I am an AI Engineer with hands-on experience building Generative AI and Retrieval-Augmented Generation (RAG) systems, primarily within the Microsoft Azure ecosystem.
My work focuses on production readiness, retrieval quality, system reliability, and enterprise integration, rather than demo-only applications. I enjoy translating real business workflows into dependable AI-driven solutions.
Generative AI & Agentic Systems
- Retrieval-Augmented Generation (RAG)
- Azure OpenAI, LangChain, LangGraph
- Prompt engineering, grounding, multi-agent workflows
Microsoft Enterprise AI
- Copilot Studio (Microsoft Teams Copilot)
- Azure AI / Cognitive Services
- SharePoint (SPFx) AI integrations
- Power Automate–driven AI workflows
Vector Search & Data
- Azure Cognitive Search
- PostgreSQL + pgvector
- Metadata-driven retrieval pipelines
Backend & Infrastructure
- Python (FastAPI, Flask)
- JavaScript / TypeScript
- Azure Functions (serverless)
- Docker, GitHub Actions (CI/CD)
This GitHub profile contains a mix of:
- Personal experiments
- Learning projects
- Selected proof-of-concept implementations
Public repositories on this profile generally demonstrate:
- AI chatbots over custom data sources
- Azure OpenAI–based applications
- SharePoint (SPFx) AI assistant patterns
- AI interview and assessment experiments
- Supporting utility libraries
(See pinned repositories for concrete examples.)
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Microsoft Certified: Azure AI Engineer Associate (AI-102)
🔗 https://learn.microsoft.com/en-us/users/jashpalrajpurohit-0609/credentials/51acd4e002719d90 -
Microsoft Certified: Azure AI Fundamentals (AI-900)
🔗 https://learn.microsoft.com/en-us/users/jashpalrajpurohit-9782/credentials/297a06aa23feb386 -
Oracle Cloud Infrastructure 2025 – Generative AI Professional
🔗 https://catalog-education.oracle.com/ords/certview/sharebadge?id=5205320D07CF2AD4E3A680555B7D00826EA8957A19A03E099B5ACC2E71DCCB34
- 💼 LinkedIn: https://www.linkedin.com/in/jashpal/
- 💻 GitHub: https://github.com/jashpal2003
- 📧 Email: jashpalpurohit111@gmail.com
⭐ I’m particularly interested in building enterprise-grade AI systems that are reliable, auditable, and aligned with real business processes.
