Denis Proleev

Software Developer

3years in tech

2repositories checked by code analysis

MiddleFrontend Developer

3roles confirmed by code

Overview

A frontend app engineer (middle) who builds small-to-medium single-page applications with a focus on client-side audio tooling. The strongest proven skill is implementing a client-side audio pipeline that fetches TTS from third-party AI services, trims and concatenates audio, caches clips in IndexedDB, and encodes MP3s for download. There is limited evidence of component-based architecture, automated tests, advanced accessibility attributes, or explicit request cancellation and race-condition handling.

Phone

Timeline

Vyatka State University

Bachelor's Degree · Applied Mathematics and Computer Science

2012–2017 Kirov, Kirov Oblast

Technical skills

Languages

Lua

Databases

PostgreSQL

ElasticSearch

ClickHouse

Apache Kafka

CouchDB

DevOps

Rest API

GitHub

Git

Kibana

Other

Arbitrum

Ethereum

Gorilla

Prometheus

gRPC

CI/CD

Jaeger

Frontend

КриптоПро

Observability

TCP/IP

NFT

Clean Architecture

SOAP

Middle Frontend Developer Confidence: High App Engineer

UI Component Architecture

3/10

How interface parts are built

Single-file, well-structured DOM + imperative JS with clear UI sections but no component-based architecture or reusable component library; modest separation of concerns via functions.

Evidence

dqso/dqso.github.io/runvocab/index.html: functions openModal and closeModal manage modal UI state dqso/dqso.github.io/runvocab/index.html: saveSettings / restoreSettings handle persistent UI settings and voice selection

Responsive & Cross-browser

3/10

Works on all screens and browsers

Responsive CSS with media queries and fluid typography present, but no advanced cross-browser feature-detection, RTL/i18n layout rules, or progressive enhancement beyond basic breakpoints.

Evidence

dqso/dqso.github.io/runvocab/index.html: @media (min-width: 480px) rules for modal and layout dqso/dqso.github.io/runvocab/index.html: responsive typography using clamp and viewport-relative sizing

Performance Optimization

5/10

Speed of the interface

Deliberate client-side performance work: in-memory and IndexedDB caching, request deduplication, and limited concurrent worker pool for network-bound TTS calls; lacks bundle/build analysis and broader instrumentation.

Evidence

dqso/dqso.github.io/runvocab/index.html: audioCache Map + idbGet/idbPut for IndexedDB-backed caching dqso/dqso.github.io/runvocab/index.html: runPool worker pool and uniqueTasks deduplication in generate

Accessibility & Semantics

3/10

Usable for everyone

Some accessibility-minded behaviors (Escape closes modals, click-outside handling), but no ARIA on custom widgets, no explicit focus management or accessibility attributes on interactive controls.

Evidence

dqso/dqso.github.io/runvocab/index.html: document.addEventListener('keydown', ...) to close modals on Escape dqso/dqso.github.io/runvocab/index.html: modal overlay click handler to close when clicking outside the modal

State Management & Data Flow

5/10

Managing data in the app

Clear client-side state discipline for settings and API credentials (cookie persistence), concrete server-state handling (quota parsing, error handling), and deduping + caching of TTS requests; missing advanced cancellation/race-safety patterns and no tests.

Evidence

dqso/dqso.github.io/runvocab/index.html: saveSettings / restoreSettings use cookies for persisted UI/server config dqso/dqso.github.io/runvocab/index.html: captureGroqLimits parses rate-limit headers and checkQuota fetches subscription data

UX & Visual Polish

5/10

Look and feel quality

Thoughtful UX touches: progress UI with per-track progress, spinner/disabled states, cache-hit messaging and downloadable MP3 previews; however no offline-first fallbacks or undo patterns.

Evidence

dqso/dqso.github.io/runvocab/index.html: prog-card/prog-bar updates and spinner state while generating dqso/dqso.github.io/runvocab/index.html: cacheInfo messaging and dl-card with audio controls and download links

Expertise

Frontend AI Integration· Middle

PWA & Web APIs· Middle

Industries

Education· Middle

Technologies

Frontend

Recommendations

Implement this developer on projects that need client-side TTS/Audio tooling and integrations with third-party AI APIs, including caching and offline playback.
Use them to prototype language learning or audio content generation features where quick iteration and direct Web Audio API work are required.
Assign them to build small-to-medium PWA enhancements that use IndexedDB, offline caching, and background sync for media assets.
Pair them with a senior frontend engineer to extract UI into reusable components and add automated tests and comprehensive a11y improvements.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

dqso.github.io

Junior Backend Developer Confidence: Medium Distributed Systems

A Middle-level Go backend engineer focused on real-time multiplayer game server and client logic with a strong practical grasp of concurrency and spatial partitioning. The strongest proven skill is designing concurrency-aware game domain code, specifically the region partitioning and search logic in server/internal/entity/world.go and fine-grained locking in server/internal/entity/player.go. Not evidenced in public code are robust database schema evolution, production-grade observability (structured metrics/logs), and authentication/token management.

