I build software with an unreasonable interest in the details — the kerning, the frame timing, the way a window remembers where you left it. Full-stack web by profession, small desktop tools by habit.
I'm Harshavardhan, a software engineer who believes most software is too big. The work I'm proudest of is the kind nobody notices: interfaces that stay out of the way, pages that open fast, motion that earns its frame rate — and not a frame more.
Professionally I build web applications end to end — Laravel and PHP at the core, careful frontend engineering out front, and a habit of leaving every codebase tidier than I found it. Off hours I keep a small shelf of tools I built for myself, because the best way to stay sharp is to ship things you'd actually use.
The short version. The long one fits on a page too — ask for the résumé.
Analysed and resolved issues across production systems. Built responsive pages for every kind of device, managed data updates with queues, and integrated new features into existing platforms.
Building and maintaining web applications across the full stack. Improving code efficiency by finding bottlenecks, trimming memory usage, and speeding up existing systems.
Tools chosen the same way the software is built — few, and sharp.
Fast pages, honest forms, the occasional planet.
Windows software that behaves like it was born there.
The last 10% that takes 90% of the time.
A live storefront, a Windows utility, and the GitHub shelf. Berr is the flagship.
Fig. 01 — seven projects, three orbits. The pin is home.
Storefront for luxury home décor and artisanal personal care.
Live · berr.inKeeps your PC awake while downloads run.
Shipped · v2.2.0Full-stack billing with client management, itemised invoices, and payment tracking.
GitHubHR portal for employee records, departments, attendance, and payroll workflows.
GitHubReferral tracking with rewards and campaign analytics on a PHP backend.
GitHubFeed it a folder of images, get a PowerPoint back — one slide per image, zero clicking.
GitHubRegression model that forecasts a used car's optimal resale price from real-world data.
GitHubThe inbox is open — for questions, feedback, or a spirited argument about letter-spacing.