Final-year Computer Science Engineering student at RNS Institute of Technology, Bengaluru, graduating with a 9.33/10 CGPA and recognized as branch topper in the 5th semester. I build full-stack, production-oriented systems - from real-time platforms with optimized data pipelines to AI-integrated products - grounded in strong fundamentals across data structures, system design, and applied AI.
My work spans full-stack product engineering, Generative-AI-driven feature development, and developer tooling, with a growing focus on AI agent orchestration and LLM-powered systems. I approach engineering with a product mindset - prioritizing scalability, developer experience, and real-world impact over surface-level implementation.
- Software Engineering roles & internships at top-tier product companies
- Generative AI and Applied AI engineering opportunities
- Full-Stack Development roles with strong system design ownership
- Open-source collaboration on developer tooling & platform engineering
Languages
Frontend
Backend & Databases
Cloud, DevOps & Tooling
🛠️ Buildflow AI — AI-Powered App Builder (Lovable Clone)
An AI application builder where users describe an app in natural language and receive a generated, runnable project — built entirely by hand, with the AI agent itself as a product feature rather than a build tool.
| Attribute | Detail |
|---|---|
| Stack | Next.js 16, tRPC, Prisma 7, Clerk (Core 3), Zod 4, Inngest 4 + Agent-Kit, E2B Sandboxes, shadcn (Base UI) |
| Scale | Multi-tenant project generation with background job orchestration and per-project sandboxed execution |
| Performance | Async job pipeline via Inngest decouples AI generation and sandbox provisioning from the request/response cycle |
| Security | Clerk-based authentication and route protection; isolated E2B sandboxes for executing AI-generated code |
| Impact | Built end-to-end by hand — no AI coding agent used in its construction — while shipping an in-product AI agent that generates apps for end users |
| Repository | github.com/abhijeethkv17/Buildflow-AI |
Buildflow AI pairs a production-grade Next.js stack with a custom AI agent pipeline — from prompt to generated code to a live sandboxed preview — while staying current with fast-moving major-version upgrades across the stack.
🎥 PairPrep-IQ — Live Pair Interview Preparation Platform
A "Pro version of LeetCode" — a MERN platform for individual and live pair interview practice, with video calling, screen sharing, and real-time chat built into every session room.
| Attribute | Detail |
|---|---|
| Stack | MongoDB, Express.js, React, Node.js — real-time video calling, screen sharing, and chat inside session rooms |
| Scale | Supports both solo practice and live two-person pair-prep sessions from a shared problem set |
| Performance | Real-time sync across video, screen-share, and chat channels within each session room |
| Security | Session-scoped access between paired participants |
| Impact | Core platform is feature-complete; now extending the static problem set into a DB-backed, admin-managed problem bank shared across individual and pair-prep modes |
| Repository | github.com/abhijeethkv17/PairPrep-IQ |
Started from a full production build-out, then extended past the tutorial scope — turning a hardcoded problem file into a proper database-backed problem bank with admin-only CRUD.
🏡 WanderLust — Full-Stack Rental Platform
A full-stack property rental platform built with a focus on efficient data access patterns and a clean, scalable backend architecture.
| Attribute | Detail |
|---|---|
| Stack | React, Node.js, Express.js, MongoDB |
| Scale | Multi-model schema supporting listings, bookings, reviews, and user data |
| Performance | Optimized MongoDB aggregation pipelines to reduce query overhead on core listing and search flows |
| Security | Session-based authentication, input validation, and role-based access control |
| Impact | End-to-end ownership of a real-world marketplace product, from schema design to UI |
| Repository | github.com/abhijeethkv17/wanderlust |
Built to explore the engineering challenges behind two-sided marketplaces — flexible schema design, efficient querying at scale, and a UI that stays fast as data grows.
| Recognition | Details |
|---|---|
| 🏆 Branch Topper | Ranked #1 in Computer Science Engineering branch, 5th Semester |
| 🎓 Academic Excellence | 9.33/10 CGPA throughout the undergraduate program |
|
Front-End Development — JavaScript Certified proficiency in core JavaScript programming, DOM manipulation, and asynchronous programming fundamentals. |
AI Essentials Certified foundation in applied AI concepts, responsible use, and practical AI-powered tools. |
current:
learning:
- System Design & Distributed Systems
- AI Agent Orchestration (Inngest Agent-Kit, LLM tool-use)
building:
- PairPrep-IQ — DB-backed problem bank on a MERN platform
- Polaris — AI-powered code editor (Cursor clone), next up
exploring:
- LLM-powered developer tooling
- Applied Generative AI
open_to:
- Software Engineering Internships
- Generative AI / Applied AI Engineering Roles
- Full-Stack Development Opportunities
"Engineering isn't just about writing code — it's about building systems people can rely on."