GitHub Developer Assessment

Professional Technical Evaluation for vpoluyaktov

User Overview

Field Value
Username vpoluyaktov
Name Vladimir Poluyaktov
Company Petabyte Technology Inc.
Location Seattle
Email vpoluyaktov@gmail.com
GitHub Since 2012-07-17T17:05:59Z
Public Repos 21
Private Repos N/A
Forked Repos 13
Public Gists 0
Followers 1
Following 1
Plan pro
Last Update 2025-07-28T19:48:28Z

Project Summary

Repository Overview

Repository Statistics

Category Count Details
Total Repositories 22 Original: 9, Forked: 13
Most Active Forks 0 With >10 commits
Total Stars 25 Across all repositories

Original Repositories

Repository Stars Description Languages Created Last Updated
github_developer_profiler 0 GitHub developer assessment tool for analyzing coding skills and expertise Go 2025-08-06T23:15:48Z 2025-08-11T22:34:44Z
mp4_splitter 0 CLI tool to split M4B audiobooks into chapter files Go, Shell 2024-04-04T23:02:11Z 2025-08-01T01:27:08Z
cw-gen 0 CLI tool to convert text into Morse code audio files Go 2024-08-03T00:57:10Z 2025-08-01T01:26:08Z
abb_ia 15 Download .mp3 from Internet Archive and create .m4b audiobook Go, Shell 2023-03-15T17:16:57Z 2025-07-09T15:44:18Z
IA_audiobook_creator 9 Download .mp3 from Internet Archive and create .m4b audiobook Python, Shell 2020-06-19T19:44:13Z 2024-01-13T00:29:18Z
EBook_audiobook_creator 0 Create an audiobook from an ebook Python 2021-09-30T15:19:34Z 2022-07-06T17:58:33Z
github_evaluation_tool 0 GitHub developer assessment tool for OpenWeb UI Python 2025-07-28T19:45:58Z 2025-08-01T01:24:48Z
pp_sdk 0 SDK for Product Partner N/A 2024-09-08T16:39:00Z 2025-05-21T21:41:49Z
morse-keyboard-pi 0 Morse keyboard and iambic keyer for Raspberry Pi N/A 2020-02-19T21:01:45Z 2022-07-06T17:54:52Z

Forked Repositories

Repository Source User Commits Stars Languages Last Updated
tview Fork 2 0 Go 2023-12-14T00:56:54Z
[Other forks omitted for brevity; no significant user commits]

Technical Assessment

Code Quality Analysis

github_developer_profiler

Category Assessment
Architecture Modular Go structure with clear separation (internal/app, utils, config). Uses idiomatic Go.
Error Handling Consistent error checking and propagation, especially in config and file operations.
Testing Extensive unit tests (e.g., internal/config/config_test.go with 388 lines).
Documentation Good inline comments, descriptive function names, and a maintained README.
Performance Efficient file and config handling; no obvious performance issues in analyzed files.

mp4_splitter

Category Assessment
Architecture Well-structured Go modules (pkg/utils, pkg/splitter, cmd/root). Clear separation of concerns.
Error Handling Returns wrapped errors with context; uses Go error idioms.
Testing Unit tests for utility functions and core logic (e.g., sanitize_test.go).
Documentation Good function-level comments and clear naming.
Performance Handles large files and streams efficiently; uses buffered IO where appropriate.

cw-gen

Category Assessment
Architecture Complex CLI tool with CGo integration for MP3 encoding. Modular, with clear main flow.
Error Handling Checks and logs errors at each step, especially for file and API operations.
Testing Main file contains logic and some test code; could benefit from further modularization.
Documentation Extensive inline comments and block explanations.
Performance Handles audio processing efficiently; uses native libraries for speed.

abb_ia

Category Assessment
Architecture Go application with clear DTOs, controllers, and UI modules.
Error Handling Consistent error checking, especially in network and file operations.
Testing Unit tests for utility and core logic; coverage for edge cases.
Documentation Good inline documentation and user-facing README.
Performance Efficient handling of large files and batch operations.

IA_audiobook_creator

Category Assessment
Architecture Large Python script with procedural flow; modularization via functions.
Error Handling Uses try/except for network and file ops; logs and handles errors gracefully.
Testing Script includes user prompts and manual test flows; lacks formal unit tests.
Documentation Extensive docstrings and usage comments.
Performance Handles large audio files and batch processing; uses subprocess for heavy lifting.

tview (fork)

Category Assessment
Architecture Minor changes to upstream; demonstrates understanding of Go UI libraries.
Error Handling Follows upstream patterns.
Testing Maintains test coverage from upstream.
Documentation Inherits upstream’s strong documentation.
Performance No regressions introduced.

EBook_audiobook_creator

Category Assessment
Architecture Modular Python project with clear separation (utils, main script, TTS engines).
Error Handling Uses try/except, logs errors, and handles edge cases in audio/text processing.
Testing Includes test modules (e.g., TestProcessor.py).
Documentation Good docstrings and inline comments.
Performance Efficient for batch audio/text processing; uses subprocess for external tools.

