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Open to new opportunitiesSan Francisco Bay Area, CA

AI-Focused Full-Stack Engineer

Igal
Babushkin

I build production AI: generative AI platforms, LLM agents with tool calling, RAG over vector search, and multimodal VLM engines. AI-focused software engineer with 5+ years shipping production full-stack, backend and AI systems across healthcare, fintech and SaaS, with technical leadership and end-to-end ownership, from the model and agent plumbing to the UI people actually use.

5+
yrs building production software
GenAI
LLM + image-model platforms in production
RAG
+ vector search in production
VLM
multimodal engines at 2 companies
LLMs/Generative AI/Tool calling/RAG/Vector search/FAISS/Embeddings/PydanticAI/LangChain/LangGraph/VLMs/Image generation/OpenAI/OCR/Python/FastAPI/TypeScript/React/Next.js/.NET/PostgreSQL/GCP/Docker/LLMs/Generative AI/Tool calling/RAG/Vector search/FAISS/Embeddings/PydanticAI/LangChain/LangGraph/VLMs/Image generation/OpenAI/OCR/Python/FastAPI/TypeScript/React/Next.js/.NET/PostgreSQL/GCP/Docker/
01Selected Work

Things I've built

AI · 2026

Vismo

Live

AI motion graphics for Hebrew short-form video

Turns a Hebrew talking-head video into a finished short with explanatory motion graphics timed to the exact word being said. Whisper speech-to-text (an ivrit.ai Hebrew model) gives per-word timings, Claude reads the transcript to decide what to draw and writes each animation as code, and YuNet face detection keeps graphics clear of the speaker. Runs on CPU with no GPU, with a web editor that composites the graphics live over the video.

Graphics drawn from the transcript, timed to the word
WhisperClaudeComputer VisionPythonPlaywright
AI · 2025 to 2026

Mashkanta

Live

Hebrew mortgage-advisory platform for a live finance business

Right-to-left Hebrew platform where borrowers answer a branching questionnaire and get a scored assessment, a document portal and a paid mortgage-mix recommendation. A GPT-5.1 agent with structured outputs (strict JSON schema) splits the variable-rate tracks inside deterministic guardrails, with a rule-based fallback and versioned prompts tested in an admin simulator. FastAPI and Supabase Postgres, with payments, CRM sync and ~800 tests.

LLM mortgage-mix agent, ~800 tests
OpenAIStructured outputsFastAPINext.jsSupabaseRTL
AI · 2023 to 2026

SimpleTax Platform

Live

AI tax platform, VLM extraction + RAG chatbot

The AI tax platform where I led full-stack. A VLM engine converts multilingual tax forms into structured U.S. tax data, LLM-powered assistants automate support and tax workflows for customers and internal teams using RAG over vector search (LangChain + FAISS), and a tax optimization engine analyzes financial data to find savings. Also improved platform performance by 40%.

VLM extraction + RAG assistants in production
VLM / MultimodalLLMsRAGVector searchLangChain.NET / Vue
Bot · 2025 to 2026

AI News Bot

Live

Autonomous AI news publisher for LinkedIn

Every morning it pulls headlines from 10 RSS feeds and sends them to Telegram. For each one I approve, Claude writes the LinkedIn post and a local Z-Image Turbo diffusion model (run through ComfyUI, with OpenAI image generation as fallback) illustrates it. A second tap publishes it to the company page through the LinkedIn API.

Two taps from headline to published post
PythonClaudeDiffusionComfyUITelegramLinkedIn API
AI · 2026

Coupon Guard

Live

Stops double-redeemed coupons at Pinat HaOfe bakery

Sellers photograph the customer's coupon screen as they already did, and the photo itself becomes the redemption. Google Vision OCR returns every word with its coordinates, a label-proximity algorithm picks the coupon code out of up to 16 competing numbers on the receipt, and a burn list answers with a green or red tone in under a second. Offline queue, manager dashboard with duplicate diagnostics, CSV export.

