About Me
I am a Full-Stack AI Engineer passionate about building intelligent, scalable, and user-focused applications by combining AI/ML, LLMs, and automation with modern full-stack technologies like Python, JavaScript/TypeScript. Skilled in deep learning, NLP, vector databases, and semantic search, I enjoy exploring how AI can transform workflows, make accurate predictions, and solve complex real-world problems. With strong experience in databases, cloud deployment, and CI/CD pipelines.
As a side quest, I founded Geek Room, a 1,00,000+ developer community that connects students across India through hackathons, workshops, and bootcamps, fostering growth and collaboration. Driven by curiosity and creativity, I thrive on learning, experimenting, and bringing impactful ideas to life at the intersection of AI innovation, product development, and community building.
Technical Expertise
Languages and Development
Database and Cloud
Professional Experience
Worked as a Part-Time Frontend Engineer at Figr, where I built reusable atoms, molecules, and UI components using the Figma Plugin API. These components formed the foundation for LLM-driven screen generation, enabling structured and scalable automated UI creation.
Personal Projects
Cloud-native AI video processing platform
- Architected and deployed a cloud-native AI video processing platform on Azure App Service with asynchronous processing using Azure Functions and Azure Service Bus for scalable, event-driven workflows.
- Designed secure video ingestion and storage using Azure Blob Storage with lifecycle policies to optimize storage cost.
- Implemented semantic vector search using Azure AI Search (vector indexing + custom scoring profiles) to enable low-latency contextual retrieval across large transcript datasets.
- Integrated Azure OpenAI Service for transcription and summarization pipelines with structured output validation.
DevTools API Insight
- Developed API Insight, a Chrome DevTools extension for advanced network traffic capture, analysis, and debugging with intelligent session auto-segmentation and real-time statistics.
- Engineered advanced filtering capabilities to eliminate framework noise, static assets, third-party analytics, and preflight requests—dramatically improving API debugging efficiency.
- Implemented deep content inspection with secure full-height previews for HTML, images, and PDFs embedded within JSON responses.
- Built an instant request replay engine allowing modification of methods, headers, and payloads with automatic header sanitization to prevent CORS and browser-level errors.
Real Time Chat Application
- Built a real-time chat application with React.js and Firebase, focusing on simple, reliable messaging.
- Enabled real-time communication using Firebase Realtime Database, so messages are instantly sent and received.
- Added Google Authentication to make login easy and secure for users.
- Restricted access so only logged-in users can join the chat room, keeping the conversation private.
- Used Cloud Firestore to store messages, ensuring they are saved and can be accessed anytime.
Blogs
A quick overview to Docker
As an engineer, I use Docker commands daily to run my applications. If you’re also someone who needs a quick overview of Docker along with the commonly used commands, you’re in the right place.
How server actually works?
So, I'm currently in the pre-final year of my graduation and working as a Frontend Engineer Intern at a startup called “Bynd AI”. Honestly, I’m not sure if it’s just the early spark of my career, but every single day feels exciting. There’s something incredibly fulfilling about going to the office, sitting down with a bunch of brilliant people, solving real problems, and slowly peeling back the layers of how the apps we use every day actually work behind the scenes.
Check out more of my articles and technical deep dives on Medium.
Visit Blog Page