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
250+Problems Solved
2+Years Coding
10+Projects Built
4+AI Systems

Experience

CODTECH IT Solutions Pvt. Ltd. Frontend Development Intern

Jul 2025 – Aug 2025Remote
  • 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).
Technologies:React, Performance Engineering, Core Web Vitals

TripleHash Full Stack Developer

Jan 2024 – Jun 2024Ranchi, Jharkhand
  • 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%.
Technologies:PHP, MySQL, SaaS Architecture, RBAC

Featured Projects

SemSync

High-Performance Semantic CDC Middleware

A Rust-based middleware daemon that intercepts PostgreSQL Change Data Capture (CDC) streams and evaluates semantic drift in real-time to prevent redundant vector database updates. Engineered a two-path event triage system: a deterministic length-change fast path and an in-memory ONNX cross-encoder slow path for sub-50ms local ML inference. Architected with exactly-once processing guarantees, a custom circuit breaker pattern for fault tolerance, and asynchronous batch dispatching — drastically reducing OpenAI API costs.

Stack:Rust, PostgreSQL, ONNX Runtime, Qdrant, Tokio, Docker

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.

Stack:Python, FastAPI, Next.js, Endee, Ollama, sentence-transformers

BrandForge

Multi-Tenant AI Brand & Campaign Studio

A full-stack, production-ready SaaS platform for automated brand identity analysis and marketing campaign generation. Engineered a robust multi-tenant Node.js backend featuring custom API key issuance, rate-limiting, and granular usage tracking models. Integrated Clerk for secure enterprise authentication and Stripe webhooks for automated tiered billing. Designed a sleek, responsive Next.js dashboard for seamless user workflow and asset management.

Stack:Next.js, Node.js, Express, Clerk Auth, Stripe Billing, OpenAI

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.

Stack:Python, FastAPI, Next.js, Ollama, HTTPX, DuckDuckGo API

Technical Skills

Languages
Python, C++, JavaScript, TypeScript, SQL
Systems & Backend
FastAPI, Node.js, Express, WebSockets, Docker
AI & Data Infrastructure
LangChain, Ollama, ChromaDB, Redis
Frontend Architecture
React, Next.js, TailwindCSS, shadcn/ui

Achievements

Smart India Hackathon – Pre-Qualifier (SIH 2025)

Successfully advanced through the rigorous SIH 2025 pre-qualification phase.

View Certificate

Oracle Academy – Database Design

Professional certification in relational database modeling and normalization (Nov 2024).

View Certificate

Ready to collaborate?

I'm open to internship opportunities, collaborations, and interesting projects. Let's build something together.