Senior AI & Frontend EngineerKyiv, Ukraine

Leonid Kuznetsov

๐Ÿค– Senior engineer focused on AI agents, frontend architecture, and measurable product impact across enterprise SaaS, Web3, and media platforms.

Static hero cube illustration

๐ŸŽ Why teams hire me at a glance.

โœจ Eight high-signal business metrics: delivery, speed, AI impact, optimization, team leverage, problem solving, and scaling design.

๐Ÿš€ Delivery Power

years shipping products

13+

From 0โ†’1 launches to enterprise refactors across AI, SaaS, Web3, and media.

โšก Performance Wins

frontend speed improvement

+35%

Measured gains from profiling, bundle optimization, rendering fixes, and caching strategy.

๐Ÿงฉ Plugin Systems

platform ecosystems

8+

Built plugins for Figma, Adobe, Canva, VSCode, ChatGPT, WordPress, Google Chrome, Microsoft ecosystems, and browser environments.

๐Ÿ‘ฅ Team Multiplier

engineers led

20

Mentored teams, raised code quality, and improved delivery predictability in product-critical orgs.

๐Ÿค– AI Productization

faster AI feature rollout

2x

Agentic workflows, prompts, and RAG pipelines accelerate production-ready AI delivery.

๐Ÿ“ˆ Optimization Depth

latency and waste reduction

-40%

Profiling, rendering optimization, caching, and request batching cut runtime and network overhead.

๐Ÿค Problem Resolution

critical blocker turnaround

<24h

Cross-team collaboration with product, design, and backend keeps delivery moving under pressure.

๐Ÿ—๏ธ Smart Architecture

capacity scaling potential

3x

Modular systems and automation patterns increase product throughput without linear team growth.

๐Ÿข Companies & Products

๐Ÿ”— Direct links to the companies and product surfaces where I shipped features and led delivery. Each card shows role, timeline, and impact focus.

10+ Product EnvironmentsEnterprise + StartupB2B & Consumer
Writer logo

Writer

2023 - Present

Core AI writing suite

Senior AI & Frontend Engineer

Tools: AI Studio ยท Writer Agent ยท Writer App

Chrome ExtensionAI Product DeliveryTypeScriptReact

๐Ÿค– Built Writer Agent + AI Studio Platform

๐ŸŒŸ Crafted high-impact AI product experiences at the intersection of autonomous workflows, enterprise security, and performance-focused frontend architecture.

  • โ€ข๐Ÿค– Writer Agent: Developed core features to structure and manage autonomous AI workflows.
  • โ€ข๐Ÿ”— Knowledge Graphs: Engineered OAuth apps to securely connect external data to AI models.
  • โ€ข๐Ÿ“Š Analytics: Built the centralized reporting tool with frontend automation and server-side logic.
  • โ€ข๐Ÿ” Security & Access: Designed SSO, SCIM, and IdP provisioning from scratch with E2E testing.
  • โ€ข๐Ÿ‘ฅ Platform Architecture: Architected frontend systems for Users, Teams, Roles, and Billing infrastructure.
  • โ€ขโšก Engineering: Drove refactoring and performance optimization across Writer App and Chrome extension integrations.
LottieFiles logo

LottieFiles

2025 - 2026

Cross-platform Plugin Suite

Senior Plugins Engineer (Contract)

Tools: All Plugins ยท Plugin Figma ยท Plugin After Effects ยท Plugin Animate ยท Plugin Canva ยท Plugin ChatGPT ยท Plugin WordPress ยท Plugin VSCode

Plugin DevelopmentMulti-PlatformLottieFiles APILottie PlayerOAuth

๐ŸŽฌ Built Multi-Platform Plugin Development Systems

โš™๏ธ Delivered production-ready plugin tooling with secure auth, conversion pipelines, and rendering optimization for large animation workloads.

  • โ€ข๐Ÿงฉ Built plugin systems across design, animation, CMS, and IDE ecosystems.
  • โ€ข๐Ÿ›ก๏ธ Implemented OAuth/token handling, secure storage, and host-specific permission flows.
  • โ€ข๐Ÿ”„ Delivered import/export workflows and robust file-conversion pipelines for animation formats.
  • โ€ข๐Ÿš€ Integrated LottieFiles API + Lottie Player with strong memory, bundle, and caching optimization.
Zenseact (Volvo Cars) logo

Zenseact (Volvo Cars)

2020 - 2023

Autonomous driving software

Senior Frontend Developer

ReactTypeScriptWebGLD3

๐Ÿš— Built Autopilot Vision Ops Dashboard

๐Ÿ“ก Delivered interfaces for high-frequency autonomous telemetry with close backend and hardware integration.

  • โ€ข๐Ÿ“ˆ Built dashboards for high-frequency autonomous telemetry and scenario debugging.
  • โ€ข๐Ÿง  Delivered real-time WebGL + D3 visual surfaces for engineering and validation teams.
  • โ€ข๐Ÿ”ง Aligned frontend workflows with backend and hardware testing pipelines.
Cato Networks logo

Cato Networks

Contract

Network & Security Admin Panels

Frontend Developer (Contract)

Admin PanelsReactJavaScriptHTML/CSSGraphQLContract

Product: Network & Security Admin Panels

๐Ÿ›ก๏ธ Built Network Security Admin Console

๐Ÿ—๏ธ Led frontend delivery for enterprise control panels managing networks, people, companies, certificates, and security operations.