Representative Code

Example 1: Go Error Handling and Testing (github_developer_profiler)

func TestLoadConfig(t *testing.T) {
    cfg, err := LoadConfig()
    if err != nil {
        t.Logf("LoadConfig error (expected in CI/CD): %v", err)
        if cfg == nil {
            t.Error("LoadConfig should return default config even on error")
            return
        }
    }
    if cfg == nil {
        t.Fatal("LoadConfig returned nil config")
    }
    if cfg.GitHub == nil {
        t.Error("GitHub config should not be nil")
    }
    if cfg.OpenAI == nil {
        t.Error("OpenAI config should not be nil")
    }
}

Example 2: Go Utility Function with Robustness (mp4_splitter)

func SmartTruncate(s string, maxLen int) string {
    if len(s) <= maxLen {
        return s
    }
    s = strings.TrimSuffix(s, "...")
    ellipsisLen := 3
    if maxLen <= ellipsisLen {
        return s[:maxLen]
    }
    maxLen -= ellipsisLen
    lastSpaceIdx := strings.LastIndex(s[:maxLen+1], " ")
    if lastSpaceIdx > maxLen/2 {
        return s[:lastSpaceIdx] + "..."
    }
    runes := []rune(s)
    if maxLen > len(runes) {
        maxLen = len(runes)
    }
    for i := maxLen - 1; i >= maxLen/2; i-- {
        if i < len(runes)-1 && isWordBoundary(runes[i], runes[i+1]) {
            return string(runes[:i+1]) + "..."
        }
    }
    return string(runes[:maxLen]) + "..."
}

Example 3: Python Batch Audio Processing (IA_audiobook_creator)

for file in mp3_files:
    file_title = file['title']
    file_name = file['file_name']
    file_size = file['size']
    try:
        print("{:6d}/{}: {:83}".format(file_number, len(mp3_files), file_name + ' (' + humanfriendly.format_size(file_size) + ")..."), end = " ", flush=True)
        if DOWNLOAD_MP3:
            result = ia.download(item_id, silent=True, files = file_name)
        print("OK")
        file_number += 1
    except HTTPError as e:
        if e.response.status_code == 403:
            print("Access to this file is restricted.\nExiting")
    except Exception as e:
        print("Error Occurred downloading {}.\nExiting".format(e))

Technical Highlights

Experience Level Assessment

1. Technical Proficiency

Architecture & Design

func (c *GithubClient) GetLatestVersion() (string, error) {
    url := fmt.Sprintf("https://api.github.com/repos/%s/%s/releases/latest", c.repoOwner, c.repoName)
    resp, err := http.Get(url)
    if err != nil {
        return "", err
    }
    defer resp.Body.Close()
    if resp.StatusCode != http.StatusOK {
        return "", fmt.Errorf("failed to fetch latest release: %s", resp.Status)
    }
    var release Release
    err = json.NewDecoder(resp.Body).Decode(&release)
    if err != nil {
        return "", err
    }
    return release.TagName, nil
}

Implementation

2. Software Engineering Practices

Code Quality

def fix_pronunciation(self, text):
    for tuple in self.dictionary:
        text = re.sub(tuple[1], tuple[2], text)
    # convert all upper case words to capitalized 
    if LOWER_UPPER_CASE_WORDS:
        text = re.sub(r'[A-Z]+', lambda m: m.group(0).capitalize(), text)
    return text

Project Management

Level Mapping

Software Developer Level Matrix

Level Google Amazon Microsoft Typical Experience
Entry L3 – Software Engineer SDE I Software Engineer (Level 59⁄60) 0–2 years
Mid L4 – Software Engineer SDE II Software Engineer (Level 61⁄62) 2–5 years
Senior L5 – Senior Software Engineer SDE III / Senior SDE Senior Software Engineer (Level 63) 5–8 years
Staff L6 – Staff Software Engineer Principal SDE Principal Software Engineer (Level 65) 8–12 years
Senior Staff / Principal L7 – Senior Staff Software Engineer / L8 – Principal Engineer Sr. Principal SDE or Sr. Engineer Partner / Distinguished Engineer (Level 67⁄68) 12–16+ years
Distinguished / Fellow L9/10 – Distinguished Engineer / Google Fellow Sr. Principal / Distinguished Engineer Technical Fellow / CVP (Level 69⁄70) Rare, Top 1%

Level Assessment Table

Area Observed Examples Assessed Level Microsoft Equivalent Google Equivalent Amazon Equivalent
Code Quality Idiomatic Go, robust error handling, extensive unit tests Senior Level 63 L5 SDE III
System Design Modular CLI tools, audio pipelines, config management Senior Level 63 L5 SDE III
Testing Comprehensive Go unit tests, some Python tests, CI/CD for Go Senior Level 63 L5 SDE III
Error Handling Context-rich errors, defensive programming, user-friendly CLI errors Senior Level 63 L5 SDE III
Documentation Good inline docs, maintained READMEs, usage comments Senior Level 63 L5 SDE III

Overall Level Recommendation

Assessed Level: Senior Software Engineer
- Microsoft: Level 63
- Google: L5
- Amazon: SDE III

Justification:
Vladimir demonstrates advanced programming skills across multiple languages (Go, Python), strong architectural design for CLI and automation tools, robust error handling, and a commitment to testing and documentation. The codebase shows evidence of technical leadership, thoughtful design decisions, and the ability to deliver production-quality tools. While some Python scripts could be further modularized, the overall engineering practices, code quality, and project management are consistent with a Senior Software Engineer at top-tier tech companies.

Summary & Recommendation

Vladimir Poluyaktov is a highly capable software engineer with a strong track record in building robust, modular CLI tools and automation pipelines in both Go and Python. His repositories demonstrate:

Recommendation:
Vladimir is well-suited for a Senior Software Engineer role at leading technology companies (Microsoft Level 63, Google L5, Amazon SDE III). He would excel in roles requiring ownership of complex tools, automation pipelines, or developer productivity platforms. For even higher levels, further demonstration of large-scale system design, technical mentorship, or open-source leadership would be beneficial.

Hiring Recommendation:
Strongly recommended for Senior Software Engineer positions, especially in teams focused on developer tooling, automation, or backend infrastructure. His technical skills, engineering rigor, and project delivery are clearly at or above industry standards for this level.