SAIKIRAN KALLURI
Curriculum Vitae
Hyderabad, Telangana, India | +91-8897008268 | kirankalluri888@gmail.com
linkedin.com/in/saikiran-kalluri | github.com/KiranKalluri268 | saikirankalluri.dev
Profile
Full-stack engineer working in React, Next.js, TypeScript, Node/Express, and Python, building products end to end, from the interface and APIs through to deployment on AWS with Docker and GitHub Actions CI/CD. Most recently shipped a caregiving platform with WebRTC calling and payments at AarogyalinQ, and before that built an internal data-integrity diagnostics platform at Aude.ai.
Experience
Forward Deployed Engineer (Part-Time)
August 2026 – PresentAarogyalinQ Private Limited | Part-time
Returned to AarogyalinQ part-time to build HealthyMitra, a Next.js remote caregiving platform built around care circles, through to deployment on AWS ECS.
- HealthyMitra — remote caregiving platform: Built a Next.js caregiving platform around care circles — appointment booking, doctor chat with WebRTC audio and video, Razorpay payments and an admin dashboard — deployed with Docker on AWS ECS through GitHub Actions.
Technologies: Next.js · React · WebRTC · Razorpay · Docker · AWS · Git
Software Engineer Intern
January 2026 – July 2026Aude.ai | Internship | Remote
Joined as a software engineer intern on the product team, working across a Next.js frontend and a Node and Express backend. After the first month I was given the chance to design and build an internal diagnostics application, which became the main focus of the role.
- Product work and UI bug fixes: Fixed bugs across the Next.js and Node/Express product, mostly in the UI, and learned the data flows the diagnostics work later relied on.
- Internal diagnostics dashboard: Designed and built an internal Next.js diagnostics dashboard that checks the main app's data for every client, with shareable deep links and the user's view shown next to the API response behind it.
- Deployment on AWS: Deployed it on AWS, open only to the engineering team.
- Skeleton loading states: Proposed skeleton loading states for an app that had no loading view, then built them; they are now in production.
Technologies: Next.js · React · Node.js · Express · Redis · Docker · AWS
Forward Deployed Engineer Intern (FDE)
August 2025 – January 2026AarogyalinQ Private Limited | Internship | Remote
Worked across three 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.
- Digichikitsak — voice-enabled prescriptions and AWS deployment: Added voice input and commands to a MERN e-prescription app using the ElevenLabs and Bhashini APIs, and deployed it on AWS ECS with Docker, CloudWatch alerts and GitHub Actions CI/CD.
- Elphie — cloud video and live streaming for dental imaging: Added S3 video upload and AWS IVS live streaming to a C++ dental imaging application, and built its Next.js web app from scratch with Cognito sign-in and appointment booking, deployed on AWS Amplify.
- Axion — mobile-driven desktop automation: Built a desktop automation tool where a typed or spoken prompt on the phone becomes a task a Python desktop app carries out, with every step visible and steerable from the phone.
Technologies: React · Next.js · Node.js · Express · MongoDB · Python · C++ · Docker · AWS · Git
AWS Cloud Virtual Internship
April 2024 – June 2024Eduskills Foundation | Virtual internship | Remote
A three-month virtual internship focused on AWS Cloud technologies, delivered through a collaboration between Eduskills and AWS Academy.
Technologies: AWS
Projects
ThirdEyeAI – Real-time Engagement Detection & Meeting Platform
Full-stack and machine learning developmentAn AI-powered learning platform combining a WebRTC meeting engine, privacy-first engagement detection, instructor analytics, and natural-language session insights.
- Engineered a hybrid ensemble bagging model using a 1D CNN and 1D ResNet trained on the DAiSEE dataset.
- Moved engagement inference into the browser with TensorFlow.js.
- Integrated retrieval-augmented generation for querying participation and distraction data.
Outcomes: 94.25% engagement-detection accuracy · Client-side privacy-first inference
Technologies: React · Node.js · Express · MongoDB · TensorFlow.js · WebRTC · Python · Retrieval-Augmented Generation
CertiSafe – Certificate Management System
Team lead and full-stack developmentA deployed certificate-management platform for an institute, designed to organize certificate records and securely manage associated media.
- Led a four-member team through implementation and deployment.
- Used DynamoDB for application data and Cloudinary for certificate media handling.
- Delivered a working institutional platform rather than a standalone prototype.
Outcomes: 95+ users onboarded · 4 team members led
IPL Score Predictor AI
Machine learning developmentA deep neural network built with Keras to estimate the final score of an ongoing IPL innings from live match context.
- Models current runs, wickets, overs, recent performance, and team information.
- Turns changing match conditions into a practical final-score estimate.
Technologies: Python · Keras · Deep Learning
Links: Source
ResumeByAI
Full-stack developmentA Next.js application that uses GPT-4 Turbo to generate ATS-oriented résumés and integrates Razorpay for paid access.
- Combines guided résumé generation with a payment workflow.
- Focuses generated output on applicant-tracking-system readability.
Technologies: Next.js · GPT-4 · Razorpay
Links: Source
MindPlan
Mobile application developmentA Flutter productivity application for managing goals, prioritizing work with the Eisenhower Matrix, and reviewing daily productivity.
- Connects long-term goals with daily task planning.
- Uses the Eisenhower Matrix to make prioritization explicit.
Technologies: Flutter · Dart · Mobile Development
Content-Driven Case-Study Platform – Personal Portfolio
Full-stack development and site engineeringThis site. A content-driven Next.js portfolio with its own scroll-choreographed animations, an interactive skill graph, and a CI pipeline that gates every change on real tests rather than on trust.
- Built a content-driven site where the case studies, skill graph, and downloadable résumé all read from the same typed JSON.
- Diagnosed an iPad frame-rate regression by measuring rather than guessing, isolating backdrop-filter as the entire cost and cutting frame time from 83ms to 16.7ms.
- Added a real-browser test suite that found a genuine layering bug — a dialog's Close button losing its click to a header control — on its first run.
Outcomes: 16.7ms iPad frame time, down from 83ms · 300+ automated tests gated in CI
Publications
P. Sudarshan Ray, Saikiran Kalluri, Katla Manasa, Koduri Meghana, Mohammed Faizan Ahmed. “Learner Involvement Recognition in Virtual Classrooms through Aggregated Neural Classification Techniques.” International Journal of Novel Trends and Innovation (IJNTI), Vol. 4, Issue 4, April 2026.
Technical Skills
Web & Frameworks: React, Next.js, JavaScript, TypeScript, Node.js, Express, Tailwind CSS, HTML5, CSS3, WebRTC
AI & Programming: Python, Java, TensorFlow.js, LangChain, Retrieval-Augmented Generation, Deep Learning, Keras, C++
Data & Cloud: MongoDB, MySQL, PostgreSQL, Supabase, DynamoDB, AWS, Docker, Redis
Tools: Git, Linux, Figma, Canva, Tableau, Cloudinary
Mobile: Flutter, Dart, Mobile Development
Platforms & Services: GPT-4, Razorpay
Education
Bachelor of Technology – Computer Science & Engineering
Vaagdevi College of Engineering | 2022–2026 | CGPA: 8.27
Certifications
- AWS Cloud Foundations & Architecture – 2024
- Cisco: Python, Cybersecurity & Packet Tracer – 2024
- Oracle Fusion Cloud Process Essentials (SCM, ERP, CX, HCM) – 2025