  • โ€ข๐Ÿงฑ Built new admin screens from scratch and shipped iterative upgrades across existing surfaces.
  • โ€ข๐Ÿ” Deep-dived legacy code independently to deliver quick fixes and harden infra-related components.
  • โ€ขโœจ Proposed UX + backend interaction improvements for clearer, faster, and more reliable workflows.
MEGOGO logo

MEGOGO

2017 - 2020

OTT streaming platform

Engineering Team Lead

Team LeadershipStreaming PlayerSmart TVPerformance

๐Ÿ“บ Led Streaming Frontend Across 4 Platforms

๐ŸŽฏ Owned player and app delivery across web, Smart TV, mobile, and console for high-reliability broadcast scenarios.

  • โ€ข๐Ÿ‘ฅ Led a 20-engineer frontend organization across web and client platforms.
  • โ€ข๐Ÿงญ Owned player and app delivery for web, Smart TV, mobile, and console surfaces.
  • โ€ข๐Ÿš€ Improved release reliability for high-traffic live and VOD broadcasting.
IdeaSoft logo
Uniswap v4 analytics platform logo

IdeaSoft

2025

Uniswap v4 analytics platform

Senior Web3 Frontend Engineer

Tools: HookRank

ReactTypeScriptSubgraphUniswap v4

๐Ÿงช Built Uniswap v4 Hook Analytics

๐Ÿ“Š Built React/TypeScript analytics experiences with subgraph-backed filtering and on-chain metadata exploration.

  • โ€ข๐Ÿ”ฌ Built analytics experiences for Uniswap v4 hook ecosystems.
  • โ€ข๐Ÿ—‚๏ธ Implemented subgraph-backed filtering and on-chain metadata exploration flows.
  • โ€ขโšก Delivered responsive React/TypeScript data interfaces for protocol insights.
Unizen logo

Unizen

2024

Cross-chain DEX aggregator

Web3 Frontend Engineer

WalletsDEXReactTypeScript

๐ŸŒ‰ Built Cross-Chain Swap Interface

๐Ÿ”„ Implemented wallet connectivity and swap UX across chains for decentralized exchange workflows.

  • โ€ข๐Ÿ‘› Implemented multi-chain wallet connectivity and swap interfaces.
  • โ€ขโœจ Improved transaction UX for cross-chain asset exchange flows.
  • โ€ขโœ… Delivered production-grade experiences for decentralized trading surfaces.
CTRL (formerly XDEFI) logo

CTRL (formerly XDEFI)

2023 - 2024

Multichain wallet platform

Web3 Frontend Engineer

Browser ExtensionPolygonEthereumOptimismethers.jsweb3.jsNext.jsstyled-componentsReact

๐Ÿช™ Built Multichain Wallet + NFT Crafting

โ›“๏ธ Built extension and NFT product flows across EVM chains with reliable wallet interactions and minting UX.

  • โ€ข๐Ÿงฉ Built a multichain wallet browser extension for secure cross-chain asset management.
  • โ€ข๐ŸŽจ Built an NFT crafting platform on Polygon, Ethereum, and Optimism.
  • โ€ข๐Ÿ› ๏ธ Shipped production surfaces using ethers.js, web3.js, Next.js, styled-components, and React.
OneArt logo

OneArt

2023 - 2024

Multichain wallet extension

Full Stack Web3 Developer

Wallet ExtensionWeb3ReactTypeScript

๐Ÿง  Built Wallet Extension and Marketplace UX

๐Ÿ’ธ Built secure transaction flows and real-time balances for wallet and Web3 marketplace scenarios.

  • โ€ข๐Ÿ” Built wallet extension functionality with secure transaction handling.
  • โ€ข๐Ÿ“ก Implemented real-time balances and marketplace-oriented interaction flows.
  • โ€ข๐Ÿš€ Shipped product features across wallet and Web3 commerce use cases.
Vungle logo

Vungle

2020 - 2021

In-app ads platform

Software Engineer

Ad PlatformAnalyticsReactTypeScript

๐Ÿ“ฃ Built Scalable In-App Ad Tooling

๐Ÿ“ฑ Developed features and architecture for ad tooling integrated with analytics and ML-informed workflows.

  • โ€ข๐ŸŽฎ Built scalable ad creation tooling for mobile game teams.
  • โ€ข๐Ÿ“Š Shipped architecture improvements for analytics-aware campaign workflows.
  • โ€ข๐Ÿงฐ Improved reliability and maintainability across feature delivery paths.

๐Ÿ”Œ Plugins & Integrations Experience

๐Ÿง  Deep hands-on delivery across plugin ecosystems and cross-product integrations used by product, operations, and engineering teams.

