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Ronak G. Python, React and Modern Frameworks

My name is Ronak G. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Python, TypeScript, JavaScript, React, Docker, etc.. I hold a degree in , Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Voice-based consent verification with Speechbrain and Whisper, Distributed Async Task Worker, Automated Product Tagging. I am based in Berlin, Germany. I've successfully completed 3 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • Python, React and Modern Frameworks

    4 years

  • Python

    1 Year

  • TypeScript

    2 Years

  • JavaScript

    3 Years

Direct hire

Potentially possible

Previous Company

Zalando

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Experience Highlights

Voice-based consent verification with Speechbrain and Whisper

A secure voice-based consent verification system using SpeechBrain for speaker recognition and OpenAI's Whisper for speech-to-text conversion. It ensures reliable consent by analyzing both the spoken content and speaker identity.

Distributed Async Task Worker

A scalable, modular queue/worker system built with NestJS, BullMQ, Redis, and PostgreSQL to support async task processing and workflow orchestration for integration platforms (iPaaS). Designed for high throughput, task retries, and extensible workflows.

Automated Product Tagging

Product auto-tagging is an advanced technology that automatically assigns relevant tags or labels to products based on their visual features. Instead of manually analyzing each product, this technology uses image recognition models to do the categorization. This makes the process faster, more accurate, and less reliant on human effort.

Education

  • IU University of Aplied Science

    in

    2023-01-01-2024-01-01

  • Indus University

    Bachelor of Computer Science (BCompSc) in

    2016-01-01-2020-01-01

Languages

  • English
  • Gujarati
  • Hindi

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