Accepting projects · 2026
Graftsoft Studio

We Build Systems That Don't Fail.

Led by Egor Dultsev, Principal Engineer. Graftsoft specializes in AI pipelines, fintech scaling, and high-load architecture for companies where failure has a cost.

Small team. Senior execution. No juniors on critical paths.

Specializations

AI/LLM PipelinesFintech InfrastructureHigh-Load ArchitectureBlockchain Systems

We work at the intersection of hard problems.

Four service lines, all delivered at principal-engineer level. No hand-offs.

01

Find the real bottleneck.

Architectural Audits

We review your current system — codebase, infrastructure, or just a whiteboard design. We'll surface the actual bottlenecks, not the assumed ones, and hand you a written remediation plan.

System DesignCode ReviewPerformance ProfilingDB Query Analysis
02

Demos are easy. Production is not.

AI / LLM Production Pipelines

LLM integrations that don't fail under load: structured output validation, context management, observability, fallback chains, and async inference. Built for real traffic, not demos.

RAG ArchitectureLLM APIsAgent WorkflowsCost Optimization
03

Built for real money.

Fintech & Payment Infrastructure

Fiat-crypto exchange flows, payment rails, operator dashboards, and compliance-ready transaction lifecycle systems. Real-time WebSocket layers, OTP flows, and fraud-resistant state machines.

Exchange PlatformsWebSocketsRedis / BullMQTwilio / SMSPostgreSQL
04

The 3× ethos.

Performance Engineering

We've achieved 3× throughput gains and 30%+ latency reductions through architecture-level work: controlled RPC concurrency, intelligent caching, query optimization, and async job pipelines.

ProfilingQuery OptimizationCaching StrategyConcurrency Design

Not sure which service fits? Start with a 30-minute discovery call. No commitment.

Book a discovery call

Expertise at the core. Egor Dultsev.

ED

Egor Dultsev

Principal Engineer & Founder

I don't manage engineers building systems — I am the engineer building the system. 6+ years in production environments where performance, reliability, and correctness aren't negotiable.

My background spans fintech platforms (fiat-crypto exchange flows, payment rails), AI/LLM infrastructure (production inference pipelines, RAG systems, agent workflows), and blockchain integrations (smart contracts, multi-chain routing).

I founded Graftsoft to take on the class of problems that require both architectural thinking and hands-on implementation — often at the same time.

Production stack

TypeScriptNode.jsNestJSReactPostgreSQLRedisBullMQWebSocketsDockerAWSSolidityPython

B.Sc. Applied Informatics — SPbU

St. Petersburg · 2018–2022

I don't just manage; I architect and ship. Every engagement is hands-on at the principal level — from system design through to production deployment. No account managers, no hand-offs to junior teams.

6+

Years in production

High-load Node.js, distributed systems, fintech infrastructure.

Max performance gain

Achieved on a multi-chain routing layer through architecture-level optimization.

−30%

Latency reduction

Backend throughput improvement on a creator SaaS via caching and async processing.

92%+

Test coverage shipped

Built automated testing infrastructure on a blockchain platform from scratch.

Career timeline

  1. 2026 → now current

    Lead Full Stack Engineer

    AI / Fintech SaaS (NDA)

  2. 2025 → 2026

    Full Stack Engineer

    Creator SaaS platform (NDA)

  3. 2023 → 2025

    Backend / Blockchain Engineer

    Multi-chain transaction platform (NDA)

  4. 2022 → 2023

    Freelance Full Stack Engineer

    Fintech · SaaS · Analytics · 10+ projects

A defined process. No ambiguity.

Every engagement follows the same five-stage model. You always know what stage we're in and what comes next.

  1. 01

    Discovery Call

    30 min · No charge

    We talk about the problem — not the solution. What's breaking, what's the cost of failure, and what does "done" look like. I ask hard questions. No sales pitch.

  2. 02

    System Audit

    1–3 days · Async

    We review what exists: architecture diagrams, codebase, specs, or a napkin design. We profile, we instrument, and we identify the actual bottleneck — not the assumed one.

    Deliverable: Bottleneck report
  3. 03

    Tech Specs & Estimation

    2–5 days · Written

    You receive a structured scope document: architecture decisions, tech stack, phased timeline, and a cost estimate with clear line items. No ambiguity. No surprises.

    Deliverable: Scope document
  4. 04

    Agile Development

    Weekly cycles

    Iterative delivery with weekly demos. The repo is yours from day one. You can see every commit. We move fast and stay clean — because both matter on production systems.

    Deliverable: Weekly demo + commit log
  5. 05

    Deployment & Handoff

    Docs included

    Production deployment with monitoring in place. Full technical documentation. Optional async support for 30 days post-launch. You own everything — zero lock-in.

    Deliverable: Full documentation + runbook

Real projects. Real outcomes.

All under NDA. Tech stacks and outcomes are real. Full details available on request.

Request case studies
01 Fintech · AI NDA — details in DM

Real-time Fiat-Crypto Exchange

OTP-based exchange platform with a full request lifecycle: creation → operator interaction → completion. Embedded real-time chat, LLM-driven user onboarding, and async SMS processing.

The challenge

Sub-second state synchronization across operators and clients, fault-tolerant message delivery, and a fraud-resistant OTP flow under load.

Stack

NestJS WebSockets PostgreSQL Redis BullMQ Twilio LLM APIs React Docker AWS
7
Request lifecycle stages
<100ms
Real-time sync
02 AI · SaaS NDA — details in DM

AI-Powered Creator SaaS

Backend and analytics infrastructure for a creator monetization platform. LLM pipelines for content generation and onboarding, analytics engines for creator dashboards, and A/B testing infrastructure.

The challenge

High-volume analytics aggregation without blocking the critical request path, and keeping LLM inference costs predictable at scale.

Stack

Node.js TypeScript React PostgreSQL Redis LLM APIs Docker AWS
−30%
Backend latency reduction
−28%
Frontend perf improvement
03 Blockchain · Backend NDA — details in DM

High-Throughput Blockchain Routing

Multi-chain transaction routing layer with smart contract integrations and high-throughput backend services. Full architecture redesign to eliminate bottlenecks in the transaction processing pipeline.

The challenge

The existing routing service was the single-point bottleneck under load. Required architecture-level changes while keeping the live system stable during migration.

Stack

Node.js TypeScript Solidity Rust FFI PostgreSQL Redis WebSockets
Performance improvement
92%+
Test coverage

Have a hard problem? Let's talk about it.

Serious inquiries only. I respond within 24 hours. Tell me the problem — not the solution.