8+ Plugin EcosystemsOAuth + WebhooksAPI Reliability Patterns
๐Ÿงฉ Plugin Development
๐Ÿš€ Built and shipped production plugins across multiple platforms.
LottieFiles PluginsFigmaAdobe After EffectsAdobe AnimateCanvaChatGPTWordPressVSCodeMicrosoft Add-insBrowser/Chrome Extensions

References: LottieFiles Plugins ยท Figma ยท Adobe After Effects ยท Adobe Animate ยท Canva ยท ChatGPT ยท WordPress ยท VSCode ยท Microsoft Add-ins ยท Browser/Chrome Extensions

[+]๐Ÿงญ Browser extensions, especially Chrome extensions for product workflows and enterprise users.

[+]๐ŸŽจ Figma plugins for design-to-product pipelines and creative tooling.

[+]๐Ÿงฑ Adobe plugins for panel workflows, asset automation, and creator productivity.

[+]๐Ÿข Microsoft ecosystem plugins and add-ins (Office/Teams-oriented workflows).

[+]๐ŸŒ Google ecosystem integrations and plugin-style tooling across product suites.

[+]โœจ And more.

๐Ÿ”— Service Integrations
โš™๏ธ Integration work between SaaS systems and internal product workflows.

Platforms

SlackJiraGitHubGitLabLinearMicrosoft productsZoom

References: Slack ยท Jira ยท GitHub ยท GitLab ยท Linear ยท Microsoft products ยท Zoom

[+]๐Ÿ” OAuth and auth flows with secure token handling and permission scopes.

[+]๐Ÿช Webhooks and event-driven sync between systems with idempotent processing.

[+]โฑ๏ธ API rate-limit handling, retry strategy, backoff, and resilient job execution.

[+]๐Ÿงญ Data mapping and conflict resolution across different schemas and sources of truth.

โš™๏ธ Performance / Refactoring / Optimization

๐Ÿ› ๏ธ Practical engineering approach for making products faster, easier to evolve, and more reliable in production.

ProfilingModular RefactoringObservability
๐Ÿ”ฌ Profiling & Performance Debugging

[+]Use React Profiler and browser Performance tools to isolate render bottlenecks and expensive update paths.

[+]Trace memory leaks with heap snapshots, detached DOM checks, and lifecycle cleanup validation.

๐Ÿงฉ Refactoring Strategy

[+]Modularize domain logic to reduce coupling and make high-change areas easier to ship safely.

[+]Reduce complexity with typed boundaries, clearer ownership, and incremental migration plans.

โšก Optimization Techniques

[+]Improve rendering with targeted memoization, lazy loading, and stable state boundaries.

[+]Reduce bundle/runtime cost with code splitting, caching strategy, request batching, and payload trimming.

๐Ÿ›ก๏ธ Reliability Improvements

[+]Strengthen error handling and fallback paths for partial failures in critical user flows.

[+]Add observability via structured logs, metrics, and actionable alerts tied to product outcomes.

๐Ÿš€ My Projects

๐Ÿงช Personal products I built to solve practical user problems.

Product ThinkingFast ExecutionUser Value Focus
JsonResu.me
๐Ÿ“„ Tool that helps users create an ideal resume in 3 clicks with fast, structured, and practical output.

Live: https://www.jsonresu.me/

[+]โšก Resume creation flow optimized for speed and clarity.

[+]๐ŸŽฏ Focused on practical output quality for real hiring use-cases.

๐Ÿค– AI Implementation Depth

๐ŸŒŸ Build AI features that actually ship in production, while keeping engineering quality, maintainability, and business outcomes in focus.

Agentic WorkflowsRAG + PromptingTypeScript + Python
๐Ÿง  AI Capabilities for Product Teams
๐Ÿค– Agentic systems, orchestration, retrieval, and product-focused AI integration.

[+]๐Ÿค– Design and ship agentic workflows for production tasks with orchestration, guardrails, and failure handling.

[+]๐Ÿง  Build prompt and RAG flows that stay grounded and useful in real product contexts.

[+]๐Ÿ› ๏ธ Implement AI features in TypeScript + Python services and integrate them into existing SaaS products.

[+]๐Ÿงฉ Use subagents, rules, hooks, and tool routing for maintainable multi-step automation.

[+]๐Ÿ“ˆ Apply AI to bots, chats, support workflows, and internal process automation with measurable outcomes.

๐Ÿ’ป Core Engineering Stack

TypeScriptReactJavaScriptHTMLCSSCI/CDDockerGitHub CLI

๐Ÿงฐ Applied AI stack when needed: prompt engineering, RAG, LangChain, agent orchestration, and Python services.

๐Ÿ“‰ Support workload reduction potential
20-45%

Assistant and RAG flows can deflect repetitive support and operations requests.

๐Ÿ”Ž Knowledge retrieval speed
Up to 70%

Contextual retrieval and synthesis reduce average time-to-answer for users and teams.

โš™๏ธ Process automation potential
30-60%

Agentic orchestration can automate triage, enrichment, and repeatable workflows.

๐Ÿš€ Feature delivery acceleration
25-40%

AI-assisted engineering and tooling can shorten implementation cycles.

๐Ÿ“Œ Outcome ranges are scenario-based and depend on baseline process, product maturity, and data quality.