Software engineer · AI builder

Ambiguity Architect turning scattered thoughts into structured outcomes

Full-stack engineering, AI/ML, and data systems—designed to turn ambitious technical ideas into dependable products.

01 / Selected work

Products built around difficult technical problems.

01

Open source · AI mentorship

OpenForge

An AI-powered workspace for understanding repositories, exploring architecture, finding contribution entry points, and building better open-source contributions.

Next.jsNode.jsGitHub APIAI
02

AI · Full-stack · Data

SmartSQL

A natural-language-to-SQL workspace that turns questions into executable queries, visualizes schemas, and connects to live databases.

Next.jsNode.jsPostgreSQLLLMs
03

Quantum · Research tooling

Quantalab

A quantum debugging and research environment designed to diagnose circuit failures and support document-grounded experimentation.

Next.jsExpressRAGQiskit
04

Data visualization · Motorsport

Visual-F1

A telemetry visualization project that converts Formula 1 race data into clear strategy, stint, compound, and result narratives.

PythonFastF1PandasMatplotlib

02 / About

I learn by turning ideas into working systems.

I'm a Software developer studying at PES Institute of Technology and Management, focused on the intersection of product engineering, artificial intelligence, and data.

My work spans developer tools, natural-language interfaces, quantum-computing research software, predictive systems, and motorsport data visualization. I care about useful abstractions, clear interfaces, and the engineering required to move beyond a demo.

Education
B.E. Computer Science · 2024—2028
Current focus
AI products · Full-stack systems · Data engineering
Based in
Karnataka, India

03 / Experience

April 2026 — June 2026

Vulcans Learning Collective

Junior Software Engineer Intern

Built Express.js backend architecture for a competitive-exam quiz platform covering 100+ government and professional examinations. Collaborated on client software, debugged performance issues, and contributed through daily delivery cycles.

Express.jsBackend architectureTeam delivery
Visit company

04 / Capabilities

A practical stack for shipping complete products.

01

Languages

  • Python
  • TypeScript
  • JavaScript
  • C
  • C++
  • Java
  • SQLconcept
02

Product engineering

  • Next.js
  • React
  • Node.js
  • Express
  • Tailwind CSS
  • REST APIsconcept
03

AI & data

  • Machine Learningconcept
  • RAGconcept
  • LLM integrationconcept
  • Pandas
  • PostgreSQL
  • Supabase
04

Tools

  • Git
  • GitHub
  • Docker
  • Jupyter
  • Figma
  • Cloud platformsconcept

05 / Signal

01

First Prize · Hack for Hire 2026

Built under pressure with Team MeltDown during a 36-hour hackathon, solving a real product challenge for Vulcan Learning Collective.

Hackathons turn constraints into clarity.

06 / Contact

Let's build something that deserves to exist.

Open to internships, product collaborations, and ambitious engineering conversations.

Start a conversation