Senior AI Engineer & Agentic AI Specialist
Transforming complex AI research into scalable production applications
Denver, USA
Arpit Agarwal is a leading AI Research Engineer and GitHub developer specializing in Agentic AI systems, LLM fine-tuning, and autonomous AI agents. Based in Denver, USA, Arpit transforms complex AI research into scalable production applications.
CrewAI, AutoGPT, LangGraph workflows
LoRA, QLoRA, PEFT, Unsloth, vLLM
ChromaDB, Pinecone, Neo4j, Qdrant, FAISS
Revolutionary AI system for optimizing 5G network performance
Innovative approach to synthetic data generation and injection
Advanced fault detection system with extreme validation methods
Advanced multi-agent AI system with autonomous reasoning
Intelligent solution generation using LangGraph workflows
AI-powered content summarization and validation system
Comprehensive machine learning project with end-to-end pipeline
Interactive web-based skeeball game with physics simulation
Adventure treasure hunting game with interactive map exploration
Revolutionary approach to testing - not just to validate, but to learn and improve systems continuously
Leading AI research initiatives and developing cutting-edge agentic AI systems. Spearheading LLM fine-tuning projects and implementing enterprise RAG solutions.
Advanced data science and machine learning solutions for telecommunications. Specialized in customer analytics and network optimization.
Data science and analytics for satellite television and wireless services. Located in Littleton, Colorado, United States.
AI Agent Orchestration Systems
Top-tier AI conferences
Outstanding AI Research
Contributor
EchoStar AI Division
Custom autonomous AI agents and multi-agent systems
Domain-specific model customization with LoRA/QLoRA
Advanced retrieval systems with vector databases
Multi-context protocol for complex AI workflows