Dainwi Kumar.
Building Scalable Systems and AI-Powered Applications.
Full-Stack Engineer focused on backend performance, real-time infrastructure, and local-first AI. Open to internship opportunities.
Open to internship opportunities — graduating August 2027
The "Under the Hood" Philosophy
I am a Software Engineering student driven by the mechanics of Distributed Systems, Compiler Design, and AI Engineering. While many focus on the interface, I thrive in the logic: optimizing database indexing, building fault-tolerant microservices, and engineering local-first AI tools that treat user privacy as a feature, not an afterthought. My current focus is at the intersection of Retrieval-Augmented Generation (RAG) and real-time infrastructure — building systems that are fast, secure, and production-ready.
- ▹Smart India Hackathon Qualifier
- ▹Architect of Local-First AI Workflows
Experience
CODTECH IT Solutions Pvt. Ltd. — Frontend Development Intern
- ▹Developed a library of high-performance reusable UI components, decreasing technical debt and redundant code by 30%.
- ▹Optimized Core Web Vitals via lazy loading and route-based code splitting, resulting in a 25% improvement in LCP (Largest Contentful Paint).
TripleHash — Full Stack Developer
- ▹Refactored legacy SQL schemas and complex joins, reducing report generation latency from 15s to 6s (60% optimization).
- ▹Designed and deployed a granular Role-Based Access Control (RBAC) system for secure multi-tenant isolation.
- ▹Automated end-to-end billing logic, eliminating manual data-entry overhead and reducing operational errors by 40%.
Featured Projects
CodeMind
AI Code Knowledge Base
An AI-powered code knowledge base that lets developers query an entire codebase in plain English and get answers with exact file citations — zero hallucinations. Built 4 features from scratch: semantic vector search, RAG chat with SSE streaming, file-similarity recommendations, and an agentic Q&A pipeline that decomposes complex queries into sub-tasks. Designed a line-based chunking algorithm with configurable overlap for 60% better retrieval relevance. Achieved millisecond-latency search on 1B+ vectors via Endee vector DB — fully local, fully private, zero API cost.
InterviewAI
AI-Powered Interview Prep Platform
A full-stack AI interview preparation platform with real-time voice-based mock interviews, speech recognition, and LLM-generated feedback. Architected a hybrid database layer using Cloudflare D1 (SQLite at edge) via a custom sqlite-proxy REST API with Drizzle ORM — handling auth, sessions, and interview history. Integrated Razorpay and Stripe for tiered subscription billing with access control.
Research Agent
Multi-Agent Deep Research Engine
An AI-powered deep research engine that transforms any query into a citation-backed research report by orchestrating a multi-agent pipeline: Query Expansion → Web Search → Content Scraping → LLM Ranking → Synthesis, processing 15–30 unique sources per session. Implemented concurrent page fetching via HTTPX (HTTP/2) with MD5-based deduplication. Engineered real-time SSE streaming across the full stack with a Perplexity-inspired dark UI on Tailwind CSS 4 and Radix UI.
Technical Skills
Achievements
Smart India Hackathon – Pre-Qualifier (SIH 2025)
Successfully advanced through the rigorous SIH 2025 pre-qualification phase.
View CertificateOracle Academy – Database Design
Professional certification in relational database modeling and normalization (Nov 2024).
View CertificateReady to collaborate?
I'm open to internship opportunities, collaborations, and interesting projects. Let's build something together.