Sameer Mohamed
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Sameer Mohamed Email & Phone Number

Deep Learning Architect at Amazon
Location: Washington, District of Columbia, United States 9 work roles 2 schools
1 work email found @merck.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email s****@merck.com
LinkedIn Profile matched
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Current company
Role
Deep Learning Architect
Location
Washington, District of Columbia, United States
Company size

Who is Sameer Mohamed? Overview

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Quick answer

Sameer Mohamed is listed as Deep Learning Architect at Amazon, a with 734811 employees, based in Washington, District of Columbia, United States. AeroLeads shows a work email signal at merck.com and a matched LinkedIn profile for Sameer Mohamed.

Sameer Mohamed previously worked as Software Engineer at Merck and Machine Learning Engineer at Merck. Sameer Mohamed holds Master'S Degree, Computer Science from Georgia Institute Of Technology.

Company email context

Email format at Amazon

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{first}.{last}@merck.com
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AeroLeads found 1 current-domain work email signal for Sameer Mohamed. Compare company email patterns before reaching out.

Profile bio

About Sameer Mohamed

Deep Learning Architect working on ML and AI systems, operations, and applications at AWS.

Current workplace

Sameer Mohamed's current company

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Amazon
Amazon
Deep Learning Architect
Washington, DC, US
Website
Employees
734811
AeroLeads page
9 roles

Sameer Mohamed work experience

A career timeline built from the work history available for this profile.

Deep Learning Architect

Washington, Dc, Us

Software Engineer

Washington, Dc, Us

Deep Learning Architect

Seattle, Wa, Us

Machine Learning Engineer

Merck

• Developed and expanded LLM-based application with a RAG system and LangChain to produce a custom chatbot solution• Fine tuned foundational embeddings models on scientific corpus to improve vector representation of domain specific vocabulary with PyTorch• Engineered a recommendation-and-search engine, machine learning models, enterprise data pipelines, RESTful backends, and analytics dashboards for 4 applications with over 1500 total daily active users using Agile methods • Developed and implemented a semantic search and recommendation system using Elasticsearch for an internal Q&A platform while ensuring privacy compliance for 600,000 questions/answers across 500 stakeholders using Elasticsearch and feature engineering • Experimented and tested different machine learning models to identify best models to incorporate into search and recommendation system • Acted as a communication liaison between cross functional teams with diverse technical subject matter experts and non-technical management to facilitate collaboration and streamline development processes • Implemented and iterated on machine learning models to contribute to research as the field evolves by staying up to date with latest machine learning papers • Created and deployed ETL pipelines to cloud using Pandas for transformation, Docker for containerization, and AWS EC2 for deployment • Technical owner of mentorship matching application, collaborated with stakeholders to lead team, manage expectations, and develop pipelines with backend API in Flask • Onboarded and trained 2 engineers on development environment, Agile, and Bitbucket

Nov 2021 - Sep 2024

Data Science Intern

Indianapolis, Indiana, Us

• Designed a data-driven dashboard that expedited drug manufacturing processes by using Pythonand SQL for data analysis and regression modeling

Jun 2020 - Aug 2020

Undergraduate Research Assistant

Austin, Tx, Us

• Programmed machine learning models analyzing and visualizing 3,900,000 data points across 6,400 files in Python using SciPy, NumPy, Pandas, Matplotlib, Scikit-Learn and other data analysis packages in Linux (CentOS and Ubuntu) environment • Modified data in PostgreSQL RDBMS and learned database schema, tools, and concepts• Tested, trained and implemented diverse regression and classification algorithms• Trained 3 new analysts on data analysis in Python and SQL by teaching use of different libraries, running existing software using Bash scripts in Linux environments, and lab-based software developmen

Apr 2019 - Aug 2020

Documentation Intern

Quality Power Llc.
Jun 2018 - Jun 2020
Team & coworkers

Colleagues at Amazon

Other employees you can reach at amazon.com. View company contacts for 734811 employees →

2 education records

Sameer Mohamed education

Master'S Degree, Computer Science

Georgia Institute Of Technology

Bachelor'S Degree, Computational Biomedical/Medical Engineering

Cockrell School Of Engineering, The University Of Texas At Austin
FAQ

Frequently asked questions about Sameer Mohamed

Quick answers generated from the profile data available on this page.

What company does Sameer Mohamed work for?

Sameer Mohamed works for Amazon.

What is Sameer Mohamed's role at Amazon?

Sameer Mohamed is listed as Deep Learning Architect at Amazon.

What is Sameer Mohamed's email address?

AeroLeads has found 1 work email signal at @merck.com for Sameer Mohamed at Amazon.

Where is Sameer Mohamed based?

Sameer Mohamed is based in Washington, District of Columbia, United States while working with Amazon.

What companies has Sameer Mohamed worked for?

Sameer Mohamed has worked for Amazon, Merck, Eli Lilly And Company, Cockrell School Of Engineering, The University Of Texas At Austin, and Quality Power Llc..

Who are Sameer Mohamed's colleagues at Amazon?

Sameer Mohamed's colleagues at Amazon include Mahboob Khan, Dhanyalakshmi Lakshmanan, Dario Gazzillo, Carlos Cano, and Simona Peiksteina.

How can I contact Sameer Mohamed?

You can use AeroLeads to view verified contact signals for Sameer Mohamed at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Sameer Mohamed attend?

Sameer Mohamed holds Master'S Degree, Computer Science from Georgia Institute Of Technology.

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