AWS Certified Solutions Architect
Amazon Web Services · 2024
About
I'm a senior software engineer focused on building web platforms that are quick to use and calm to maintain. My work usually starts with the data model, moves through a well-typed API layer, and ends in an interface built on a strict design system.
I've worked on commerce, fintech and healthcare products — environments where reliability, accessibility and clean migrations matter more than novelty. I care about code review culture, measurable performance budgets and documentation that survives handover.
Outside delivery work I mentor engineers, lead architecture reviews and keep a habit of rewriting legacy jQuery screens into modern component libraries without breaking a single workflow.
One-page PDF · updated 2026
Process
Clients hire me because the path from idea to launch feels clear. Here is the four-phase process I follow on every engagement.
I start by understanding your users, constraints and success metrics. We map the problem before we touch any code.
With the goal clear, I design the data model, API contracts and technical approach that the build will follow.
Clean, reviewable increments with continuous testing. I keep communication tight and scope honest throughout.
Production deploy with monitoring in place, followed by stable support so the product keeps improving after launch.
Own architecture for two revenue-critical products; mentor four engineers and lead API and database design reviews.
Delivered Laravel and React platforms for fintech and healthcare clients, with a focus on performance and clean data models.
Built responsive marketing sites and dashboards using HTML, CSS, jQuery and Bootstrap for agency clients.
Amazon Web Services · 2024
Meta · 2023
Google Cloud · 2022
DevFest India · 2021
Engineering
The full stack isn't a side note — it is how I ship products end-to-end. I combine modern frontend, backend, and database work with AI-assisted tools to build faster and write cleaner code.
Accessible, fast interfaces with design-system discipline.
APIs and services built for scale, clarity and observability.
Modelling, indexing and query tuning for real workloads.
AI-assisted workflow for faster delivery and cleaner code.