VLViktor Lin

Senior Software Engineer

Viktor Lin

Building scalable AI and full-stack products for modern teams.

7+ years designing and shipping production-grade web applications, AI platforms, and data systems with React, Next.js, Python, Node.js, LLM integration, and cloud-native architectures.

Contact ViktorExplore ProjectsDownload resume
20-40% system performance improvements40+ successful production deploymentsUp to 70% workflow automation gains

Profile

Engineering across product, frontend, backend, and AI infrastructure.

Strong background in system architecture, performance optimization, API development, and scalable cloud deployments. Focused on delivering measurable outcomes in reliability, efficiency, and product velocity.

Product EngineeringAI IntegrationRAG SystemsData PipelinesSystem DesignPerformance Optimization

Professional Experience

Roles and impact across 7+ years

Sep 2023 - PresentHong Kong · Remote

Senior Software Engineer (AI & Full Stack)

Hong Kong Branch of Digital Heroes

  • Architected full-stack applications with integrated AI, improving performance by 20-40% and increasing engagement.
  • Designed backend APIs and pipelines supporting 40+ production deployments.
  • Implemented LLM-based automation and decision-support features to improve internal operations.
  • Delivered 5-12 production solutions with cross-functional teams, reducing delivery timelines by 15-30%.
Feb 2022 - Aug 2023Kyiv, Ukraine

AI & Data Engineer

DataArt

  • Built end-to-end ML pipelines, improving processing efficiency by 35-60%.
  • Integrated enterprise LLM workflows that improved business efficiency by up to 70%.
  • Developed robust data workflows for training, inference, and analytics pipelines.
  • Optimized scalable processing architecture, improving platform performance by 25-50%.
Apr 2019 - Jan 2022Postbauer-Heng, Germany

Frontend Engineer

Digital Heroes

  • Built high-performance apps with React, Next.js, and TypeScript.
  • Integrated backend APIs and dynamic features into responsive interfaces.
  • Improved usability, page speed, and frontend maintainability at scale.
  • Contributed to architecture decisions that improved long-term scalability.
Delivery Scope
0+Years of engineering experience
0+Production deployments
0%Workflow efficiency improvement
0%Platform performance gains

Selected Work

Modern software systems delivered in production

AI

LLM Automation Platform

Prompt orchestration, API workflows, and human-in-the-loop approval pipelines.

LLM Integration · Python · Node.js
RAG

Enterprise Knowledge Systems

Retrieval-augmented applications for secure, fast enterprise knowledge access.

RAG · FastAPI · PostgreSQL
ETL

Data & ML Pipelines

End-to-end pipelines for ETL, model training, inference, and analytics.

PyTorch · Databricks · GCP

Project History

Worked projects with visual previews

Preview of LLM automation platform dashboard
2024 - PresentAI Platform

LLM Workflow Orchestration Platform

LLM orchestration product connecting agents, APIs, and approval workflows.

  • Reduced manual effort and response latency across operations teams.
  • Introduced modular services for faster releases and safer iterations.
Preview of enterprise knowledge retrieval portal
2023 - 2024Enterprise Search

Enterprise RAG Knowledge Portal

Secure internal portal for enterprise retrieval and document intelligence.

  • Connected internal docs, tickets, and structured sources into one UX.
  • Improved retrieval quality and answer confidence with tuned indexing.
Preview of machine learning data platform
2022 - 2023Data Engineering

Data + ML Pipeline Platform

End-to-end training, inference, and analytics workflows for ML delivery.

  • Increased processing efficiency by 35-60% through pipeline redesign.
  • Added reliability checks and scalable orchestration for production use.
Preview of frontend platform architecture
2019 - 2022Frontend Platform

High-Performance Web Application Suite

React and Next.js product interfaces with modular frontend architecture.

  • Improved UX and page performance on complex, data-heavy web platforms.
  • Strengthened maintainability with reusable patterns and typed components.
Preview of cloud deployment and API architecture
Cross-roleCloud & APIs

Cloud-Native API and Service Architecture

Backend services and deployment architecture built for scale and reliability.

  • Designed modular APIs and service boundaries for faster feature delivery.
  • Improved maintainability through observability and cleaner release flows.

Core Skills

Practical tools for production delivery

Languages

  • Python
  • JavaScript
  • TypeScript
  • SQL

Frontend

  • React
  • Next.js
  • Vue.js
  • Responsive UI

Backend

  • Node.js
  • Express
  • Django
  • FastAPI
  • Flask
  • REST APIs

AI / ML

  • LLM integration
  • Prompt engineering
  • RAG
  • LangGraph
  • PyTorch

Data engineering

  • ETL pipelines
  • Model training
  • Analytics pipelines

Cloud & DevOps

  • GCP
  • Databricks
  • CI/CD
  • Git
  • Cloud architecture

Databases

  • PostgreSQL
  • MongoDB
  • MySQL

Blockchain

  • Ethereum
  • Web3.js
  • Smart contracts
  • NFT
  • DeFi

Academic foundation and continuous learning

Education

2013 - 2017

Bachelor of Science in Computer Science

National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute'

Qualifications

Data dashboards and charts representing data science and AI practice coursework
2021

Data Science and AI in Practice

Udemy — Applied ML, data pipelines, and enterprise AI integration.

Full stack web development on a laptop workspace
2018

Full Stack Web Development

freeCodeCamp — Scalable frontend and backend development practices.

Resume

Download my CV

PDF overview of experience, impact metrics, and technical skills. Same file as shared with hiring teams.

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Contact

Build scalable AI and full-stack systems with Viktor.

Viktor LinPrague, Czech RepublicFull remote

Contact methods