Karim Daouk
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Karim Daouk Email & Phone Number

Software Engineer - Analytics Intelligence at Google
Location: New York, United States 10 work roles 2 schools
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Current company
Role
Software Engineer - Analytics Intelligence
Location
New York, United States
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Karim Daouk is listed as Software Engineer - Analytics Intelligence at Google, a with 315106 employees, based in New York, United States. AeroLeads shows a matched LinkedIn profile for Karim Daouk.

Karim Daouk previously worked as AI Scientist Intern at Kla and Software Engineer Intern at Pietra. Karim Daouk holds Candidate For Bachelor'S Of Science Degree, Computer Science, 3.9 from Columbia University.

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Profile bio

About Karim Daouk

Third year student at Columbia University. I am passionate about various applications of Machine Learning, including Natural Language Processing, Generative AI, and Deep Learning. I have working experience in each of these areas, building impactful projects from start to finish.

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Google
Google
Software Engineer - Analytics Intelligence
Sunnyvale, CA, US
Website
Employees
315106
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10 roles · 6 years

Karim Daouk work experience

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Software Engineer - Analytics Intelligence

Sunnyvale, Ca, Us

Ai Scientist Intern

Kla

New York, Ny, Us

Software Engineer Intern

Current

New York, United States

- Created universal scraping algorithm to find products sold online- Utilized generative AI to identify relevant products and match brand owners with stores offering similar items- Created a virtual try-on API, allowing shoppers to generate a picture of themselves wearing a piece of clothing

Sep 2024 - Present

Lead Ai Developer

Current

- Led team in developing an in-production generative AI assistant designed to enhance customers' sales analysis and streamline data presentation- Developed comprehensive training dataset of unique question-SQL pairs, ensuring precise data retrieval- Implemented user validation system for AI responses, improving training data quality and user trust- Directed the creation of a set of Django functions to optimize AI performance for increased speed and cost efficiency- Leveraged OpenAI functions API to dynamically call Django functions during conversations, enabling more advanced functionality and generating actionable insights for users

May 2024 - Present

Lead Ai Engineer

Current

New York, United States

- Recruited and managed the involvement of incoming lab members- Developed 'Course Assistant' application using OpenAI API to answer student questions, create quizzes, and generate lecture schedules using instructor-provided course material- Built ‘Advising Assistant’ chatbot utilizing RAG to answer advising questions from an existing FAQ document- Created 'Find the Expert' Flask web application using web scraping and NLP techniques to recommend faculty based on user-inputted research interests- Deployed applications to Google Cloud Platform, and configured NGINX as a reverse proxy to ensure accessible, reliable, and secure performance

Jan 2024 - Present

Software Engineer - Ai/Ml

- Led an intern team in the end-to-end development of an in-production visual propaganda detection feature- Leveraged the BERT transformer neural network to extract entity tokens from articles and developed an algorithm to rank entities based on their importance within an article- Integrated generative AI, entity extraction, custom search algorithms, and open-source mapping tools to geographically map the source and target locations of recently published articles- Contributed to the integration of the project with the website as a standalone feature for narrative visualization

Feb 2023 - May 2024

Research Intern, Department Of Molecular Physiology

Nashville, Tennessee, United States

- Used PyTorch and TensorFlow to train and implement a deep learning model built on experimental data- This model was used to predict values critical to protein structure and function- Learned the uses and limitations of feed-forward neural networks, gained exposure to transformer neural networks- Presented model to lab members; used findings to increase success rate of future experiments

Jun 2022 - Aug 2022

Sales Associate, Customer Service

Nashville, Tennessee, United States

- Day-to-day operations including order management, customer relations, and event coordination- Product development and selection

2021 - 2022 ~1 yr

Research Intern, Department Of Civil Engineering

Nashville, Tennessee, United States

- Analyzed disaster mitigation spending with R- Utilized data visualization tools to study federal spending in the the aftermath of Hurricane Harvey- Findings were used to evaluate the efficacy of federal disaster mitigation projects

Jun 2020 - Aug 2020

Research Intern, Department Of Civil Engineering

Nashville, Tennessee, United States

- Collected and analyzed data regarding emergency response to Hurricane Maria using Python- Synthesized geographical data in ArcGIS which was analyzed in comparison to federal reports- Discovered a correlation between critical facility proximity and energy recovery

Jun 2018 - Aug 2018
2 education records

Karim Daouk education

FAQ

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What company does Karim Daouk work for?

Karim Daouk works for Google.

What is Karim Daouk's role at Google?

Karim Daouk is listed as Software Engineer - Analytics Intelligence at Google.

Where is Karim Daouk based?

Karim Daouk is based in New York, United States while working with Google.

What companies has Karim Daouk worked for?

Karim Daouk has worked for Google, Kla, Pietra, Uniply, and Columbia University Department Of Computer Science.

How can I contact Karim Daouk?

You can use AeroLeads to view verified contact signals for Karim Daouk at Google, including work email, phone, and LinkedIn data when available.

What schools did Karim Daouk attend?

Karim Daouk holds Candidate For Bachelor'S Of Science Degree, Computer Science, 3.9 from Columbia University.

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