I am Abhijeet Ranjan, a full-stack engineer who builds developer-focused software across AI workflows, infrastructure, real-time media, and security. I enjoy taking technically demanding ideas and turning them into products that are clear, dependable, and practical to use.
My work ranges from local-first desktop systems and searchable AI memory to deployment analysis and networking labs. Across those projects, I care about the same fundamentals: thoughtful interfaces, predictable APIs, readable automation, sensible data models, and documentation that helps another engineer move quickly.
I prefer building complete systems over isolated demos: software with a useful workflow, understandable tradeoffs, and enough engineering depth to remain valuable after the first run.
Four projects that represent the systems, product, and infrastructure work I enjoy most.
01 / REAL-TIME MEDIA / LOCAL-FIRST
Local-first phone-to-Windows webcam bridge. LensBridge pairs through a QR code, streams a phone camera over WebRTC, previews it in a Tauri desktop application, and publishes frames as a Windows DirectShow camera.
Stack: Tauri v2, React 19, Rust local services, WebRTC, LAN streaming, Windows DirectShow
02 / AI MEMORY / DEVELOPER CONTEXT
Reusable memory for developer workflows. CTX turns chats, GitHub context, notes, and project decisions into searchable local-first capsules that can be carried across tools and sessions.
Stack: Next.js, SQLite, Prisma, MCP
03 / DEVOPS INTELLIGENCE / ANALYSIS
DevOps analysis in engineer-readable language. DeploySense scans Dockerfiles, Kubernetes manifests, CI/CD workflows, Compose files, and deployment logs, then explains risk and remediation clearly.
Stack: TypeScript, Docker, Kubernetes, GitHub Actions
04 / NETWORK SECURITY / PRIVACY LAB
Hands-on virtual privacy router lab. GhostGate explores NAT forwarding, DNS logging, firewall rules, Tor routing, and WireGuard through a real Ubuntu VM network setup.
Stack: Linux, Bash, Tor, WireGuard
Open to collaboration: local-first software, AI developer tools, CI/CD analysis, virtual devices, automation systems, and security or networking projects.
Languages
C, C++, Java, Rust, JavaScript, TypeScript, Python, Bash, SQL, YAML
Web and product interfaces
React, Next.js, Tauri v2, Vite, Tailwind CSS, Three.js, GSAP, Framer Motion, HTML5, CSS3
Backend, data, and APIs
Node.js, Express, Flask, REST APIs, WebRTC, WebSockets, Prisma, SQLite, PostgreSQL, MySQL, MongoDB, Firebase
Infrastructure, security, and networking
Docker, Docker Compose, Kubernetes, GitHub Actions, Nginx, CI/CD, Vercel, Netlify, Linux CLI, WireGuard, Windows DirectShow, Tor, Wireshark, Nmap
Core concepts
Operating Systems, OOP, DBMS, Computer Networks, Distributed Systems, Monorepos, API Design, MCP
Engineering range. Full-stack products, AI-native workflows, DevOps automation, GitHub tooling, real-time media bridges, and networking or security labs.
Build style. Product-minded interfaces backed by clear APIs, practical data models, useful automation, and readable documentation.
Public work. Open Source Contributor with GSSoC 2026 and 18+ Google Cloud Skill Badges across Generative AI, Cloud Run, Compute, Networking, Spanner, APIs, and Automation.
Direction. Developer tools that combine local-first media, AI memory, deployment intelligence, security experimentation, and polished product experiences.
Contribution totals appear on the rolling-year map below; the streak card is reserved for streak history.


