• Developed a Doctor Consultation App where doctors upload voice recordings of consultations. Initially used GPT-4’s Whisper AI model for transcription, achieving 65 percent accuracy, later improved to 88 percent by switching to Assembly AI. Used GPT-4 to generate medical reports based on the transcriptions.
• Built a VoIP application in Kotlin that connects to clients’ PBX servers via SIP, utilizing the Linphone SDK for handling incoming and outgoing calls.
• Built an Identity Provider (IDP) that authenticates users using the OpenID Connect (OIDC) protocol.

• Led a website migration to a CMS utilizing Strapi (backend), Next.js (frontend), and GraphQL for data fetching.
• Headed the decoupling of Payment Services, integrating multiple payment gateways such as PayTM, Razorpay, and Eazebuzz.
• Engineered an Easy Collect service that generates payment links and QR codes for seamless payment collection, with eNACH integration for recurring payments.
• Developed a Subscription Configurator microservice with Loopback (Node.js) as the backend.
• Gained experience with caching, queuing systems, and applied various design patterns to improve software efficiency.

• Engineered a microservice for Cart/Checkout, incorporating Golang, MongoDB and JWT for authentication.
• Designed RESTful APIs and modeled databases (both NoSQL and Relational).
• Built dynamic and user-friendly frontend applications using React and Next.js.
• Utilized Golang, Laravel, and Node.js to actively contribute to the development of robust backend systems.

Donate For Dharma (https://donatefordharma.org)

• Utilized Airtable for efficient data storage, and exposed GraphQL for data fetching.
• Created the frontend of the project using Gatsby and Tailwind frameworks.

Temples of India (https://templesofindia.org)

• Developed the backend using Node.js with a PostgreSQL database.
• Added features like infinite scrolling, feedback plugin. Integrated Redis, and Google Analytics.

• Building India’s first student-based networking and community platform to connect like-minded students across universities pan India through interest-based communities.
• Led a team of 20+ individuals and implemented various strategies over LinkedIn and other social media, like funneling, call to action (CTA), scraping, etc.
• Outcome : Connected over 10,000+ students pan India from 200+ universities. Increased LinkedIn reach over 2 Lakh; 7,000 + students joined Follege interest based communities over the pilot executed on Whatsapp and subscribed to its daily updates, Follege Shots.