Experience · Internship
Forward Deployed Engineer Intern (FDE)
AarogyalinQ Private Limited
Worked across four healthcare products as a forward deployed engineer — from voice-enabled prescriptions, to cloud video and live streaming written into a C++ desktop application, to a desktop automation platform and a remote caregiving app.
- Period
- Location
- Remote
- Work mode
- Remote
About the role
As a forward deployed engineer the work sat close to the client: gathering requirements directly, then implementing against them across the company's products.
It spanned four products and a wide range of the stack — a MERN prescription platform, a C++ desktop application for dental imaging with a Next.js front end, a desktop automation tool, and a Next.js caregiving platform.
What I worked on
- 01Feature
Digichikitsak — voice-enabled prescriptions and AWS deployment
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.
Read the Digichikitsak case study - 02Infrastructure
Elphie — cloud video and live streaming for dental imaging
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.
Read the Elphie case study - 03Feature
Axion — mobile-driven desktop automation
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.
Read the Axion case study - 04Feature
HealthyMitra — remote caregiving platform
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.
Read the HealthyMitra case study
Recommendation
Saikiran was an exceptional Forward Deployed Engineer Intern during his time on our team at AarogyalinQ Private Limited. He demonstrated an impressive amount of autonomy, collaborating directly with enterprise clients and consistently delivered production-grade solutions.
He took complete ownership of engineering responsive voice-input workflows on our main website by successfully integrating the Bhashini and ElevenLabs conversational APIs, while also setting up the automated CI/CD pipelines for its deployment. Furthermore, he handled complex cross-functional integration by scaling infrastructure for our existing C++ desktop application, embedding AWS S3 for secure media asset storage and AWS IVS for low-latency live video streaming pipelines.
Saikiran is a sharp, algorithmic problem-solver who adapts rapidly to new technologies and would be a phenomenal asset to any high-velocity engineering team.
Highlights
- Delivered features across four products, working directly with clients to implement them and optimize existing workflows.
- Built voice input and commands with the ElevenLabs and Bhashini APIs, and containerised and deployed the platform on AWS ECS with GitHub Actions CI/CD and CloudWatch alerting.
- Worked inside a C++ desktop application to add AWS S3 video storage and AWS IVS live streaming, and built its companion Next.js web application from scratch.
- Built Axion, a mobile-driven desktop automation system — a Next.js web app, a MERN cloud relay, and a Python desktop agent — controllable by prompt or voice with live step-by-step visibility.
- Built a remote caregiving platform with WebRTC consultations, Razorpay payments, and an admin dashboard.
Skills and technologies
What I learned
- How working directly with clients changes the way requirements turn into implementation.
- How to move between very different stacks — MERN, C++ with cloud video, Python, and Next.js — inside one role.
- How much of healthcare software design is really about permissions and who is allowed to see what.