API Design

3/10

How well APIs are designed

Custom protobuf/binary message protocol with client-side dispatch and batching; lacks explicit versioning, idempotency keys or documented error contract.

Evidence

dqso/mincer/client/internal/network/messages.go: decodeMessageWithCode switch handling and batch unpacking

Data Layer & Database

Working with databases

Not evidenced in public code

Scalability & Performance

4/10

Handling load and speed

Spatial partitioning (region grid) and BFS-based nearby search show deliberate performance design for real-time scale; concurrency-safe players/projectile lists reduce contention.

Evidence

dqso/mincer/server/internal/entity/world.go: supportRegions region recompute and calculateRegion dqso/mincer/server/internal/entity/world.go: SearchNearby BFS across regions dqso/mincer/server/internal/entity/player.go: fine-grained RWMutex use in player state (hp, position, weapon, attack)

System Architecture

4/10

Overall system structure

Clear separation of domain interfaces (Player, World, Horn) and a background goroutine for region maintenance indicate purposeful module boundaries and lifecycle handling.

Evidence

dqso/mincer/server/internal/entity/world.go: NewWorld starts supportRegions goroutine and exposes World interface dqso/mincer/server/internal/entity/player.go: Player interface and horn-based event decoupling

Security & Auth

Protecting data and access

Not evidenced in public code

Reliability & Observability

3/10

Stability and monitoring

Basic reliability patterns are present such as context cancellation for background goroutines and some error logging; full observability (structured logs/metrics, retries with backoff, correlation ids) is not evidenced.

Evidence

dqso/mincer/server/internal/entity/world.go: supportRegions checks ctx.Done() to stop the background goroutine dqso/mincer/client/internal/network/messages.go: proto.Unmarshal error logging and guard returns

Verified artifacts

connerohnesorge/groq-go· ★ 25

Expertise

Go Development· Junior

Messaging & Real-time· Junior

Industries

Gaming· Junior

Technologies

Rest API

gRPC

Gorilla

Apache Kafka

Recommendations

Develop real-time multiplayer server subsystems such as spatial partitioning, matchmaking, and authoritative state synchronization.
Implement concurrency-heavy services where goroutine lifecycle and fine-grained locking are crucial, for example projectile/physics processing or AI bot managers.
Extend the codebase with production concerns: structured logging, metrics, graceful shutdown across components, and documented health/ readiness checks.
Add integration tests and benchmarking around the region search and player update hot paths to validate and guide optimizations.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

mincer

Junior DevOps Engineer Confidence: High Generalist

A Middle-level Go engineer specializing in concurrent real-time multiplayer server and client code with a focus on correct shared-state handling. The strongest proven skill is concurrent systems design and event propagation shown by the thread-safe Player implementation (server/internal/entity/player.go) and the region-partitioned World with a background region updater (server/internal/entity/world.go). The codebase contains minimal operational tooling, with almost no CI/CD, infrastructure-as-code, deployment manifests or production observability and alerting documentation evidenced in public files.

CI/CD Pipelines

Automated build and deploy

Not evidenced in public code

Infrastructure as Code

Managing servers with code

Not evidenced in public code

Containerization & Orchestration

Working with containers

Not evidenced in public code

Observability & Monitoring

1/10

Watching system health

Only minimal logging calls are present; no structured tracing, dashboards-as-code, SLOs or alerting rules were found in the human-authored files.

Evidence

dqso/mincer/client/internal/network/messages.go: uses log.Print and log.Printf for runtime events and errors

Reliability & Incident Response

2/10

Keeping systems up

Some operational and reliability practices are implemented in application code (context cancellation, background goroutine, mutexes), but there are no runbooks, deploy gates or incident postmortems.

Evidence

dqso/mincer/server/internal/entity/world.go: NewWorld launches supportRegions(ctx) and honors ctx.Done() to stop the background goroutine dqso/mincer/server/internal/entity/player.go: thread-safe Player implementation using sync.RWMutex and careful state updates

Cloud & Cost Optimization

Smart use of the cloud

Not evidenced in public code

Expertise

Observability & Monitoring· Junior

Technologies

Observability

Go· since 2023 · Junior

TCP/IP

Recommendations

Develop real-time multiplayer game server components and client networking code in Go, especially projects needing careful concurrency control and spatial partitioning.
Implement low-latency networking protocols and protobuf-based client-server message handling, extending existing Manager decode/send patterns into robust, tested transports.
Harden observability and production readiness by adding structured logging, traces, SLOs/alerts, and a simple CI/CD pipeline with deploy gates and rollback steps.
Add deployment/infrastructure recipes (Dockerfile, Kubernetes manifests or CI reusable workflows) and automated infra tests to bridge code to production reliably.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

mincer

Job preferences

Work permits: Russia

Open to AI agents: they read this profile and start a dialog through Alionalion.io/@denis-proleev/mcp