OS

Data Scientist

https://talent.gravityer.com/os

I specialize in building projects that enhance Automated Speech Recognition,Text-to-Speech, and expertise in LLMs, Multi-Agent Systems, and RAG-based solutions.

Montreal, Quebec

Key Strengths

Demonstrated interest in AI/ML with projects like 'Speech-Separations-with-variable-number-of-sources', 'COMP-691 (Conversational AI)', 'Recommendation-engine', and 'better-call-lincon'.
Experience with Python, a core language for Data Science.
Exposure to NLP and Flask in the 'Recommendation-engine' project.
Familiarity with SpeechBrain for audio processing, relevant for certain data science applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of interests, from AI/ML to web development (React.js) and even C++/C#. This breadth suggests adaptability and a willingness to explore different technologies. However, the lack of team-based projects or detailed descriptions makes it difficult to assess collaboration or specific cultural alignment. The projects are primarily personal, which is common for candidates with limited professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

better-call-lincon

January 22, 2026 – Present

AI-Powered Personalized Immigration Agent with crew.ai, Landing.ai OCR, FastAPI.

View Project

Speech-Separations-with-variable-number-of-sources

April 25, 2025 – May 13, 2025

Audio source separation model with a Whisper ECAPA-TDNN counter and pre‐trained speechbrain/sepformer-libri3mix and speechbrain/sepformer-wsj02mix for speech separation, implemented with SpeechBrain.

View Project

COMP-691

January 16, 2025 – April 5, 2025

Conversational AI

View Project

Recommendation-engine

October 11, 2020 – October 11, 2020

Built with NLP,FLASK,Elasticsearch .

View Project

ElementoryERP

May 6, 2018 – October 26, 2021

A system of integrated applications to manage the business and automate many back office functions related to technology, services and human resources.

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Widget-projects

March 28, 2018 – January 4, 2023

Weekend Fun projects on React.js

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See-Sharp-

February 4, 2018 – March 20, 2018

C# Noob Code

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React-movie-rater

November 1, 2017 – November 10, 2017

Movie rating system in React.js

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Mongo-vs-Sql-

September 26, 2017 – September 30, 2017

Mongo-vs-Sql- — Dev.to repository

View Project

hack.js

May 28, 2017 – September 26, 2018

hack.js — Dev.to repository

View Project

Key Strengths

Demonstrated interest in AI/ML with projects like 'Speech-Separations-with-variable-number-of-sources', 'COMP-691 (Conversational AI)', 'Recommendation-engine', and 'better-call-lincon'.
Experience with Python, a core language for Data Science.
Exposure to NLP and Flask in the 'Recommendation-engine' project.
Familiarity with SpeechBrain for audio processing, relevant for certain data science applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.

OS

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit