade AI systems design spanning LLM evaluation, RAG pipelines, and AI-assisted decision platforms with proven scalability and performance optimization
Machine Learning and Data Science
Advanced expertise in LLMs, RAG, RLHF, prompt engineering, model evaluation, and data science with hands-on experience in Scikit-learn and systematic error analysis
Full-Stack Development and Cloud Technologies
Comprehensive backend and API development using Python, FastAPI, Node.js, REST, OpenAPI with cloud-native patterns and vector databases integration
LLM and Agent Frameworks
Specialized knowledge in LangChain, CrewAI, Sentence-Transformers, Ollama, OpenAI and Anthropic APIs for building intelligent agent systems
Database and Infrastructure Management
Proficient in PostgreSQL, SQLite, ChromaDB, Vector Databases, S3, and Docker for scalable data storage and containerized deployments
Frontend Technologies
Modern web development skills in React, Next.js, TypeScript, Tailwind CSS, and Radix UI for creating responsive user interfaces
DevOps and System Engineering
System design expertise, MCP, Git/GitHub, CI/CD, and cloud fundamentals for reliable software delivery and infrastructure management
Security and Authentication
Implementation of OAuth 2.0, RBAC, progressive verification, and security primitives for enterprise-grade access control and compliance
Production-grade AI systems design spanning LLM evaluation, RAG pipelines, and AI-assisted decision platforms with proven scalability and performance optimization
Machine Learning and Data Science
Advanced expertise in LLMs, RAG, RLHF, prompt engineering, model evaluation, and data science with hands-on experience in Scikit-learn and systematic error analysis
Full-Stack Development and Cloud Technologies
Comprehensive backend and API development using Python, FastAPI, Node.js, REST, OpenAPI with cloud-native patterns and vector databases integration
LLM and Agent Frameworks
Specialized knowledge in LangChain, CrewAI, Sentence-Transformers, Ollama, OpenAI and Anthropic APIs for building intelligent agent systems
Database and Infrastructure Management
Proficient in PostgreSQL, SQLite, ChromaDB, Vector Databases, S3, and Docker for scalable data storage and containerized deployments
Frontend Technologies
Modern web development skills in React, Next.js, TypeScript, Tailwind CSS, and Radix UI for creating responsive user interfaces
DevOps and System Engineering
System design expertise, MCP, Git/GitHub, CI/CD, and cloud fundamentals for reliable software delivery and infrastructure management
Security and Authentication
Implementation of OAuth 2.0, RBAC, progressive verification, and security primitives for enterprise-grade access control and compliance
Project history
Designed and delivered production AI systems spanning LLM evaluation, RAG pipelines, and AI-assisted decision platforms. Built and operated RLHF pipelines for OpenAI, led AI audits and maturity assessments, and improved AI output reliability by 30% through systematic evaluation and feedback loops.