Joy Dahiya — CTO
Stanford Certified Generative AI & Machine Learning Engineer Expert in architecting and deploying multi-agent, state-aware GenAI systems with full-stack backend integration. Proficient in model context protocols, agentic workflows, and vector-based retrieval pipelines (FAISS, Vespa, SentenceTransformers) powered by Postgres and cloud databases. Skilled in delivering scalable LLM-powered solutions using LangChain, LangGraph, RAG, and custom fine-tuned models, with advanced expertise in Python, PyTorch, TensorFlow, and Scikit-learn. Experienced in building AI-driven systems for robotics, NLP, and enterprise automation, optimizing performance, and delivering production-ready, end-to-end GenAI services.
Stackforce AI infers this person is a SaaS expert specializing in Generative AI and Machine Learning solutions.
Experience: 2 yrs 5 mos
Skills
- Generative Ai
- Model Context Protocol (mcp)
- Retrieval-augmented Generation (rag)
- Database Management System (dbms)
- Software Development
Career Highlights
- Expert in architecting multi-agent GenAI systems.
- Proficient in scalable LLM-powered solutions.
- Advanced skills in Python, PyTorch, and TensorFlow.
Work Experience
HappiDost.ai
CTO & Co-founder (2 mos)
Founding AI Engineer (8 mos)
Smart Head Robotix
Data Scientist – GenAI (11 mos)
AventIQ
Associate Data Scientist (8 mos)
Education
Bachelor of Technology (B.Tech) at Manav Rachna University