Are you looking for a seasoned Full Stack Developer to bring your ideas to life? With over a decade of professional experience in TypeScript/JavaScript web development, I specialize in crafting fast, functional, and scalable web applications that don’t just look good—they deliver exceptional performance.
Let’s collaborate to bring your vision to life! Whether it’s a custom web app, a scalable SaaS platform, or a cutting-edge mobile app, I’m here to help.
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- Built a SaaS template and applied it to learning/online test taking app and llm based 3d modelling app
- Buil...
- Built a SaaS template and applied it to learning/online test taking app and llm based 3d modelling app
- Built a teamviewer like desktop share app with a min 15 fps low latency benchmark
- Built a low-code app builder
- Built a gmail / outlook email add-on that helps you calculate your margin from transport bid emails
Stack: Typescript (React, Next, Node), Rust (Axum, Dioxus, Tauri), DB (Supabase, PostgreSQL, MongoDB), cloud
Built apps that aggregated data from multiple source and shared it in stakeholder’s preferred format or process
- HR Das...
Built apps that aggregated data from multiple source and shared it in stakeholder’s preferred format or process
- HR Dashboard: HR can track various insurance policies and claims of their company’s employees
- Company Dashboard: Companies can purchase customised policies from an aggregated list of insurers; They can maintain a running balance to cover the changes in their no of employee at the policies; Compare and receive bids for their customised policies across the aggregated list of insurers
- Employee Dashboard: Employee can purchase customised policies; add/remove dependants and track their claims
- Standardised development stack to use Firebase functions and Next; with logging-monitoring-tracing and testing
Stack: Next, React, Styled Components, Tailwind CSS, GraphQL, NodeJs, Cypress, Github CI/CD
As a part of engineering effort at nfer Clinical nSights, i worked on apps like:
- AI Studio: Users can upload ...
As a part of engineering effort at nfer Clinical nSights, i worked on apps like:
- AI Studio: Users can upload and tag dataset. Users run models against these datasets. Users can review the model's prediction and feed this back to the model. workspaces: Svelte UI to track uptime and cost of GCE instances that run models in AI studio; CRUD
- Triangulation: also known as drug lifecycle management, rate targets after correlation between triangulation of literature, molecular and real world evidence.
- Real-World Evidence: Automated real-time synthesis of key opinion and clinical activity of biomedical concepts
Develop and maintain libs that work across nference's suite of apps like:
- core-ui: UI component library with storybook and nference's design language
- annotator: user-generated spatial annotations over non-text data like pathology images, ECG waveforms and maps
- Notification service: middleware to execute Async jobs and caches results for rate limiting requests, book-keeping, notification in the backend and a collection of web socket based subscription hooks to consume real time data
Stack: React, Tailwind CSS, GraphQL, Golang, NodeJs