Available for Projects — 2026

M8WRP

HXWOM2P

AI/ML Engineer·LLM Engineer·Full-Stack Developer

I build production AI applications — from LLM integrations and recommendation engines to scalable backends. End-to-end, from model to deployment.

kamil@dev ~
Services

What I Do

🤖01

AI & LLM Engineering

Production-ready LLM integrations, prompt engineering, model routing and evaluation pipelines. Built for reliability at scale.

OpenAIAnthropicGoogle GeminiLangChainRAG
⚙️02

Backend Development

Scalable APIs in Java/Spring Boot and Python/FastAPI. PostgreSQL, Redis, Celery. Built for reliability and performance.

FastAPISpring BootPostgreSQLRedisCelery
🧠03

ML Systems

Recommendation engines, visual search, TensorFlow/PyTorch models deployed to production with proper monitoring.

PyTorchTensorFlowscikit-learnMLflow
🔄04

AI Automation

Agentic workflows, data pipelines, CI/CD for AI features. From prototype to production-ready system.

DockerGitHub ActionsCI/CDPlaywright
Projects

Selected Work

Betting Hope screenshot
📈

Betting Hope

LIVE

Crypto Trading AI

Automated crypto trading with 14+ algorithms, real-time signal analysis from Telegram & Discord, and live Binance/Bybit integration.

PythonFastAPIPostgreSQLRedisCeleryccxt

14 algorithms · 800k+ OHLCV candles

View Case Study
Faceless Studio screenshot
🎬

Faceless Studio

IN DEV

AI Instagram Reels Factory

End-to-end platform for generating, rendering and publishing AI-powered faceless Instagram Reels at scale.

Next.js 15TypeScriptRemotionBullMQOpenAIElevenLabs

3 Remotion templates · Full publish pipeline

View Case Study
🤖
🤖

OpenClaw AI System

PRODUCTION

13-Agent AI Infrastructure

Custom home AI infrastructure with 13 specialized agents, self-learning memory, Home Assistant integration and crypto monitoring.

Node.jsTypeScriptPostgreSQLOllamaDockerTailscale

13 agents · 850 HA entities · 14 containers

Internal Project

SALESmanago AI

COMMERCIAL

LLM Features in Enterprise MarTech

Production AI features for enterprise marketing platform — LLM integrations, visual recommendation engine, and 4x latency improvement.

Java 17Spring BootPythonTensorFlowPyTorchGCP

600+ tests · 20s → 5s latency · Production scale

Internal Project
Stack

Engineering Stack

🐍PythonPrimary language · 4+ years
🤖LLM EngineeringGPT-4 · Claude · Gemini · DALL·E
🚀FastAPI + Spring BootProduction-grade REST APIs
⚛️Next.js 15 + TypeScriptFull-stack frontend
Java 17
🗄️Hibernate
🌿Celery
📬BullMQ
🔥PyTorch
🧠TensorFlow
🤗Hugging Face
📊scikit-learn
🔗LangChain
✍️Prompt Engineering
🏗️RAG Architecture
📈MLflow
🐘PostgreSQL
Redis
🔍pgvector
📦S3 / MinIO
🔷Prisma
🐍SQLAlchemy
🐳Docker
⚙️GitHub Actions
☁️GCP
🌐Cloudflare
🔒Tailscale
🐧Linux
🚀CI/CD
📡Sentry / Grafana
⚛️React
🎨Tailwind CSS
🎭Framer Motion
🎬Remotion
🧪pytest
JUnit
🎭Playwright
About

Who I Am

KK

Kamil Kaletka

AI/ML Engineer @ SALESmanago

AI/ML Engineer at SALESmanago, building production AI systems that bridge the gap between model capabilities and real-world reliability. I work end-to-end — from LLM integration and API design to monitoring, testing and CI/CD.

0+
Years Experience
0
Trading Algorithms
0+
Automated Tests
0x
Latency Improvement
Contact

Let's Build
Something

Open to AI Engineering roles and interesting projects