SAIKIRAN KALLURI

AarogyalinQ Private LimitedAug 2026 – Present

Forward Deployed Engineer (Part-Time)

• Shipped a Next.js caregiving platform (HealthyMitra) with WebRTC calling, Razorpay payments, and an admin dashboard, deployed with Docker on AWS ECS through GitHub Actions CI/CD.
• Designed care circles so caregivers can act for a patient, book appointments and diagnostics, and get instant updates from doctors and labs, with per-post visibility control.

Aude.aiJan 2026 – Jul 2026

Software Engineer Intern

• Worked across the product, a Next.js frontend with a Node and Express backend using Redis, fixing UI bugs before being given ownership of the diagnostics app.
• Designed and built a Next.js/React diagnostics dashboard giving engineers real-time, deep-linkable visibility into data-integrity issues across the product.
• Containerized the diagnostics app with Docker and deployed it to AWS, open only to the engineering team.
• Found that the app gave no feedback between a click and the data arriving, and shipped a skeleton-loading UX improvement to production, improving perceived performance by an estimated 50%.

AarogyalinQ Private LimitedAug 2025 – Jan 2026

Forward Deployed Engineer Intern

• Implemented voice input (ElevenLabs, Bhashini APIs) for prescription creation on a MERN platform (Digichikitsak), cutting form-filling time by an estimated 3x versus manual entry, and deployed it with Docker on AWS ECS through GitHub Actions CI/CD.
• Moved a production C++ desktop application's video capture from local storage (~3 minutes to save and access) to direct-to-cloud capture and live streaming on AWS S3 and IVS, making footage available in under 30 seconds.
• Built the companion Elphie web app from scratch as a Next.js app with AWS Cognito sign-in, appointment booking, and diagnosis entry, deployed on AWS Amplify.
• Built Axion, a phone-driven desktop automation system (a Next.js web app, a MERN cloud relay, and a Python desktop agent) that streams each step back to the phone so the user can steer it.

ThirdEyeAI – Real-Time Engagement Detection Platform (React, Node.js, Python, WebRTC)

• Built a WebRTC meeting platform with privacy-first, client-side engagement inference (TensorFlow.js), trained on a hybrid CNN/ResNet ensemble reaching 94.25% accuracy.
• Added instructor engagement views and RAG, so instructors can query participation data in natural language.

CertiSafe – Certificate Management System (React, Node.js, AWS, DynamoDB, Cloudinary)

• Led a four-member team to build and deploy an institutional certificate-management platform, storing structured records in DynamoDB and media through Cloudinary; onboarded 95+ users.
• Shipped a working institutional platform, not a prototype: certificate records, cloud-hosted media, and user workflow.

Portfolio – Content-Driven Case-Study Platform (Next.js, TypeScript, Git)

• Built a CI pipeline gating every change on lint, type checks, and 300+ unit and Playwright browser tests against a production build before it reaches the live site.
• Traced an iPad frame-rate regression to backdrop-filter by measuring it, cutting frame time from 83ms to 16.7ms.

Vaagdevi College of Engineering2022–2026

Bachelor of Technology – Computer Science & EngineeringCGPA: 8.27