Vaishnav Ghenge

Software Engineer · Backend & Distributed Systems

3 years building production systems at Noovosoft Technologies — billing engines, real-time data pipelines, WebRTC video infrastructure. I care about correctness, reliability, and code that doesn't need explaining.

Open to work

About

Started in 2018 with a Diploma in Computer Engineering — when curiosity felt sufficient and a full degree felt optional. Got the B.E. anyway in 2024 (CGPA 8.88), but the real education happened between commits.

Since 2023 I've been building at Noovosoft Technologies — first as an intern, now full-time. I shipped a recurring billing engine that cut revenue failures by 30%, migrated a weather data provider improving accuracy by 25%, and slashed CI/CD build times by 45% by adopting uv across our Python pipelines.

Outside work I built Vartalaap (a P2P video call app with HD video, background blur, and noise cancellation), Servio (a Go-based Linux service manager), and django-silky — a production-quality fork of django-silk with dark mode, D3 analytics dashboards, and N+1 query detection.

I care about distributed systems that hold up under pressure, open source tools developers actually reach for, and code that doesn't need a 40-minute explanation. When I'm not shipping, I'm playing cricket or reading about something I probably can't use at work yet.

Experience

  1. Noovosoft Technologies LLP

    Software DeveloperSep 2024 — Present
    Software Developer InternAug 2023 — Sep 2024

    Architected the recurring billing engine for Farmdesk SaaS, boosting revenue reliability by ~30% via robust retry logic and Mollie integration. Led the migration from DTN to OpenMeteo, improving data accuracy by 25%. Optimized CI/CD pipelines with `uv` to cut build times by 45% and resolved critical race conditions in government animal database integrations.

    PythonDjangoAngularTypeScriptCeleryRedisPostgreSQLDockerWebRTC

Featured Projects

  1. YouHD · 1080pThemHD · 1080pNoise CancelEcho CancelBG Blurscreen share

    Technical Highlight

    Vartalaap ↗

    HD Video Calling with Real-Time Media Processing

    Built a high-quality P2P video call app focused on call reliability and media fidelity. Features HD 1080p video, background blur and virtual backgrounds via MediaPipe, screen sharing, acoustic echo cancellation, and background noise suppression — tackling the exact frustrations people have with mainstream video apps. Signaling handled by a lightweight Go WebSocket server with zero dependencies.

    Engineering Decision

    Why Go for signaling? Needed a single self-contained binary that handles concurrent WebSocket connections without a runtime or framework. Go's stdlib covers it entirely — no Node, no Python, no external dependencies on the critical signaling path.

    Next.jsGoWebRTCMediaPipesimple-peerWebSocketsZustand
  2. servio — journald
    [●] api-gateway.service
    Active: active (running)
    D-Bus: connected to systemd
    Logs: streaming via journald
    ▋
    CPU
    MEM

    Technical Highlight

    Servio ↗

    GUI-Based Systemd Service Manager

    Built a visually rich Web GUI for orchestrating Linux servers, replacing command-line fatigue with a modern dashboard. Directly interfaces with Systemd via D-Bus to start/stop services, view real-time journald logs, and manage environment variables. Includes a Git-integrated deployment pipeline that automatically builds and reloads services on push.

    Engineering Decision

    Why Go over Node.js or Python? Needed a single self-contained binary with no runtime dependencies, direct D-Bus bindings for Systemd, and native goroutines for concurrent log streaming across multiple services. Go's stdlib handles all of this without a single external dependency.

    Go (Golang)Linux SystemdWebSocketsReact UISQLiteD-Bus
  3. django-silky
    dark
    /api/users/
    240ms
    /api/posts/
    38ms
    /api/tags/
    12ms
    flame · /api/users/
    ORM
    N+1
    Ser
    Net
    ⚠ N+1 detected · /api/users/

    Technical Highlight

    django-silky ↗

    Production-Quality Fork of django-silk

    Forked the popular django-silk profiling library and shipped a fully modernized version: persistent dark/light theming, inline collapsible filter bar, D3.js analytics dashboards, N+1 query detection with endpoint attribution, and self-hosted icons (zero CDN dependencies). Drop-in replacement — no new migrations required.

    Engineering Decision

    Why fork instead of contributing upstream? The changes required architectural rewrites — CSS variables for theming, D3 for analytics, self-hosted assets. Getting that through upstream review would take weeks. Forking let me ship in one day and write about it.

    PythonDjangoD3.jsCSS Custom PropertiesPostgreSQL

Technical Skills

●●● expert · ●● proficient · ● familiar

Backend
Frontend
Infrastructure
Systems
Language

Recent Writing

  1. django-silky: A Modern Fork of django-silk with Dark Mode, D3 Charts, and N+1 Detection

    django-silky: A Modern Fork of django-silk with Dark Mode, D3 Charts, and N+1 Detection

    Feb 18, 2026·4 min read

    If you've ever profiled a Django app, you've probably used django-silk. It's invaluable — every HTTP...

    #django#python#webdev#opensource
  2. Modern Django & Django REST Framework Complete Roadmap

    Modern Django & Django REST Framework Complete Roadmap

    Aug 12, 2025·14 min read

    Getting Started Installation & Setup Setup Django with Docker...

    #django#drf#djangorestframework#webdev
View all articles →

- Editorial -

Consequences Engineer

Editorial cartoon: an AI coding agent says it passed imaginary tests while a developer inherits review, CI failures, security warnings, and product pressure.ai-agent runagent: feature completediff: +4,812 -18tests: passed locallytodo: define locallyDONE!I passed the testsI imagined.CI1 flaky testSECnew CVEPMship today?PR #841auth refactorPR #842fix authPR #843fix fixREVIEWGreat. I will runthe real ones.MODERN DEVELOPMENT, 2026

"The AI wrote the code. I got promoted to consequences engineer."