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Pranesh

Pranesh Mukhopadhyay

Backend & applied ML engineer, 5.5 yrs, Mumbai

I design and ship production Python systems: FastAPI microservices, real-time decision systems and ML-powered APIs built for high-throughput environments.

Experience

  1. Boxwish Media LLP / Spiritzone

    – Present

    Consultant - Data Engineering

    Built the real-time order dispatch system (30+ orders/min per instance) and an ETA prediction service; an LLM agent pipeline cut SKU onboarding work by 16–20 hrs/week.

  2. Quosphere Infosolutions Pvt. Ltd.

    –

    Junior Data Scientist

    Shipped recommendation and market-basket services with automated daily retraining and 90%+ test coverage.

Projects

Pyfake

ActiveLibrary2025

A Flexible and Extensible fake data generator based on Pydantic models.

  • Schema aware fake data generator with support for custom providers
  • Published on PyPI with CI-backed testing
  • Easily extensible with custom providers and generators

Stack: Python · Pydantic · Pytest · GitHub Actions

Monolg

MaintainedLibrary2022

Centralized logging library for Python

  • Plug-and-play structured logging library
  • Published on PyPI with CI-backed testing
  • Documented on ReadTheDocs

Stack: Python · MongoDB · Pytest · GitHub Actions

All projects (3)

Blog

  • Markdown & Writing Guide

    A reference post showcasing this site's Markdown features: headings, lists, tables, LaTeX, admonitions, code, diagrams, footnotes, and more.