MV
Available for work עברית

00 Senior Full-Stack & Applied AI Engineer

Michael Vexler

Senior Full-Stack & Applied AI Engineer — Agents, RAG & Evals in Production.

Co-Founder & CTO of an AI-native live-events platform — an LLM agent, RAG, and an evaluation harness live in production.

Ramat Gan, Israel Open to senior full-stack / applied-AI roles

01 — Selected work

Things shipped to production

  1. AI platform · Production 2026 — Present

    ShowMe

    Co-Founder & CTO

    A demand-driven live-events platform, live in production. I own the architecture end to end — and a real LLM agent runs inside it.

    • Production LLM agent across web and the WhatsApp Business API: a provider-agnostic LLM gateway with failover, RAG over the live catalog, tool calling, and structured actions with human handoff.
    • Durable agent engine — queued multi-step ReAct loops, real-time streaming, loop detection, budget caps.
    • LLM evals & guardrails — LLM-as-judge scoring, golden regression gates in CI, jailbreak-resistant sanitization, calibration tracking.
    • Personalization — an embedding pipeline with per-user taste vectors on off-the-shelf embedding models.
    • React 19
    • TypeScript
    • Supabase (Postgres + RLS)
    • Multi-tenant RBAC
    • 120+ production migrations
    View — showme-live.com
  2. SaaS · Independent 2024 — Present

    OsekOS

    Founder / Full-Stack Engineer

    A WhatsApp-first, multi-tenant SaaS built on the WhatsApp Business API — auth, billing, real-time, and production infra, built with AI-assisted development.

    • Multi-tenant architecture on the WhatsApp Business API: authentication, billing, real-time messaging, production infrastructure.
    • Built with AI-assisted development — Claude, Gemini, and MCP tooling in the loop.
    • Angular 21
    • NestJS
    • GraphQL
    • Prisma
    • WhatsApp Business API
    Private product — no public link
  3. AI video analytics · Independent 2024 — Present

    FootAnalytics — MatchCut

    Founder / Full-Stack Engineer

    AI video analytics built on event-driven microservices. I worked the ML inference pipeline and GPU acceleration — integration and cost optimization, not model training.

    • Event-driven microservices feeding an ML inference pipeline.
    • GPU acceleration — integration and cost optimization across the pipeline.
    • Event-driven microservices
    • ML inference pipeline
    • GPU acceleration
    View — matchcut.ai

02 — About

How I work

Co-Founder & CTO of an AI-native live-events platform — an LLM agent, RAG, and an evaluation harness live in production.

Ten years in software development, nine of them full-stack in production — across banking, payments, payroll, HR and cybersecurity: regulated, sensitive-data environments.

TypeScript full-stack (React, Angular, NestJS, Node.js), with Python for ML-pipeline integration.

Ships AI end to end: agentic workflows, prompt & context engineering, MCP tooling, evals & guardrails.

03 — Experience

Ten years, mostly full-stack

  1. 2026 — Present

    Co-Founder & CTO · ShowMe

    Demand-driven live-events platform, live in production; owns architecture end to end.

    • Production LLM agent (web + WhatsApp Business API): provider-agnostic LLM gateway with failover, RAG over live catalog, tool calling, structured actions with human handoff.
    • Durable agent engine — queued multi-step ReAct loops, real-time streaming, loop detection, budget caps.
    • LLM evals & guardrails — LLM-as-judge scoring, golden regression gates in CI, jailbreak-resistant sanitization, calibration tracking.
    • Personalization — embedding pipeline + per-user taste vectors on off-the-shelf embedding models.
    • React 19
    • TypeScript
    • Supabase (Postgres + RLS)
    • Multi-tenant RBAC
    • 120+ production migrations
  2. 2024 — Present

    Founder / Full-Stack Engineer · Independent Products

    • OsekOS — WhatsApp-first multi-tenant SaaS on the WhatsApp Business API (Angular 21, NestJS, GraphQL, Prisma): auth, billing, real-time, production infra; built with AI-assisted development (Claude, Gemini, MCP).
    • FootAnalytics (public product MatchCut) — AI video analytics: event-driven microservices, ML inference pipeline, GPU acceleration — integration and cost optimization.
  3. 2024 — 2025

    Senior Full-Stack Engineer (Contract)

    • Discount Bank (2025) — enterprise Angular apps under strict banking security & compliance.
    • Spikerz (2024) — built & stabilized core product flows at an early-stage cybersecurity startup.
  4. Sep 2022 — Jan 2024

    Senior Front-End Engineer · E-Square

    Subcontracted to HiBob (HR SaaS) and Guardicore (cyber). Owned front-end architecture.

    • Front-end architecture: Nx monorepo, Storybook, Akita.
    • Testing pipelines (Cypress); AWS + GitHub Actions CI/CD.
  5. 2016 — 2022

    Earlier roles

    • Opal Payment (fintech) — high-reliability payment flows, Angular, Azure.
    • Malam Payroll — Senior Frontend Developer: architecture, standards, mentoring.
    • Matrix.
    • TradAir — Angular, legacy migrations, UI performance.
    • TechFinancials (2016) — HTML/CSS/JavaScript: landing & marketing pages.

Education

  • SCE — Shamoon College of Engineering B.Sc. Electrical & Electronic Engineering · 2009 — 2013
  • John Bryce Java EE Full-Stack · 2014 — 2015

Languages

  • Hebrew (native)
  • English
  • Russian

04 — Skills

The toolkit

AI / LLM

  • LLM integration & orchestration
  • RAG
  • Embeddings
  • Vector search
  • Agentic workflows
  • Tool calling
  • MCP
  • Prompt & context engineering
  • LLM evaluation & LLM-as-judge
  • Guardrails & safety filtering
  • Cost & latency optimization

Languages & Testing

  • TypeScript
  • JavaScript
  • Python (working — ML pipeline integration)
  • Cypress
  • Jasmine
  • Karma
  • TDD

Back-End & Cloud

  • NestJS
  • Node.js
  • GraphQL
  • REST
  • WebSockets
  • Prisma
  • PostgreSQL
  • Supabase
  • Serverless & edge functions
  • AWS
  • Azure
  • Docker
  • GitHub Actions CI/CD
  • Microservices
  • Event-driven architecture

Front-End

  • React 19
  • Angular (2–21)
  • RxJS
  • Signals
  • NgRx
  • Akita
  • shadcn/ui
  • Storybook
  • Nx monorepo

05 — Contact

Let's talk

Open to senior full-stack / applied-AI roles

AI coaching & consulting
Book a call Prefer to talk? Grab a slot.

Download CV

CV — English (PDF) CV — Hebrew (PDF)