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Martin Kolda
AI Developer specialized in enterprise-grade Python solutions, RAG pipelines, and conversational agents, paired with ultra-fast modern web development in Astro and Next.js.
Hands-on engineering across enterprise energy optimization, conversational e-commerce agents, and large-scale RAG retrieval systems.
Enterprise AI Solutions
"Architecting mission-critical generative AI and predictive systems for Central Europe's largest energy utility."
Developing specialized AI architectures for ČEZ a.s., integrating modern LLMs, autonomous agent workflows, and data pipelines to optimize industrial operations, knowledge retrieval, and enterprise efficiency.
- ├──Designed secure enterprise LLM inference pipelines with strict data privacy guarantees
- ├──Built specialized agentic workflows for operational domain reasoning
- ├──Engineered automated knowledge retrieval indexing across heterogenous documentation
- ├──Delivered robust Python backends with automated validation and monitoring
AI Shopping Assistant
"Next-gen conversational commerce assistant that drives user conversion and product discovery."
Engineered an intelligent conversational AI shopping assistant that guides buyers through multi-attribute product catalogs, answers queries in natural language, and seamlessly collects buyer requirements.
- ├──Created dynamic interactive shopping form powered by LLM intent extraction
- ├──Designed conversational product recommendation logic with context retention
- ├──Integrated lead qualification and automated notification workflows
- ├──Achieved sub-second response times for smooth user interactions
LangChain RAG & Data Management Platform
"High-throughput retrieval-augmented generation search engines and S3/Postgres data management."
Built core RAG search components and data ingestion infrastructure, enabling companies to turn massive unstructured document repositories into verified generative knowledge bases.
- ├──Engineered core RAG search component using LangChain and custom vector rerankers
- ├──Built end-to-end CRUD data management application for multi-tenant RAG datasets
- ├──Architected data storage across AWS S3, PostgreSQL, and scalable VectorDBs
- ├──Implemented chunking, embedding generation, and metadata filtering strategies
┌─────────────────────────────────┐ ┌────────────────────────────────┐
│ Enterprise Ingestion & Documents │ │ User Query / Conversational UI │
└────────────────┬────────────────┘ └───────────────┬────────────────┘
│ │
▼ ▼
┌───────────────────────────┐ ┌─────────────────────────────┐
│ Chunking & LangChain Parser │ │ Intent Classifier (FastAPI) │
└─────────────┬─────────────┘ └──────────────┬──────────────┘
│ │
▼ ▼
┌───────────────────────────┐ ┌─────────────────────────────┐
│ Dense / Sparse Embeddings │ │ Hybrid Semantic Search │
└─────────────┬─────────────┘ └──────────────┬──────────────┘
│ │
├──────────────────┬─────────────────────┤
▼ ▼ ▼
┌───────────────────────┐ ┌───────────────┐ ┌──────────────────────┐
│ PostgreSQL / pgvector │ │ Vector DB │ │ AWS S3 Raw Data Store│
└───────────────────────┘ └───────┬───────┘ └──────────────────────┘
│
▼
┌───────────────────────────┐
│ Context Injection & Rerank│
└─────────────┬─────────────┘
│
▼
┌───────────────────────────┐
│ Enterprise LLM Inference │
│ (ČEZ a.s. / Robosales AI) │
└─────────────┬─────────────┘
│
▼
┌───────────────────────────┐
│ Verified Output Streaming │
└───────────────────────────┘
Crafted with Astro, Next.js, and TypeScript. Engineered for near-instant load times, flawless mobile responsiveness, and zero-headache lead collection.
Modern Static & Hybrid Web Architecture
Combining static generation (SSG) in Astro with lightweight client islands, TypeScript safety, and Netlify Forms for dependable inquiry collection without server maintenance.
B2TS – Business & Tech Solutions
Modern, high-performance company presentation website with optimized typography, responsive layouts, and lightning-fast loading speeds.
- ✔Zero-latency static generation with instant navigation
- ✔Serverless contact form with spam protection & Netlify integration
- ✔100/100 Core Web Vitals score across mobile and desktop
- ✔Clean corporate identity and structured content presentation
VPT Lipno – Lake Resort & Accommodation
Engaging vacation rental portal for accommodation at Lake Lipno. Built to drive bookings with rich galleries, local activity guides, and direct inquiry forms.
- ✔High-res lazy loaded visual photo tours of apartments and lakeside surroundings
- ✔Interactive booking reservation inquiry workflow
- ✔SEO-optimized local tourism guides (skiing, sailing, hiking)
- ✔Mobile-first responsive UX tailored for travelers on the go
Doteku – Touch & Wellness Sanctuary
Atmospheric, soothing web presence for a premier massage and wellness studio, featuring clear service menus, pricing, and client inquiry channels.
- ✔Serene, elegant design aesthetic evoking tranquility and luxury
- ✔Clear service catalogue with pricing, duration, and practitioner details
- ✔Seamless mobile appointment inquiry and client data capture
- ✔Fast page loads ensuring minimal drop-off rate
Need a High-Speed Website or AI Integration for Your Business?
Whether you require an automated AI agent, enterprise RAG pipeline, or an ultra-fast Astro website with zero lag, let's talk.
✉ Contact Martin Kolda (mkko@seznam.cz)Track record across full-time engineering and independent contracting in Czechia's top energy and AI tech sectors.
AI Developer
Delivering high-end Artificial Intelligence solutions for ČEZ a.s. and independent enterprise clients.
- ›AI solution design & deployment for ČEZ a.s.
- ›Custom generative AI assistants and RAG orchestration
- ›Python enterprise system integration and secure API endpoints
Web Developer (Vývojář webových stránek)
Crafting bespoke, ultra-fast websites and web applications for businesses and regional brands.
- ›Building with Next.js & Astro frameworks combined with TypeScript
- ›Automated lead capture using Netlify Forms and webhook integrations
- ›Shipped client portals including b2ts.cz, vpt-lipno.cz, and doteku.cz
- ›Obsessive focus on Core Web Vitals, accessibility, and clean responsive design
AI / Python Developer
Engineered core RAG search components and data management infrastructure for enterprise knowledge retrieval.
- ›RAG search component implementation in Langchain
- ›CRUD data management application for multi-modal RAG systems
- ›Data layer integration with AWS S3, PostgreSQL, and specialized VectorDBs
- ›Prompt orchestration and retrieval ranking evaluations
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