Software Engineering Manager | Full-Stack + Cloud (AWS/Kubernetes/Terraform) | GenAI/Agentic Systems (RAG, vector search) | Python + Java + Go

I build scalable platforms, developer tooling, and GenAI workflows end-to-end—from architecture to production-grade execution.
I’ve spent years delivering enterprise systems in high-stakes domains (fintech/enterprise platforms) and I also ship open-source tools that make developers’ lives easier.

• LinkedIn: https://www.linkedin.com/in/connectwithutkarshsingh/
• Medium: https://medium.com/@connectwithutkarshsingh

• Platform + Cloud Engineering: event-driven architectures, reliability, observability, secure delivery
• GenAI / Agentic Systems: RAG, embeddings, retrieval quality, multi-step automation workflows
• Developer Tooling: CLI tools, VS Code/Cursor extensions, distribution + release automation (Homebrew, GoReleaser)

I’ve been making my tools easy to install and upgrade via Homebrew.

brew tap vib795/tap
brew install vib795/tap/pull-vids
brew install vib795/tap/convert-vid
brew install vib795/tap/epub2pdf

• Flaunt GitHub — VS Code/Cursor extension that logs coding activity and turns it into a rolling progress story Repo: https://github.com/vib795/flaunt-github

• everyday-developer-tools — web toolbox for common dev utilities (JSON, regex, diff/text helpers, etc.) Repo: https://github.com/vib795/everyday-developer-tools

• pull-vids — universal downloader CLI (built for speed + reliability) Repo: https://github.com/vib795/pull-vids

• convert-vid — video format conversion CLI with concurrency + presets (FFmpeg-based) Repo: https://github.com/vib795/convert-video-formats

• epub2pdf — EPUB → PDF converter CLI in Go (rendering-focused) Repo: https://github.com/vib795/epub2pdf

• always-decimal — safe conversion helpers for Decimal to avoid precision surprises Repo: https://github.com/vib795/always-decimal

• Meeting AI (Transcription + RAG) — transcript → vector search → Q&A / summaries Repo: https://github.com/vib795/meeting-ai

• Resume Screener — semantic similarity / plagiarism-style detection using embeddings + retrieval Repo: https://github.com/vib795/resume-screener

I write about practical engineering, cloud, and Python/Go depth.

• Medium: https://medium.com/@connectwithutkarshsingh

  • Advanced Guide to Asyncio, Threading, and Multiprocessing in Python
  • Understanding and Setting Up Cron Jobs in AWS for Batch Job Automation
  • How to Turn Your Raspberry Pi into a Secure Travel Router

• Languages: Python, Java, Go, TypeScript
• Backend: FastAPI, Flask, Spring, Fiber, REST, Microservices
• Cloud/Infra: AWS, Kubernetes, Terraform, Docker
• Data: PostgreSQL (incl. vector search / pgvector), SQL, data modeling
• CI/CD & Quality: GitHub Actions/Jenkins, automated scans, observability-first delivery
• GenAI: RAG pipelines, embeddings, retrieval evaluation, multi-LLM integrations

If you’re building platforms, developer tooling, or GenAI products that need to scale responsibly, feel free to reach out:

• LinkedIn: https://www.linkedin.com/in/connectwithutkarshsingh/