Moe Bayat — DevOps & Platform Engineer | Agentic AI Systems

Resume

Moe Bayat

DevOps & Platform Engineer | Agentic AI Systems

Systems Architect and DevOps/Platform Engineer with 4+ years of experience designing high-scale, fault-tolerant infrastructure and high-velocity data pipelines. Proven expertise in architecting resilient cloud infrastructure (Azure/AWS), building automated CI/CD deployment workflows, and implementing state-driven AI agents (LangGraph) to optimize internal operations and microservices. Expert in containerized environments, infrastructure as code, and performance optimization for mission-critical platform scaling.

mbny30@gmail.com917-434-3777New York, NY

Experience

Founder & Full-Stack/ML Infrastructure Engineer

Jan 2026 — Present

CareerLens AI

  • Built a high-performance NLP parsing microservice using FastAPI, SpaCy, and Redis to classify high-velocity text processing streams.
  • Containerized Python microservices using Docker and deployed to Azure Kubernetes Service (AKS) with Horizontal Pod Autoscaling (HPA) and Helm charts for traffic elasticity.
  • Provisioned the complete Azure stack (AKS, App Service, Key Vault, Container Registry) via Terraform with remote state management in Blob Storage across multi-stage environments.
  • Owned GitHub Actions workflows featuring automated lint, test, and Docker build gates on PRs; instrumented microservices with Prometheus metrics and Grafana sidecars to monitor real-time inference latency.
  • Enforced robust API gateway security and per-user AI call quotas using Upstash rate-limiting and Next.js middleware.

Data Systems Researcher

Sep 2023 — May 2025

NJIT — Secure Data Processing Lab

  • Architected privacy-preserving pipelines with Fully Homomorphic Encryption (FHE) for secure computation on encrypted datasets.
  • Designed advanced partitioning and indexing algorithms for PostgreSQL, optimizing scan performance on billion-row datasets.

Technical Skills

Languages

PythonGo (channels, goroutines, concurrency)SQL

Backend & APIs

FastAPINode.jsDjangoREST API DesignWebSocketNext.js

Data & Analytics

PostgreSQL (index tuning, partitioning)SnowflakeDelta LakeDatabricksAirflow DAGs

Cloud

AWS S3AWS LambdaAWS CloudWatchAzure Blob/ContainerAzure SynapseAzure DatabricksAzure Data FactoryAzure Server

ETL / Pipeline Migration

ELT/ETL workflow designAlteryx-to-AWS migrationEvent-driven pipelinesAzure Service Bus & Event Hubs

Dashboards & Forecasting

Data modeling for incentive structuresKPI reportingSales channel analyticsReal-time visualization

DevOps & IaC

CI/CD pipelines (GitHub Actions)DockerKubernetes (AKS)TerraformMakefilePrometheusGrafana

AI Tooling

LangGraph (agent workflows, DAG execution)CursorClaudeChatGPT

Technical Projects

UI-Navigator Agent

  • Built an autonomous UI agent that maps user-defined platform targets and task goals into executable browser workflows using LangGraph-orchestrated reasoning and LLM-driven action planning.
  • Deployed as a production web application with live demo infrastructure on Vercel, enabling end-to-end task execution across target platforms from a single intent-based interface.

ResumeSnap (CareerLens AI)

  • Architected a FastAPI microservice stack with SpaCy NLP for contextual resume parsing, Gemini API integration for stack-aware project generation, and Azure Whisper for voice input pipelines.
  • Shipped a browser companion extension and full-stack platform with containerized deployment, rate-limited API gateways, and observability across inference and ingestion paths.

Gandom Bakery Platform

  • Delivered a production e-commerce platform with Stripe checkout, real-time admin notifications, automated inventory entry, and synchronized stock levels between admin tooling and the public storefront.

Education

M.S. in Computer Science

New Jersey Institute of Technology

B.A. in Computer Science

Queens College, CUNY