FOUNDER · AI/ML ENGINEER

Anton Moskvin — Founder and AI/ML Engineer at AI SaaS Solution

I design and build AI products together with their interface, data, backend, and integrations. I work remotely, from problem research and an early prototype to an agreed launch and the next iteration.

WORLDWIDE · REMOTE

01 · WORK DIRECTIONS

AI development as one product system

AI SaaS Solution takes on challenges where value depends not only on a model, but also on the user flow, data quality, interface, APIs, and a measurable outcome.

  • Custom AI product development
  • AI MVP development
  • RAG and AI assistant development
  • AI business process automation
  • AI agent development services
  • AI implementation and integration services
  • AI document automation services

02 · APPROACH

From research to launch

Every stage ends with a verifiable result. We name the actual project stage clearly: research, concept, prototype, MVP, or live product.

  1. 01

    Research

    Clarify the problem, users, data, constraints, and success criteria before expensive development.

  2. 02

    Prototype

    Test the highest risk with a UX prototype or technical spike and document what remains unproven.

  3. 03

    MVP

    Build the smallest end-to-end flow with AI/ML, interface, backend, and feedback.

  4. 04

    Launch and iteration

    Deploy the agreed scope, validate real use cases, and plan the next iteration from evidence.

03 · PROJECTS

Real projects with their stage stated honestly

The portfolio combines public products with technical MVPs, prototypes, and concepts. Every project page separates what works now from the limitations that remain.

01 · Production implementation

AI Sales Assistant for Kommo CRM

A bilingual AI assistant for WhatsApp and Kommo CRM: it answers from a verified knowledge base, qualifies leads, records deal parameters, and hands conversations to a manager under explicit safety rules.

Open case study
02 · In production

AI Digital Insider

An ecosystem of technology content and practical AI tools.

Open case study
03 · Public technical beta

PLC WEB

A browser-based FBD workspace for designing, validating, and simulating PLC logic.

Open case study
04 · MVP / staging

GPU Market

An MVP/staging P2P platform for GPU rental with web workflows, an API, and a protected local provider runtime.

Open case study
05 · CVM-function MCP MVP

Marketing Optimisation

An AI-CVM platform whose target outcome is replacing the routine work of a dedicated CVM department, from CRM analysis to incremental-margin measurement.

Open case study
06 · Public prototype and voice test

Iizhik.RF

A public content prototype with short stories, a mini-game, and a Sleep Stories section intended for future AI narration.

Open case study
07 · MVP concept

Legal Support MCP

An MCP-layer concept for reviewing technical specifications and contracts: risks, questions, sources, and draft wording remain within a human-controlled workflow.

Open case study
08 · Alpha 0.1.1 · first production integration

PathWeaver

A typed and auditable Python framework for analyzing states, alternative paths, and scenarios while keeping the structural core separate from the LLM layer.

Open case study
09 · Public MVP · Reading v2

Gadalnya

A public personalised reading: profile, baseline situation, three cards, interpretation, and an interactive meaning map.

Open case study

CONTACT

Discuss your challenge directly

Describe the problem, available data, and desired outcome. You do not need a chosen stack or a detailed specification for the first conversation.