6/6 real photos read correctly, ~700ms
Google Vision OCRNode.jsExpressSQLitePWA
Web · 2025

Baby Bet

Live

Bilingual parimutuel betting pool (play-money)

A Hebrew-RTL + English betting pool where friends spend free credits predicting a baby's gender, birth date, weight and more. Each market is a parimutuel pot split among the closest guesses, with all credit-minting locked down in Postgres Row-Level Security and SECURITY DEFINER functions behind an append-only ledger.

Parimutuel settlement engine
ReactViteSupabaseRLSRTL
02Experience

Where I've worked

2026 to Present

AI Software Engineer

·OpenLoop Health
  • AI Website Generator: built a generative AI platform for GLP-1 and other medication programs that uses LLMs and image models to create branded websites, copy, logos and visual assets.
  • VLM Engine: built a multimodal vision-language capability that analyzes visual inputs and provides structured context for automated site generation.
  • AI Assistant: built an LLM-powered assistant with tool calling that guides users through site creation and refines generated content.
Generative AILLMsImage generationVLM / MultimodalTool calling
2023 to 2026

Full-Stack Leader

·SimpleTax
  • VLM Engine: built a multimodal document-extraction system that converts multilingual tax forms into structured U.S. tax data.
  • AI Chatbot: built LLM-powered assistants for customers and internal teams using RAG + vector search (LangChain, FAISS), automating support and tax workflows.
  • Tax Optimization Engine: analyzed financial data to identify tax-saving opportunities.
  • Led the front-end team, improving code quality, enforcing best practices and optimizing team workflows.
  • Improved platform performance by 40% through API optimization, lazy loading and more efficient data retrieval.
VLM / MultimodalLLMsRAGVector searchLangChain.NET / VueLeadership
2022 to 2023

Full-Stack Developer

·KeyLabs
  • Developed a video annotation platform for training computer vision and multimodal AI models.
  • Designed and owned the server authentication system.
  • Reached 80% automated test coverage, sharply improving stability.
  • Tightened front-end ↔ back-end integration for a smoother UX.
Computer Vision dataNode.jsAuthTestingReact
2022

Backend Developer

·HyperGuest
  • Built and optimized backend services for a fast-growing hospitality marketplace.
  • Partnered with cross-functional teams and external partners to ship integrations.
Node.jsAPIsIntegrations
03Toolkit

Stacks I reach for

AI & LLMs

LLMs / OpenAI APIsRAGVector search (FAISS)EmbeddingsTool callingLLM evalsPrompt & agent design

Agents & Orchestration

PydanticAILangChainLangGraphOpenAI Realtime (voice)

Multimodal & Generative

VLMs / multimodalImage generationDocument intelligenceOCR / TesseractStructured extraction

Languages

PythonTypeScriptJavaScriptC#PHPSQL

Full Stack

ReactNext.jsVueNuxtNode.jsExpressFastAPI.NETTailwind

Data & DevOps

PostgreSQLMySQLMongoDBSupabaseGCPDockerGitCI/CDLinux
04About

A bit about me

Igal Babushkin, AI-Focused Full-Stack Engineer

Igal Babushkin · San Francisco Bay Area, CA

I'm an AI-focused software engineer with a computer-science degree from Ben-Gurion University and 5+ years shipping production software across healthcare, fintech and SaaS, including technical leadership and end-to-end product ownership. I'm a U.S. permanent resident based in the Bay Area.

My focus is applied AI engineering. At OpenLoop Health I build a generative AI platform that uses LLMs and image models to create complete branded websites, copy, logos and visual assets, with a VLM engine and a tool-calling AI assistant. Before that I led full-stack at SimpleTax, where I built a VLM engine that turns multilingual tax forms into structured U.S. tax data and LLM assistants backed by RAG and vector search (LangChain + FAISS). I care about the whole path: retrieval quality, prompt and agent design, evals, and the interface that makes it usable.

Off the clock I keep shipping: AI video pipelines, realtime voice agents, game-theory bots, and plenty of automation. I move fast, wear many hats, and learn whatever the problem needs. If it ships and people use it, I'm in.

At a glance

  • B.Sc. Computer Science, Ben-Gurion University
  • Permanent Resident · U.S. work authorized
  • English · Hebrew (native) · Russian

Contact

Let's build something
worth shipping.

I'm open to full-time roles and interesting collaborations. The fastest way to reach me is email, I answer quickly.