Saad Ahmad work email
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Saad Ahmad personal email
I am a MS Computer Science student at Simon Fraser University with research focused in speeding up data science tools. I am actively looking for full-time software engineer and data scientist roles with starting dates in May 2023 or later. I have designed server less data science applications using Django and AWS services Elastic Beanstalk, S3, Lambda, and EC2. Through my college coursework and research projects, I am proficient in computational statistical analyses with supervised and unsupervised machine learning algorithms in both R and Python.Technical Skills:- Languages: Python, R, Java, JavaScript.- Frameworks & Tools: Django, Dash, Linux, Git, AWS Lambda, AWS S3, AWS Elastic Bean Stalk, AWS EC2, Azure DevOps.- AI/ML: TensorFlow, PyTorch, NLP, Python ML Libraries-NumPy, Pandas, Scikit-Learn- Interests: Data science, Full-stack development, AI/ML, DevOps.
Amazon
View- Website:
- amazon.com
- Employees:
- 734811
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Software Development Engineer IiAmazonVancouver, Bc, Ca
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Software Development Engineer IiAmazon Web Services (Aws) Oct 2024 - PresentVancouver, British Columbia, CanadaAWS Continuous Deployment - Release Engine Team -
Software Development EngineerAmazon Web Services (Aws) May 2023 - Oct 2024Vancouver, British Columbia, CanadaAWS Continuous Deployment - Release Toil Automation Team• Implement micro-service to execute EC2 load balancer registration for EC2 capacity within internal deployment system• Implement scalable asynchronous state machine workflows in Java to run load balancer registration workflows• Implement deployment metrics monitoring feature in Smart Rollbacks to detect and automatically rollback faulty deployments• Execute data collection and cleaning tasks for machine learning model design and training using Python and Redshift cluster• Lead the initiative to enhance the pipeline safety enforcement tool, enabling it to identify new pipeline stage targets in auditsAWS Continuous Deployment - Release Engine Team
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Graduate Teaching AssistantSimon Fraser University Jan 2022 - Dec 2023Burnaby, British Columbia, CanadaCMPT 733, CMPT 353, CMPT 276 -
Graduate ResearcherSimon Fraser University Sep 2021 - Dec 2023Burnaby, British Columbia, Canada• Research on building user-friendly graph data exploratory analysis tools to support industry-based data profiling tasks• Explore industry use-cases, performance limitations, and accessibility of existing graph data analysis tools
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Community AdvisorSimon Fraser University Jan 2022 - Aug 2023Burnaby, British Columbia, Canada-Responsible for assisting with any residential and academic issues, in addition to actively promoting a safe and productive environment in the residence hall.-Contribute to enforcing residential department policies in the residence hall.-Collaborate and communicate with fellow staff members to build a socially inclusive hall community.
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Software Development Engineer InternAmazon Web Services (Aws) May 2022 - Aug 2022Vancouver, British Columbia, CanadaAWS Apollo Data Plane Team• Developed features to deprecate legacy infrastructure caches for Apollo deployment tool with OOP and unit testing in GoLang • Implemented client-side rate limiter to enable throttling for development center networks with bandwidth constraints• Implemented client-side CPU limiter using concurrent programming with Go routines, channels, and threads in GoLang• Modified front-end of Apollo website using React and redesigned 4 Java APIs to set throttling limits for Apollo client• Improved code quality of existing Golang and Java code bases by employing software engineering best practices and increasing test coverage for modules
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Data Scientist InternQuidelortho May 2021 - Aug 2021Rochester, New York, United States• Developed an internal web application YAAT for three R&D teams using Django and Dash to automate and accelerate the report generation process for precision analysis of blood screening diagnostics methods using time-series datasets• Engineered a full data processing pipeline from data engineering to covariance analysis of datasets with R and Python• Implemented custom runtime R layer for AWS Lambda for 50% faster cloud computation of variance components• Integrated AWS S3 and Lambda functions to store and process large experimental datasets to enhance application scalability -
Peer AdvisorUniversity Of Rochester Aug 2020 - May 2021Rochester, New York, United States• Nominated by the Computer Science department to provide academic counseling to undergraduate students• Assisted students in navigating through their academic careers by connecting them to on-campus resources• Consultant for resumes, cover letters, and networking sources to students applying for internships• Hosted undergraduate research advising discussions to facilitate students in obtaining research positions -
Peer TutorUniversity Of Rochester Aug 2019 - May 2021Rochester, New York, United StatesTaught both introductory and upper-level computer science and mathematics courses in one-on-one tutoring sessions. I was motivated to inspire my tutees through passionate teaching of my favourite courses, and assist them in finding their true academic passion.
