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Mir Wise K. - , NLTK, Data Science

My name is Mir Wise K. and I have over 6 years years of experience in the tech industry. I specialize in the following technologies: UX & UI, JavaFX, Mobile UI Design, Android App Development, Database, etc.. I hold a degree in Master of Science (MS), Master of Science (MS), Master's degree. Some of the notable projects I’ve worked on include: Swift Bird - LLM RAG [Emergency Room Assistant], Benchmarked LLMs for sentiment analysis task, Save Bleeding - Blood Donation Android App, Shopsmart - E-commerce Android App, Meetup - Managed Get-togethers Android App, etc.. I am based in Paris, France. I've successfully completed 11 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • 6 years

  • UX & UI

    4 Years

  • JavaFX

    3 Years

  • Mobile UI Design

    2 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Swift Bird - LLM RAG [Emergency Room Assistant]

Swift Bird is a RAG LLM that helps emergency staff in hospital preselect the patients that need to be dealt with emergent needs based on their interaction with the chatbot. It uses Mistral Large model with additional medical knowledge/context extracted from open-source datasets. It is capable to interact with voice mode with Speech-to-Text and Text-to-Speech capabilities and moreover, it's multi-lingual [English, French, Spanish]

Benchmarked LLMs for sentiment analysis task

Compared the performance of DistilBERT, BERTweet with conventional CNN and Logistic Regression models in sentiment analysis task.

Save Bleeding - Blood Donation Android App

Save Bleeding is a blood donation android app. 1) Fixed bugs 2) Added more features

Shopsmart - E-commerce Android App

Mockup design for e-commerce app, client requirement was a simple UI that doesn't distract and overwhelm client with jargon of information.

Meetup - Managed Get-togethers Android App

Meetup is an android app that allows friends to decide a meeting venue for an event based on friends vote. Each friend can either vote for a place already marked by other friends or add their own entry. The app uses Places API for searching places, Firebase Cloud Messaging for push notifications at server side configured at Firebase Functions (NodeJS).

Education

  • Université Libre de Bruxelles

    Master of Science (MS) in Big Data Management & Analytics

    2022-01-01-2023-01-01

  • Universitat Politècnica de Catalunya

    Master of Science (MS) in Big Data Management & Analytics

    2023-01-01-2023-01-01

  • Centrale Supelec

    Master's degree in Big Data Mangement & Analytics

    2023-01-01-2024-01-01

Languages

  • English
  • Spanish
  • French

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