SOFTWARE ARCHITECT / AI BUILDER / AUTHOR

Deep AI Engineering. Proven Product Success.

I build scalable systems around AI that drive real business results. Every product I've architected or launched has been a market success.

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Years Building
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GitHub Stars
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Microservices Shipped
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Published Book
Kostyantyn Pshenychnyy // human_in_the_loop
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01 / ABOUT

Signal over noise.

Engineering grounded in product reality — systems that are as smart as the algorithms they power.

TRACK_RECORD

The "Midas Touch" in Tech

It's not luck; it's engineering grounded in product reality. Every major platform I've helped build—from fintech startups to healthcare AI—has succeeded. I don't just deliver code; I deliver viable, scalable businesses. I combine deep technical expertise in AI agents, RAG, and cloud architecture with a relentless focus on user value.

CURRENT_FOCUS

Architecting Intelligence

We are moving beyond simple chatbots to complex, reasoning systems. My work focuses on building the infrastructure that makes AI reliable and business-critical. Whether it's orchestrating Kubernetes clusters for ML workloads or designing domain-driven microservices, I ensure the underlying system is as smart as the algorithms it powers.

02 / EXPERIENCE

Where I've made impact.

A decade of building products people rely on.

2025 — PRESENT

CTO

call2action

AI-native recruiting platform for trucking: a driver-facing job marketplace wired to a carrier CRM, where an AI voice agent contacts a driver within seconds of applying.

  • Took an AI-native driver-recruiting platform from concept to a working two-sided product connecting carriers and drivers
  • Bet the product on AI-initiated contact: an AI voice agent reaches a driver within ~7 seconds of applying, replacing a recruiting model where callbacks take hours and most leads go cold
  • Designed the routing layer that delivers qualified, structured applicants into each carrier's pipeline without manual triage
  • Built the go-to-market data foundation: a pipeline over federal carrier records narrowing the national registry to 100,000+ targeted freight carriers
  • Made AI conversation quality measurable with an LLM classifier that scores every call, so recruiters act on outcomes instead of listening to recordings
TypeScriptNode.jsNestJSPostgreSQLGCPKubernetesAI Voice AgentsLLMOpenAI
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2025 — 2026

Advisor | Founding Engineer

Vizco AI

Legal-tech company automating document-heavy legal workflows with an agent system that drafts and assembles client case documents end-to-end.

  • As founding engineer, built the company's core product and took it from prototype to production on live client matters
  • Unblocked commercial LLM use on confidential legal files by designing a fail-closed redaction architecture; without it, client documents could not be sent to third-party models at all
  • Made the product deployable inside firms' existing environments through an MCP tool platform over Microsoft 365, turning client onboarding from a data migration into a connection
  • Put capability delivery in non-engineers' hands with a versioned "skills" system, taking engineering off the critical path for every new agent behavior
  • Led reliability work that eliminated the failure modes taking the pipeline down under load
TypeScriptNestJSPythonAzureK8SAI AgentsMCPRAGPostgreSQL
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2023 — 2025

Head of Engineering | Head of AI

Vitaliti

Led technology strategy. Built the engineering team and core architecture from scratch.

  • Leading technology strategy in alignment with business objectives
  • Managing AWS cloud infrastructure for scalability and reliability
  • Orchestrating containers with Kubernetes for operational efficiency
  • Implementing Infrastructure as Code with Terraform for consistent environments
  • Directing development in Node.js, TypeScript for back-end and React for front-end
  • Applying Domain-Driven Design (DDD) for aligning tech with business needs
  • Built the engineering team and development processes from scratch, including hiring, onboarding, and establishing engineering best practices
  • Designed and implemented the backend architecture of the core application with a focus on scalability, reliability, and performance
  • Optimized cloud infrastructure costs through architectural improvements and efficient resource management
  • Developed a custom RAG system and knowledge graph to power a personalized healthcare recommendation engine
  • Designed and launched an intelligent Health Assistant agent with contextual reasoning capabilities
AWSK8SPythonRAGTypeScriptReactTerraformPostgreSQLPrismaDDD
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2021 — 2023

Technical Lead

Shopmonkey

System design, technology stack selection, and team leadership. Focused on performance optimization and efficient delivery.

