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imhimansu28/README.md

Hey, I’m Himanshu. I turn complex systems into software that feels calm, useful, and human.

Backend engineering · Applied AI · Product UI

A little about me

I enjoy taking complicated, noisy problems and turning them into software that feels clear.

My comfort zone is the backend. My curiosity keeps pulling me deeper into AI. And I care just as much about the final interface, because even a powerful system should feel easy and welcoming to the person using it.

Good software should feel less like operating a machine—and more like someone understood what you needed.

Where my energy goes

Screener

At Screener, I work on products and systems that help investors move from raw company information to useful understanding.

My work moves across the full product path:

  • Python and Django backend systems
  • Financial-data processing and research workflows
  • Search, document intelligence, and structured retrieval
  • AI-assisted features built around traceable evidence
  • Automation, testing, monitoring, and production reliability
  • UI and product improvements that make dense information easier to use

ChatterKey

ChatterKey follows a simple idea: expressing a thought should not be slower than thinking it.

Hold a shortcut, speak naturally, and ChatterKey inserts polished or translated text directly into any macOS application. It brings together native Swift engineering, flexible AI providers, privacy-conscious choices, and a small interaction designed to disappear into the user's flow.

Swift · macOS · AI APIs · Voice workflows · Product UI

The tools behind the work

Backend      Python · Django · Flask · REST APIs
Data         PostgreSQL · MySQL · SQL · JSON · Financial-data pipelines
AI           LLM APIs · Search/RAG · Structured outputs · Evaluation · Automation
Product UI   JavaScript · Alpine.js · HTML · CSS · Responsive UX
Engineering  Git · Linux · Testing · Observability · Prometheus · Grafana

What I care about

  • Keep complexity behind the curtain. Users should get clarity, not implementation details.
  • Make AI earn trust. Important answers need evidence, evaluation, and graceful failure handling.
  • Treat UI as part of engineering. Spacing, language, speed, and interaction quality all matter.
  • Leave the code welcoming. The next developer should be able to understand and continue it.

If you care about thoughtful software, useful AI, and interfaces that respect people's time, we will probably have a good conversation.

Pinned Loading

  1. ChatterKey ChatterKey Public

    Open-source AI voice typing for macOS. Hold Fn, speak naturally, and instantly insert polished, translated text into any app using your preferred OpenAI-compatible provider securely.

    Swift 1

  2. OnlineShop OnlineShop Public

    The E-Commerce Platform is a web application developed using the Django framework. It provides users with a seamless online shopping experience and includes various features such as adding products…

    HTML 4 1

  3. django-custome-registrations django-custome-registrations Public

    The Django Custom User Registrations and Login project aims to provide a customizable user registration and login system using Django, a popular Python web framework. The project provides a foundat…

    HTML 2

  4. password_security_check password_security_check Public

    Password Security Check: Users can pass a password as an argument to the code, and it will check if the password is compromised or not

    Python 2

  5. advanced-search advanced-search Public template

    This is a simple search engine that uses Alpine JS to provide a dropdown of search results as the user types in their query. It fetches data from Reddit's search API and displays the results in a d…

    CSS 1 1

  6. vim-master vim-master Public template

    This project is a web-based tool to help users learn and master the vim text editor. It provides a curated list of topics and resources to guide users through their learning journey.

    JavaScript