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Resident AdvisorUniversity Of Rochester May 2019 - May 2021Rochester, New York, United States-Responsible for assisting with any residential and academic issues, in addition to actively promoting a safe and productive environment in the residence hall.-Contribute to enforcing residential department policies in the residence hall.-Collaborate and communicate with fellow staff members to build a socially inclusive hall community.
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Undergraduate Teaching AssistantUniversity Of Rochester Aug 2018 - May 2021Rochester, Ny, United States• CSC 171: Object-Oriented Programming (Java) with Professor Ted Pawlicki• CSC 173: Computation and Formal Systems (C) with Professor George Ferguson• CSC 246: Machine Learning (Python) with Professor Adam Purtee• CSC 262: Computational Introduction to Statistics (R) with Professor Joseph Ciminelli• CSC 265: Intermediate Computational Statistics (R) with Professor Yusuf Bilgic• CSC 280: Computer Models and Limitations with Professor Eustrat Zhupa• MATH 161: Calculus 1 with Professor Mark Herman• MATH 162: Calculus 2 with Professor Kalyani Madhu
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Undergraduate Research AssistantUniversity Of Rochester Jan 2020 - Mar 2021Rochester, New York, United States• Collaborated with a Ph.D. student to design SmileyCluster: an interactive learning system for K-12 students with AI support• Engineered datasets of 100K+ records by scraping and preprocessing unstructured web data using BeautifulSoup and Pandas in Python to design interactive learning activities for the SmileyCluster system through data mining• Identified UI design improvements by building a path analysis model in R to analyze users’ interactions with the system using log data from AWS CloudWatch to set goals for future research studies and system design• Researched and implemented new K-12 learning activities based on exploratory research on multidimensional large datasets using unsupervised models K-means, K-NN, SVM, and Random Forest for scientific knowledge discovery
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Marketing Consultant InternViasat Inc. Aug 2020 - Dec 2020Rochester, New York, United States• Collaborated with 4 undergraduate students to devise a marketing plan for ViaSat browser to achieve market expansion• Led a team of 4 undergraduate students by coordinating project tasks and communicating client expectations • Explored applications of growth hacking and gorilla marketing strategies by consulting successful start-ups and companies• Surveyed 200 browser users and analyzed response data using pivot tables, conditional queries, and data visualizations in Excel to identify key factors behind users’ choices of their browsers• Identified 4 core target market segments by surveying existing ViaSat customers to gain insights on their browser usage -
Machine Learning Engineer InternStem-Away May 2020 - Sep 2020• Collaborated with 4 engineers to build StemAway website recommender system by addressing the multiclass classification problem of auto-tagging the StemAway forum posts with informative labels.• Conducted independent research on Natural Language processing BERT and TF-IDF models applications for multiclass classification on text data.• Designed and trained deep learning model to predict tags using StemAway forum posts data.• Improved model prediction accuracy by 20% by scrapping 50,000+ tagged posts using BeautifulSoup and NumPy from StackExchange forum and retraining the prediction model on structured and fully tagged text data.• Achieved 85% prediction accuracy in multiclass labeling of forum posts with BERT and TF-IDF deep learning models implemented using Scikit, TensorFlow, Keras, and NLTK libraries in Python.
Saad Ahmad Skills
Saad Ahmad Education Details
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Computer Science
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3.91/4.0
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3.91/4.0
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Pre-Medicine/Pre-Medical Studies -
Pre-Engineering
Frequently Asked Questions about Saad Ahmad
What company does Saad Ahmad work for?
Saad Ahmad works for Amazon
What is Saad Ahmad's role at the current company?
Saad Ahmad's current role is Software Development Engineer II.
What is Saad Ahmad's email address?
Saad Ahmad's email address is sa****@****ter.edu
What schools did Saad Ahmad attend?
Saad Ahmad attended Simon Fraser University, University Of Rochester, University Of Rochester, Beaconhouse, Beaconhouse.
What skills is Saad Ahmad known for?
Saad Ahmad has skills like C (Programming Language, Java, Python, Web Content Writing, Marketing Strategy, Programming, Teaching, Core Java, C, Software Development, R, Community Building.
Who are Saad Ahmad's colleagues?
Saad Ahmad's colleagues are Mahmoud Momani, Liz Westmeyer, Adriana Rush, E. Andrade Souza, Monu Jaiswar, Ashish Suman, Cameron Thornton.
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