SAIKIRAN KALLURI

Product work and UI bug fixesimprovement

Started in the existing Aude product — a Next.js frontend with a Node and Express backend using Redis — exploring the codebase and fixing bugs across it, mostly on the UI. This first month built up the familiarity with the product's data flows that the diagnostics work later depended on.

Technologies: Next.js · React · Node.js · Express · Redis

Internal diagnostics dashboardfeature

After the first month I was given the chance to design and build an internal diagnostics application, which I built as a Next.js monolith. It talks directly to the database, checks whether the main app is generating correct data for every client, and shows the state of all of them in one dashboard. The interface is built for the engineers who debug it: what is not working is visible at a glance, an investigation can be deep-linked and shared as a URL, and a user's-eye view shows the UI as the user sees it next to the API response behind it.

Project: Aude Diagnostics – Internal Data-Integrity Dashboard

Technologies: Next.js · React

Deployment behind the existing single sign-oninfrastructure

Containerised the diagnostics app with Docker and deployed it on AWS, serving it from the same origin as the main application so it reuses the existing single sign-on instead of introducing a second authentication system. Access is further restricted to authorized members of the engineering team.

Project: Aude Diagnostics – Internal Data-Integrity Dashboard

Technologies: Docker · AWS · Next.js

Skeleton loading statesimprovement

Took part in UX improvement discussions and proposed skeleton loading for the app, which had no loading view. The proposal was approved, I implemented it, and it is now in production.

Technologies: Next.js · React

Digichikitsak — voice-enabled prescriptions and AWS deploymentfeature

A MERN web application implementing electronic prescriptions: creating new ones, converting existing records, and storing them securely. I implemented voice input and commands using the ElevenLabs and Bhashini APIs, then containerised it with Docker and deployed the project to AWS ECS — setting up the infrastructure through to CloudWatch alerts — with CI/CD through GitHub Actions.

Project: Digichikitsak – Digital Prescription Platform

Technologies: React · Node.js · Express · MongoDB · Docker · AWS · Git

Elphie — cloud video and live streaming for dental imaginginfrastructure

Elphie pairs a C++ desktop application, which drives an intraoral camera and runs a caries-detection model, with a web application. I worked inside the C++ application itself to upload the captured video to AWS S3 and publish a live stream through AWS IVS, so a patient's family or dental students can watch an examination as it happens. I also built the web application from scratch as a Next.js monolith to show recordings and carry the live stream, with AWS Cognito authentication and appointment booking — a doctor selects a patient, streams live from the C++ app, and the recording is stored against that patient automatically before the diagnosis is written up. I deployed the web application on AWS Amplify.

Project: Elphie – Dental Imaging Capture and Live Streaming

Technologies: C++ · AWS · Next.js · React

Axion — mobile-driven desktop automationfeature

A Docker-based desktop automation tool in three parts: a MERN cloud relay, a mobile-first Next.js web application, and a Python desktop application. A user types a prompt or speaks into the web app, which creates a task and pushes it to the relay; the desktop app picks it up and executes it. Every step of the run is visible from the phone, and the user can steer the task midway.

Project: Axion – Mobile-Driven Desktop Automation

Technologies: Next.js · React · Node.js · Express · MongoDB · Python · Docker

HealthyMitra — remote caregiving platformfeature

A Next.js monolith letting caregivers look after patients digitally through care circles, which users join as patient or caregiver. Caregivers book appointments and diagnostic reports for their patient and get instant updates from doctors and diagnostic centres; patients can reach doctors any time through chat with WebRTC audio and video calls. Users post updates to their circle with per-post visibility — everyone, caregivers only, doctors, or a selected few. I also implemented Razorpay payments and an admin dashboard covering the platform, and containerised it with Docker for deployment on AWS ECS with CI/CD through GitHub Actions.

Project: HealthyMitra – Care Circles for Remote Caregiving

Technologies: Next.js · React · WebRTC · Razorpay · Docker · AWS · Git

AWS Cloud curriculumresearch

Completed a three-month virtual internship focused on AWS Cloud technologies, delivered through a collaboration between Eduskills and AWS Academy.

Technologies: AWS