# Sk Sami Al Jabar

> Software Engineer | Web & AI | BSc and MASc in Computer Science, Engineering

Location: New York, New York, United States
Profile: https://flows.cv/sk

👨‍💻 Working as Software Developer II at Communify Fincentric, NYC, USA.

👨‍🎓 Completed MASc. in Electrical and Computer Engineering from Ontario Tech University (UOIT), Canada and made 3 research publications based out of topics like Natural Language Processing, Knowledge Base System, Computer Vision, Neural Network, Semantic Network, Ontology.

👨‍🔬 Worked for 2 years at Ontario Tech University (Canada) as Graduate Research Assistant, while I was pursuing my Masters degree Published 2 papers on my research project which was for OPG, Canada (One of the biggest producer of electricity in Ontario and they use Nuclear Reaction).  My research project involves development of a unique knowledge base which captures human expertise from PDF, human Voice or text and acts like a Q/A officer. This helps to train the new employees at OPG to do complex operations with more confidence. After that, I published another paper with my Co-Supervisor which was a Review paper on Computer Vision in Autonomous vehicle.

👨‍🏫 Worked for 2 years at Ontario Tech University (Canada) as Teaching Assistant, while I was pursuing my Masters degree. I had to teach Computer Science courses and Maths to undergraduate students.

🧑‍🎓 Completed BSc. in Computer Science and Engineering from American International University Bangladesh.

## Work Experience
### Software Developer II @ Communify Fincentric
Jan 2022 – Present | Colorado, United States

### Teaching Assistant @ Ontario Tech University
Jan 2020 – Jan 2021 | Oshawa, Ontario, Canada.
Teaching Undergraduate students different topics of Computer Science such as UML Design, Object Oriented Programming and also Math.

### Graduate Research Assistant @ Ontario Tech University
Jan 2020 – Jan 2021 | Oshawa, Ontario, Canada.
Research on learning from texts. My final thesis describes a new technique and algorithm for learning from Instructive Text. Part of the work has been implemented to develop a system called Intelligent Experience Retention System (IERS) for Ontario Power Generation (OPG) in Canada.
The system IERS learns from instructive text found in document or can be trained with voice as well. Once learned, queries related to documents are asked using voice and the system replies back with related information. The system also has the ability to auto-classify new words or terms found in the document based on the existing words or terms. This is done using Word Embedding techniques and Neural Network.
Technology Used: Vue JS, Node JS, Express JS, Flask (Python), MySQL.
Paper Link: https://www.mdpi.com/2076-3417/11/17/8072


## Education
### Master of Applied Science in Electrical and Computer Engineering
Ontario Tech University

### Bachelor's degree in Computer Science and Engineering
American International University-Bangladesh

### Higher Secondary Certificate in Science
Notre Dame College

### Secondary School Certificate in Science
Foundation School


## Contact & Social
- LinkedIn: https://linkedin.com/in/samialjabar
- Portfolio: http://www.sksami.com/

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Source: https://flows.cv/sk
JSON Resume: https://flows.cv/sk/resume.json
Last updated: 2026-04-13