I BUILD AI AGENTS. I RUN PROD.
Hey, I'm Priyansh Gupta — Senior Agentic AI & GenAI Engineer with 5+ years delivering enterprise AI on Azure and AWS. I build multi-agent systems, production RAG pipelines, and MCP integrations — production-ready GenAI platforms trusted by Fortune 500 clients.
ANYONE CAN WEAR THE MASK. I SHIP THE AGENTS.
For 5+ years I've built and run cloud infrastructure and backend systems — Kubernetes clusters, GitOps pipelines, zero-trust service meshes — for Fortune 500 enterprises and global clients. Then GenAI arrived, and I took the leap of faith: the same engineering discipline could make autonomous agents safe enough for production.
Today I'm a Senior Agentic AI Engineer & GenAI Lead based in Dubai (JVC), designing multi-agent platforms, enterprise RAG systems, and MCP integrations — with guardrails, HITL approval flows, and full auditability. Certified Azure AI Engineer (AI-102), CKA, CKAD, and AZ-400.
"Agents you can't audit are agents you can't trust."
M.Sc. Artificial Intelligence
Heriot-Watt University · Dubai, UAE
IN PROGRESSB.Tech. Computer Science
UPES · 2017 – 2021
CLOUD & AI/MLFROM PIPELINES TO PRODUCTION GENAI
Senior DevOps & AI Platform Engineer
Deployed multimodal LLMs on Azure AI Foundry with inference auto-scaling and Content Safety guardrails. Architected enterprise RAG pipelines with vector + semantic hybrid indexing in Azure AI Search, delivered MCP integration for Azure Boards for live agentic tool-use, and led GenAI platform modernisation for FMGlobal with zero-downtime migration. Standardised CI/CD governance across 20+ microservices with JFrog supply-chain gates.
Senior GenAI / MLOps / Agentic AI Consultant
Architected end-to-end RAG pipelines with LangChain, Pinecone, and ChromaDB — semantic retrieval with top-k reranking for production SaaS clients. Delivered agentic AI solutions embedding Azure OpenAI, Claude, and GPT-4o with tool-use, function-calling, and autonomous decision-making. Deployed MLOps infrastructure on Azure ML and AWS SageMaker with n8n-orchestrated pipelines, model monitoring, and drift detection.
DevOps Engineer
Engineered Helm charts for AKS onboarding with rollback-enabled pipelines and Kyverno admission control for security baselines, quotas, and image signing. Configured Istio with mTLS zero-trust, FluxCD GitOps state management, and canary + A/B traffic routing. Enforced least-privilege secrets access via Kubernetes Secrets Store CSI and Azure Key Vault.
Software Engineer
Built reusable Terraform and Bicep modules for Azure VNets, Key Vaults, AKS, and Application Gateways; authored Azure DevOps YAML CI/CD templates for build-test-deploy workflows across cloud-native services.
AGENTS WITH GUARDRAILS, PLATFORMS THAT SCALE
CrewSpace
Built from scratch: a platform where a CEO agent autonomously decomposes goals into domain subtasks, delegates across specialist AI agents, proposes new hires when needed, and coordinates via multi-agent communication and approval workflows. Ships with persistent per-agent memory, agent-to-agent and group chat, shared workspaces with file permissions, integrated terminal ops, real-time task boards, founder dashboards, and an interactive 3D office.
OpenClaw
Active contributor with multiple PRs merged into the core codebase — improving agent runtime tooling, workspace file handling, and developer-facing diagnostics. Fixed image-tool workspace path resolution to resolve against the agent workspace instead of process.cwd() (preserving allowlist security, with regression coverage), and improved tool validation errors to surface received parameter keys for easier debugging of long-running agent sessions.
AutoOps AI
Monitors GitHub repositories and CI/CD pipelines, performs multi-step LLM root-cause analysis, raises PRs with fixes, and triggers Terraform-based remediation on Azure. Plain-English infrastructure provisioning via function-calling — parsed to HCL, validated, planned, applied — with auto-revert through Prometheus alerting.
RAG Production Chatbot
Production RAG chatbot on fully local Ollama inference — zero external API dependency for data-privacy compliance. ChromaDB vector pipeline for chunking, indexing, semantic search, and top-k retrieval, with a FastAPI REST layer and structured audit logging of every query, retrieval, and response.
SPIDEY POWERS
🤖Agentic AI & LLMs
☁️Azure AI Platform
🏗️Cloud, IaC & DevOps
🐳Containers & Orchestration
🔎Vector & Search
🛡️Security & Observability
⚡Backend & APIs
🏅Quality Seals
READY TO GO AGENT-FIRST?
Email me, call me, or just say hi from anywhere in the multiverse. Your next production GenAI platform starts right here.