Portrait of Teesha Khandale

TEESHAKHANDALE

BACKEND SOFTWARE ENGINEER • NODE.JS • AI

I build production APIs, backend systems, and AI-powered applications from idea to deployment.

PROJECTS

LAB

SKILLS

EXPERIENCE

2021 - 2022

Software Engineering Intern

Inflection Zone Dev Labs

Worked on production software, repository maintenance, feature implementation, bug fixes, Git workflows, and collaborative development.

  • Software
  • Git
  • Bug Fixes
  • Production

2020 - 2024

Freelance Software Developer

International Clients

Worked with international clients delivering web development, technical consulting, SEO, digital strategy, and performance optimization.

  • Web Dev
  • Consulting
  • SEO
  • Performance

Ended June 2026

Product & Growth Contributor

griv.io

Worked within an early-stage startup environment across product and growth initiatives until the engagement ended in June 2026.

  • Product
  • Growth
  • Startup

ABOUT

Portrait of Teesha Khandale

Identity confirmed

TEESHA KHANDALE

Biography

I build backend systems, web products, and AI-powered tools that solve real problems.

I am Teesha Khandale, a backend-focused software engineer based in Pune. I work primarily with Node.js, Express.js, TypeScript, databases, REST APIs, and production infrastructure. I enjoy turning ideas and business requirements into reliable software that is practical, maintainable, and built to ship.

Operating Style

  • Start with the problem and user workflow
  • Design simple, maintainable systems
  • Build and test before overengineering
  • Prioritize reliability and clarity
  • Ship, measure, and iterate

Signal Priority

  • Backend Engineering
  • Node.js & API Development
  • AI Systems
  • Automation & Product Engineering

Current Signal

Currently focused on building production-grade backend systems and practical AI-powered tools, with an emphasis on APIs, data, automation, and software that creates measurable value.

BLOG

June 29, 2026

Sample Build Log: Product Engineering Loop

A sample cockpit log showing how a product idea moves from problem discovery to a shipped working system.

  • product
  • engineering
  • launch

Good products are rarely built by jumping straight into code. The useful work starts before the editor opens.

1. Identify the real workflow

The first step is understanding what people are already doing, where the friction is, and which parts of the workflow are painful enough to justify a product.

2. Build the smallest useful system

An MVP should not be a weak version of the final product. It should be the smallest version that proves the core workflow can work in the real world.

3. Measure the outcome

The launch is only the beginning. Real usage shows what people understand, what they avoid, and what needs to be simplified.

4. Iterate with constraints

Better products come from focused improvements: reducing steps, improving feedback, removing confusion, and making the system easier to operate.

This sample post exists so the blog reader has a real test entry with a thumbnail, tags, body content, and a clear structure.

June 17, 2026

How the Cockpit OS Boots

A short systems note on turning a portfolio into an operator interface.

  • interface
  • systems
  • notes

The cockpit interface treats a portfolio like a small operating system. The frame stays stable while the center modules change.

Sequence

  • Boot the environment.
  • Allocate the active module.
  • Draw connectors from the primary surface.
  • Reveal content after the frame is stable.

A good interface should feel like it knows what it is loading.

const moduleState = ['scan', 'expand', 'confirm', 'idle'];

Future posts can be added as Markdown files in this folder. Set draft to false and they will appear automatically.

COMMS