Summary

I am a Machine Learning Engineer/ Data Scientist, who is passionate about supporting companies and customers that want to leverage AI/ML to enlighten peoples’ lives using on-premise infrastructure or public cloud services. I have been successful in my roles since I am curious to work backwards with problems and communicate ideas, suggestions, and best practices clearly and in a timely manner. The uniqueness about me and my characteristics is that I practice emotional intelligence at work in addition to my combined strength coming from both academia and industry.

Programming Languages:

Python / SQL / Java / GitHub and Bitbucket as version control

Cloud (AWS):

Sage Maker / Personalize / Translate / Transcribe / Comprehend / Forecast / DynamoDB / Redshift / Glue / Athena / S3 / Lambda / Step Function / Quick sight / Code commit CI/CD.

NLP Skills:

ChatGPT API / Information Retrieval / Search/Ranking / Summarization / Keyword Extraction / Topic Modeling / Concept Mining / NLG

Machine Learning Skills:

Naive Bayes / Decision Tree / XG Boost / Gradient Boost / Random Forest / SVM / KNN / K-means / CRF / Alternating Least Square (ALS) / Frequent-Pattern Mining / Association Rule Mining / LSTM / CNN / RNN / Word2Vec / Doc2Vec / Fast Text / BERT-based models.

Selected Libraries:

PyTorch / Keras / TensorFlow / Gensim / Pandas / Scikit-Learn / PySpark / SparkML / Seaborn / NumPy / SciPy / NLTK / Spacy / TextBlob / OpenNLP / Matplotlib / Crème / Python Language Tools / DBPedia Spotlight / Core NLP / Open C / HuggingFace.

Database:

MySQL / Postgres / NoSQL.

Textbook

• Java Data Science Cookbook
• Udemy Course based on the book

Science Fictions

• Ebaiza Machine (ইবাইজা মেশিন), Somoy Prokashon, 2021
• Phoenix Protocol (ফিনিক্স প্রটোকল), Somoy Prokashon, 2022
• Dhongshojatra (ধ্বংসযাত্রা), Somoy Prokashon, 2023

Digital Presence

LinkedIn

Google Scholar

YouTube Channel

Github

Goodreads Author

Work Experience

• Senior Machine Learning Engineer, DistillerSR, Canada (07/2023 to Present)
• Data Scientist II, Amazon Web Services (AWS), Canada (10/2021 to 06/2023)
• Senior Machine Learning Engineer at OneClass, Canada (09/2017 to 05/2021)
• Digital Innovation Specialist at Sustainalytics, Canada (03/2015 to 06/2017)
• Text Analytics Researcher at Western University, Canada (09/2014 to 03/2015)
• RA and TA at Western University, Canada (09/2010 to 08/2014)
• Assistant Professor at KUET, Bangladesh (03/2008 to 08/2013)

Teaching Materials

If you would like to use my teaching materials to learn, feel free to use them. If you would like to use them to teach or take a few items from them, you need to acknowledge my effort in your class and please email me so that I know that they are drawing attentions.

Machine Learning / Technology Tutorials

• Learn with Rushdi

BSc Courses

• Software Engineering Theory.
• Information Security Theory.
• Programming Theory.
• Programming Lab.
• Database Theory.
• Database Lab.
• AI Theory.
• AI Lab.

MSc courses

• Advanced Networking Theory.
• Machine Translation Theory.

Publications

Peer-reviewed Conferences

2015

-15- Rushdi Shams and Robert E. Mercer, “Summary Sentence Classification using Stylometry”, 14th IEEE International Conference on Machine Learning Applications (ICMLA2013), Florida, USA, December 9-11, 2015.

2013

-14- Rushdi Shams and Robert E. Mercer, “Classifying Spam Emails with Text and Readability Features”, IEEE International Conference on Data Mining (ICDM2013), Texas, USA, December 7-10, 2013.

-13- Rushdi Shams and Robert E. Mercer, “Personalized Spam Filtering using Natural-Language Attributes”, 12th IEEE International Conference on Machine Learning Applications (ICMLA2013), Florida, USA, December 4-7, 2013.

-12- Rushdi Shams, “Extracting Information-rich Part of Texts using Text Denoising”, 26th Canadian Conference on Artificial Intelligence (CAI-2013), Regina, Canada, May 28, 2013.

2012

-11- Rushdi Shams and Robert E. Mercer, “Evaluating Core Measures of Text Denoising for Biomedical Relation Mining”, 3rd International Workshop on Global Collaboration of Information Schools (WIS 2012), Taipei, Taiwan, November 15, 2012.