  • Successfully designed and implemented the server-side architecture for a mobile application from scratch, increasing system performance by 40% and reducing maintenance costs by 25%
  • Built and led a high-performing team of 5+ engineers, ensuring timely delivery of features and improvements, leading to a 20% reduction in time-to-market
  • Optimized the technology stack selection process, reducing development time by 30% and improving system scalability, resulting in a 15% increase in user satisfaction
TypeScriptNestJSPrismaKafkaGraphQLMongoDBRedisElasticsearchAWSHelm
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2019 — 2021

Senior Software Engineer

UAPAY

Developed a scalable fintech platform using microservice architecture to handle rapid business changes.

  • Designed and implemented over 60 microservices using domain-driven design, significantly enhancing system modularity and scalability, leading to a 25% increase in deployment efficiency
  • Played a key role in developing a highly scalable fintech startup, handling rapid business changes, which increased user adoption by 35% within the first year
  • Improved system performance and resilience by integrating advanced microservices architecture and AWS solutions, reducing system downtime by 40%
TypeScriptNode.jsPrismaDDDRabbitMQPostgreSQLMariaDBOracleRedisK8SJSON-RPC
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2017 — 2019

Senior Software Engineer

Genesis Tech

Designed and developed backends for multiple applications, ensuring robust service-oriented architecture.

  • Designed and developed backends for 5 applications, ensuring robust and scalable service-oriented architecture, resulting in a 50% reduction in development costs
  • Created a comprehensive system for collecting and aggregating user behavior analytics, increasing product profitability by 27%
  • Successfully solved complex business problems through innovative software solutions, improving application performance by 30% and increasing user retention by 20%
TypeScriptNode.jsVueGraphQLWebSocketApolloPostgreSQLMySQLRedisRabbitMQAWS
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2015 — 2017

Software Engineer

SmartyAds

Development and support of a highly loaded (10,000+ RPS) automated programmatic real-time trading system.

  • Developed both monolithic and microservice architecture for the platform
  • Created a custom database migration service for the platform
  • Initiated and introduced Continuous Integration technology into the project
Node.jsMySQLAerospikeClickHouseRedisMemcachedDockerOpenRTB
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2012 — 2015

Android Developer & Frontend Freelance

Genii Studio & Freelance

Streaming media-player project with MVP architecture and freelance frontend development.

  • Used MVP architecture for streaming media-player project
  • Developed media player, Chromecast support, in-app purchases modules
  • Two years of frontend development experience (HTML, CSS, JS) as freelancer
JavaAndroid SDKGoogle CastHTMLCSSJavaScript
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03 / OPEN SOURCE

Built for the community.

From educational games to production RAG frameworks.

server-survival

6k

Tower defense game that teaches cloud architecture. Build infrastructure, survive traffic, learn scaling.

JavaScriptGameEducationCloud
VIEW ON GITHUB →

minima-aws

22

Production-ready RAG framework on AWS — Qdrant vector DB, Bedrock, S3 document pipeline.

PythonAWSRAGQdrantLLM
VIEW ON GITHUB →

stackcanvas

NEW

Live infrastructure canvas for AI coding agents over MCP — see and approve what an agent changes in your Terraform, locally.

TypeScriptMCPTerraformDevTools
VIEW ON GITHUB →
04 / PUBLISHED AUTHOR

The Book.

At the intersection of machine learning and cognition.

How to Tell 5 from 6: How Machines Learned to Think

How to Tell 5 from 6: How Machines Learned to Think

A journey from the simple question of recognizing digits to the heart of modern AI. Discover how machines learn from examples—from pixels to perception—and understand the principles powering systems like GPT. No prerequisites, just a clear path to genuine understanding.

VIEW ON AMAZON
05 / WRITING & SPEAKING

Ideas worth sharing.

Articles on architecture, AI, and lessons from the field.

06 / RECENT IN BLOG

Thinking out loud.

Notes from building AI systems in production — strategy, architecture, and what actually matters.

VIEW ALL POSTS →
07 / TECH STACK

Tools of the trade.

Technologies I use daily with deep production experience.

Languages

TypeScriptPythonJavaScriptNode.jsGoJavaSQL

AI & ML

LangChainRAGPyTorchTensorFlowOllamavLLMHugging FaceMCP

Frameworks

NestJSExpressApolloReactVue

Data & Messaging

PostgreSQLMongoDBClickHouseRedisKafkaRabbitMQElasticsearchQdrant

Cloud & DevOps

AWSAzureGCPKubernetesDockerTerraformHelmGitHub ActionsServerless

Architecture

MicroservicesDDDEvent-DrivenSOLIDRESTGraphQLWebSocket
08 / CONTACT

Let's build something people remember.

Open to conversations about architecture, AI, collaborations, or just connecting.