Farhin SadiaFS
Open to opportunities

Farhin Sadia

@farhinsadia

Machine learning engineer specializing in NLP and deep learning applications.

United States

What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in AI and machine learning.

I am a dedicated machine learning engineer with a strong focus on natural language processing and deep learning applications. My journey in this field has been marked by significant contributions to healthcare AI, environmental solutions, and speech recognition. I have published research on detecting early signs of autism through eye-tracking patterns and have developed innovative transfer learning approaches for waste material classification.

Currently, I am working at micro1 in Los Angeles, where I am developing cutting-edge AI solutions while pursuing research in deep learning architectures and computer vision. My technical expertise includes Python, JavaScript, and various machine learning frameworks, allowing me to bridge the gap between theoretical knowledge and practical application effectively.

Experience

Work history, roles, and key accomplishments

MI
Current

Software Engineer (AI/ML)

micro1

Jul 2024 - Present (11 months)

Developing AI solutions and conducting research in deep learning architectures and computer vision. Enhanced AI interviewer response systems and established scalable MLOps infrastructure, significantly improving deployment efficiency.

BG

Junior Software Developer

BCIC Swiss GmbH

May 2023 - Sep 2023 (4 months)

Developed and deployed full-stack websites using React.js and PHP, ensuring responsive designs and robust database integrations. Collaborated with the team to enhance data handling and user experience.

Education

Degrees, certifications, and relevant coursework

BRAC University logoBU

BRAC University

Bachelor of Science, Computer Science

2018 - 2022

Grade: 3.47

Activities and societies: Vice Chancellor’s List (Top 2% of department), Summer 2020; Dean’s List (Top 5% of department), Spring 2019.

Completed a Bachelor of Science in Computer Science with a focus on machine learning and neural networks. My undergraduate thesis involved predicting brain age from EEG signals using machine learning techniques.

MC

Motijheel Ideal School & College

Higher Secondary Certificate, Science

2014 - 2016

Grade: 5.00

Achieved Higher Secondary Certificate with a GPA of 5.00, demonstrating strong academic performance in the science stream.

MC

Motijheel Model School & College

Secondary School Certificate, Science

2012 - 2014

Grade: 5.00

Activities and societies: Awarded Talentpool Scholarship.

Completed Secondary School Certificate with a GPA of 5.00, ranking 2nd in Dhaka Division and awarded the Talentpool Scholarship.

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