-10- Rushdi Shams and Robert E. Mercer, “Improving Supervised Keyphrase Indexer Classification of Keyphrases with Text Denoising”, 14th International Conference on Asia-Pacific Digital Libraries (ICADL 2012), Taipei, Taiwan, November 12-15, 2012.

-9- Rushdi Shams and Robert E. Mercer, “Investigating Keyphrase Indexing with Text Denoising”, 12th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2012), Washington DC, USA, June 10-14, 2012.

2011

-8- Rushdi Shams and Robert E. Mercer, “Extracting Connected Concepts from Biomedical Texts using Fog Index”, 12th Conference of the Pacific Association for Computational Linguistics (PACLING 2011), Kuala Lumpur, Malaysia, July 19-21, 2011.

-7- Rushdi Shams, M.S.A. Shahnawaz Chowdhury, and S.M. Abu Saleh Shawon, “Domain-specific Textual Commonsense Concept Acquisition using a Corpus”, 1st IEEE International Conference on Communications, Computing and Control Applications (CCCA’11), Hammamet, Tunisia, March 3-5, 2011. (IEEE Catalog Number: CFP1154M-ART, ISBN: 978-1-4244-9796-6)

Before 2011

-6- Md. Amirul Islam, Rushdi Shams, and Md. Zahirul Islam, “Minimization of Overlapping Coverage in Wireless Sensor Networks with Area-aware Coverage”, 3rd IEEE International Conference on Computer and Communication Engineering (ICCCE’10), Kuala Lumpur, Malaysia, May 11-12, 2010, pp. 158-163. (IEEE Catalog Number: CFP1039D-ART, ISBN: 978-1-4244-6235-3) -5- Rushdi Shams, M.M.A. Hashem, Afrina Hossain, Suraiya Rumana Akter, and Monika Gope, “Corpus-based Text Summarization using Statistical and Linguistic Methods”, 3rd IEEE International Conference on Computer and Communication Engineering (ICCCE’10), Kuala Lumpur, Malaysia, May 11-12, 2010, pp. 115-120. (IEEE Catalog Number: CFP1039D-ART, ISBN: 978-1-4244-6235-3)

-4- M.M.A. Hashem, Rushdi Shams, Md. Abdul Kader, and Abu Sayed, “Design and Development of Heart Rate Monitor using Fingertips”, 3rd IEEE International Conference on Computer and Communication Engineering (ICCCE’10), Kuala Lumpur, Malaysia, May 11-12, 2010, pp. 197-201. (IEEE Catalog Number: CFP1039D-ART, ISBN: 978-1-4244-6235-3)

-3- Rushdi Shams and Adel Elsayed, “A Corpus-based Evaluation of Lexical Components of a Domain-specific Text to Knowledge Mapping Prototype”, 2008 IEEE 11th International Conference on Computer and Information Technology (ICCIT 2008), 2008, Khulna, Bangladesh, pp. 242-247. (IEEE Catalog Number: CFP0817D, ISBN: 978-1-4244-2136-7, Library of Congress: 2008900703)

-2- Rushdi Shams and Adel Elsayed, “Development of A Conceptual Structure for a Domain-specific Corpus”, 3rd International Conference on Concept Maps (CMC2008), 2008, Estonia and Finland.

-1- Isnain Siddique, Rushdi Shams, and M.M.A. Hashem, “Performance Enhancement of Ad Hoc Networks with Janitor Based Routing”, 1st IEEE International Conference on Computer and Communication Engineering (ICCCE’06), Kuala Lumpur, Malaysia, May 9-11, 2006, vol. 1, pp. 368-373.

Journals

-4- Rushdi Shams, “Developing Machine Learning Products Better and Faster at Startups,” in IEEE Engineering Management Review, vol. 46, no. 3, pp. 36-39, Sept. 2018. (doi: 10.1109/EMR.2018.2870669)

-3- Rushdi Shams and Robert E. Mercer, “Supervised Classification of Spam Emails with Natural Language Stylometry”, Neural Computing and Application (NCAA), vol. 27, no. 8, Springer, 2016.

-2- Rushdi Shams, M.S.A. Shahnawaz Chowdhury, and S.M. Abu Saleh Shawon, “SenCept: A Domain-specific Textual Commonsense Concept Acquisition System”, International Journal of Computer and Information Technology (IJCIT), Vol. 1, No. 2, ISSN 2279 – 0764, 2012.

-1- Rushdi Shams, Adel Elsayed, and Quazi Mah-Zereen Akter, “A Corpus-based Evaluation of a Domain-specific Text to Knowledge Mapping Prototype”, Journal of Computers, Academy Publisher, Vol. 5, No. 1, ISSN 1796-203X, 2010.

Contact

shamsrushdi<​at>gmail<​dot>com four-one-six-eight-nine-nine-seven-three-three-seven