We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy 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
4 years
1 Year
2 Years
3 Years
Potentially possible
Zalando
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.
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.
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.
in
2023-01-01-2024-01-01
Bachelor of Computer Science (BCompSc) in
2016-01-01-2020-01-01