I am a Full Stack Software Engineer and B.Tech Information Technology student at RCPIT (2024–2028), focused on building production-grade web applications and AI-integrated developer tools. I specialize in designing systems that are technically sound and intuitive for end users — bridging engineering rigor with product thinking.
My work spans the full engineering lifecycle: architecting scalable backends with Spring Boot, building fluid and accessible frontends in React, and integrating AI capabilities that deliver genuine user value. I approach every project with a product-first mindset — asking why before how.
I am actively deepening my expertise in Advanced Data Structures & Algorithms (Java), Distributed System Design, and AI-native application development.
Open To: Full Stack Roles · Frontend Engineering · AI Product Development · Open Source Collaboration · Hackathon Teams
Languages
Frontend
Backend & Databases
Cloud, DevOps & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| LLM Integration | ██████████ 90% | Gemini, Groq, OpenAI API orchestration in production apps |
| Prompt Engineering | █████████░ 85% | Structured prompts, chain-of-thought, few-shot patterns |
| AI-Powered Dev Tools | █████████░ 85% | Intelligent code assistants, context-aware debugging agents |
| RAG Architecture | ████████░░ 75% | Retrieval-augmented generation for knowledge-grounded AI |
| REST + AI Microservices | █████████░ 85% | Productionizing AI features via decoupled Spring Boot services |
| Vector Databases | ███████░░░ 65% | Semantic search using embedding-based retrieval systems |
🧠 Debugra — AI Collaborative Coding Platform
Debugra is an AI-powered collaborative development environment engineered to redefine how developers write, debug, and iterate on code. The platform combines a real-time multiplayer IDE with deeply integrated AI assistance — providing intelligent suggestions, automated error explanations, and pair-programming workflows at scale.
The system is architected as a decoupled full-stack application: a React-based frontend offering a VS Code-inspired interface, a Node.js/Express signaling layer for WebRTC real-time collaboration, and a Spring Boot AI engine interfacing with Groq and Gemini LLMs for sub-second intelligent responses.
| Attribute | Details |
|---|---|
| Stack | React · Node.js · Spring Boot · WebRTC · Groq LLM · Gemini AI |
| Scale | Supports concurrent multi-user collaborative sessions |
| Performance | < 200ms AI response latency via optimized LLM streaming |
| Security | Google OAuth 2.0 · JWT session management · CORS hardening |
| Impact | Reduces debugging turnaround time by an estimated 60% |
| Deployment | Google Cloud Run · Vercel · Firebase Hosting |
| Repository | github.com/omkhandare55 |
⚡ NoteFlow — AI Smart Productivity Platform
NoteFlow is a next-generation productivity workspace engineered for developers and knowledge workers who demand more than a traditional note-taking application. It surfaces intelligent insights from existing notes, auto-generates structured summaries, and provides a distraction-free environment that adapts to individual workflow patterns.
Built on a Spring Boot backend with a React frontend, NoteFlow leverages AI summarization pipelines to process large volumes of text and surface relevant connections — functioning as an intelligent second brain for its users.
| Attribute | Details |
|---|---|
| Stack | React · Spring Boot · MongoDB · REST API · AI Summarization |
| Scale | Multi-user support with isolated, encrypted note workspaces |
| Performance | Optimized data fetching via pagination and lazy loading |
| Security | User authentication · Private workspaces · Input sanitization |
| Impact | Transforms fragmented notes into structured, searchable knowledge |
| Repository | github.com/omkhandare55 |
RCPIT · 2024 – Present
Designing and delivering end-to-end software solutions as part of academic and self-driven engineering initiatives. Full ownership of architecture, development, deployment, and iteration.
- Architected and shipped Debugra, an AI-native collaborative IDE deployed on Google Cloud Run with a production-grade CI/CD pipeline
- Engineered NoteFlow, a full-stack productivity platform integrating AI summarization with a Spring Boot backend and React frontend
- Designed responsive, WCAG-accessible UI systems using React, Tailwind CSS, and custom design tokens
- Integrated LLM APIs (Gemini, Groq) into production applications, implementing streaming, error handling, and fallback strategies
- Configured GCP infrastructure including Cloud Run, Artifact Registry, Firebase Hosting, and Secret Manager
| 🏅 Recognition | 📋 Details |
|---|---|
| Production Deployments | Shipped Debugra & NoteFlow to GCP Cloud Run and Vercel serving real users |
| AI Integration Pioneer | Early adopter building with Groq + Gemini in production full-stack applications |
| Hackathon Competitor | Delivered full-stack AI prototypes under 24–48 hour hackathon constraints |
| Full Stack at Year 1 | Built and deployed scalable, cloud-hosted web applications in first year of B.Tech |
| Open Source Contributor | Actively studying and contributing to community-driven open source projects |
developer: Om Khandare
college: RCPIT — B.Tech Information Technology (2024–2028)
learning:
- Advanced DSA with Java (Trees, Graphs, Dynamic Programming)
- Distributed System Design Patterns
- Spring Security & Microservices Architecture
- LLM API optimization and agentic AI patterns
building:
- Debugra v2.0 — Enhanced AI Pair Programming Features
- NoteFlow — AI Knowledge Graph Integration
- Open-source developer tooling contributions
exploring:
- Vector databases and RAG pipelines
- WebAssembly for high-performance frontend
- Edge computing and serverless architectures
- Advanced UI animation with Framer Motion
open_to:
- Full Stack Engineering Internships & Roles
- AI Product Development
- Hackathon Collaborations
- Open Source Contributions
"The best engineers don't just write code — they craft systems that outlive the sprint, delight the user, and scale beyond the roadmap."