Building software that works beautifully.
I build and test modern software with a focus on clean interfaces, reliable systems, automation, and intelligent applications.

About Me
Engineering at the intersection of development, quality, and AI.
I'm a recent Computer Science Engineering graduate with hands-on experience across software testing, web development, automation, and AI applications.
My experience has given me exposure to both sides of the product lifecycle. I build interfaces and applications using technologies like React, Next.js, TypeScript, and Python, while also working extensively with software testing, defect analysis, automation, and quality engineering.
I'm particularly interested in AI-powered software and developer tooling. I've worked with local LLMs, embeddings, vector databases, RAG pipelines, retrieval evaluation, and AI-assisted workflows.
I care about more than simply making software work. I like understanding why something fails, improving the underlying system, and creating experiences that feel simple and intentional to the person using them.
Expertise
What I build, test, and explore.
I work across software development, quality engineering, automation, and AI, with a focus on building reliable products and continuously improving how software is built.
Software & Web Development
I build modern web applications and full-stack products with a focus on clean interfaces, maintainable architecture, and responsive user experiences.
React · Next.js · TypeScript · JavaScript · Node.js · Python
Quality Engineering
I approach software from the perspective of both a builder and a tester, focusing on reliability, edge cases, and real-world user behavior.
Manual Testing · Exploratory Testing · Regression · API Testing · Defect Analysis
Automation & Engineering
I use automation to eliminate repetitive work, improve testing workflows, and make development processes more efficient.
Selenium · Cypress · Playwright · CI/CD · Browser Automation
AI & Intelligent Systems
I'm exploring how AI can become part of useful software rather than simply another chatbot interface.
RAG · LLMs · Embeddings · Vector Search · Ollama · ChromaDB · AI Applications
const build = (idea) => {
const ui = render(idea);
return optimize(ui);
}
build("beautiful_software");BUILD
Experience
The path so far.
From software testing and automation to AI/ML engineering, each role has shaped how I build, test, and think about software.
Wyreflow Technologies
Software testing, bug identification, test execution, and QA workflows.
Rablo.in
Software quality assurance, testing workflows, defect identification, and product validation.
Nurona
Manual testing · Exploratory testing · Regression testing · Defect reporting · Selenium · Cypress · Test automation · CI/debugging · AI product testing
Aashaya Design Solution
Working as a Graduate Engineer Trainee in the AI/ML stream, gaining practical experience in AI/ML engineering and modern software development.
Projects
Selected work
Evaluating the quality of AI retrieval systems
RAG Retrieval Evaluation
An experimental RAG evaluation system designed to measure how effectively a retrieval pipeline finds relevant information from documents. The system processes documents, creates semantic chunks, generates embeddings, stores them in a vector database, and retrieves relevant passages. I explored evaluation using ground-truth datasets and metrics like Precision@K, Recall@K, and F1@K.
Instant video meetings without the friction
HolaMeeto
A lightweight video meeting platform that lets users generate and share meeting links instantly without requiring traditional account creation. Built around Jitsi Meet, the application focuses on simplicity, privacy, and a fast path from opening the website to joining a call.

Turn daily tasks into a game
QuestWheel
A gamified productivity application where users add tasks, spin a roulette wheel to select what to work on, and earn XP by completing tasks. The project combines productivity mechanics with game-inspired interactions to make routine task management more engaging.

Real-time multiplayer number dueling
4Sure
A multiplayer 4-digit number guessing game where players can challenge an AI or compete against other players in real time. The project explores real-time communication, multiplayer state management, persistent sessions, and interactive game logic.
Skills
Technologies I work with
Development
- Python
- Java
- C++
- JavaScript
- TypeScript
- React
- Next.js
- Node.js
- Flask
- MongoDB
Quality Engineering
- Manual Testing
- Exploratory Testing
- Regression Testing
- Selenium
- Cypress
- Playwright
- API Testing
- Test Automation
- Bug Tracking
AI & Data
- RAG
- LLMs
- Ollama
- Embeddings
- ChromaDB
- Vector Search
- Semantic Search
- Retrieval Evaluation
Tools & Design
- Git
- GitHub
- Docker
- AWS
- Linux
- Jira
- Figma
- Tailwind CSS
Contact
Have something worth building?
I'm open to interesting projects, engineering opportunities, collaborations, and conversations around software, AI, testing, and product development.