Habibur Rahman
I currently serve as a Machine Learning Developer at Awele Technologies Inc. Before joining Awele, I earned my Master's degree in Computer Science from the University of Alberta, where I had the privilege of working alongside Dr. Levi Lelis. My professional journey includes roles as a Software Engineer at Samsung R&D Institute Bangladesh Limited (SRBD) in Dhaka, a Lecturer in the Department of Computer Science and Engineering at the University of Information Technology and Sciences (UITS), and a Programming Contest Mentor for the UITS Computer Club. I proudly hold a Bachelor's degree in Computer Science and Engineering, which I obtained in 2017 from Rajshahi
University of Engineering and Technology (RUET) in Rajshahi, Bangladesh.
My research passion centers around Program Synthesis and Machine Learning.
My research passion centers around Program Synthesis and Machine Learning.
Notice I am always open to work as a
Machine Learning Engineer or Data
Scientist.
Recent
Feb 2024 Published a Cheatsheet on "C++ STL" for technical interviews.
Sep 2023 Defended my MSc thesis titled "Two Irons in the Fire: Synthesizing Libraries of Programs by Optimizing an Auxiliary Function while Solving Problems".
May 2023 Commenced Fulltime role as a Machine Learning Developer
with Awele Technologies Inc.
Jul 2023 Attended the Deep Learning + Reinforcement Learning Summer School 2023.
Feb 2023 Commenced internship as a Machine Learning Developer
with Awele Technologies Inc.
Jan 2023 Paper "FineDeb: A Debiasing Framework for
Language Models" accepted for the Workshop on Artificial Intelligence for Social Good (AI4SG)
at the 2023 AAAI Conference on Artificial Intelligence (AAAI-23).
Mar 2022 4th place at advanced category in University of
Alberta Programming
Contest (UAPC).
Sep 2021 6th place among 69 participants at A
Perfect Fit:
HackerEarth ML Challenge.
Experiences
Machine Learning Developer May
2023 -- Present
Awele Technologies Inc. Edmonton,
Alberta, Canada
- Developed a recommendation-based algorithm to predict the best possible shipping routes with the highest customer satisfaction, improving route accuracy by 50% and reducing shipping costs by optimizing cost, service time and carrier ratings.
- Implemented core quotes API in NodeJS to CRUD databases and generate shipping options. Worked on the ReactJS frontend for presenting the quotes in a user-friendly format.
- Created the ML API on Django and deployed it on Heroku, ensuring high availability and scalability.
- Language: Python, JavaScript Tool/Tech: PyTorch, Heroku, Django, ReactJS, NodeJS, Scrum
Machine Learning Developer (Internship) February
2023 -- April 2023
Awele Technologies Inc. Edmonton,
Alberta, Canada
- Modelling, simulating and implementing route optimization using a decision tree algorithm for cross-border shipping.
Graduate Research Assistant FellowMay
2021 -- Present
Alberta Machine Intelligence Institute | University of
AlbertaEdmonton, Alberta, Canada
- Introduced a novel variant of the simulated annealing algorithm for addressing program synthesis tasks that leverage a Graph Neural Network (GNN) for sampling a node from the Abstract Syntax Tree (AST), which is then mutated to generate a new program.
Graduate Teaching AssistantWinter
2021
and Fall 2021
Course:
CMPUT 201
University of
AlbertaEdmonton, Alberta, Canada
- Led an undergrad lab section for the Practical Programming Methodology course by preparing lab marking scripts, evaluating submissions, and helping students solve exercise problems
Software EngineerJuly 2019 -
Dec
2020
Windows Team
Samsung R&D Institute (SRBD)Dhaka, Bangladesh
- Developed an internal automation tool to convert the Android localization strings for the Windows platform that reduced the string processing time from 120 minutes to 120 seconds
- Developed the new tag feature for Samsung Notes V3.X and up from concept
LecturerJanurary 2018 - June
2019
Department of Computer Science and
Engineering
University of Information Technology and Sciences
(UITS)Dhaka, Bangladesh
- Redesigned the courses by including programming problems to improve their problem-solving skills
Programming Contest MentorJanurary
2018 - June 2019
UITS Computer Club
University of Information Technology and Sciences
(UITS)Dhaka,
Bangladesh
- Prepared the university teams to attend national and international level programming contests conducting sessions and hosting programming contests.
Projects
Synthesizing Libraries of Programs by Optimizing an Auxiliary Function
Dec 2021 -- Present
- Implemented a novel approach to augmenting DSL to generate high - quality programs to ensure efficient computation time and minimize memory consumption.
- Implemented a novel approach of guiding bottom - up search to synthesize code for revese drawing.
Debiasing Multiclass Demographics in Language ModelsSep 2021 -- Dec 2021
- Implemented a new regularizer to debias multiclass demographics in language models which reduced the biases by 3% for several individual classes within a demographic.
- Contributed a word list for 4 demographics where each of the single demographics consists of 6 classes to evaluate the fairness of language models.
How is Testing Related to Single Statement Bugs?
Jan 2021 -- Apr 2021
- Predicted a weak to moderate correlation (r-value 0.40) between test coverage and single statement bugs by evaluating 25 open-source maven based java projects.
- Suggested adding more unit tests and increasing the test coverage to mitigate the single statement bugs by at least 10%.
Data Augmentation in NMT: A Case-study for English to Portuguese
TranslationJan 2021 -- Apr
2021
- Developed a new method for data augmentation in translation tasks by evaluating its performance on Recurrent Neural Network with LSTM and Transformer.
Java Repo Miner2018
- Developed a tool to detect java method signature after and before a commit and to make a report of changing frequencies of Methods, Classes, Libraries, and Loops in a git repository
Publications
- Akash Saravanan*, Dhruv Mullick*, Habibur Rahman* and Nidhi Hegde. FineDeb: A Debiasing Framework for Language Models.In: Workshop on Artificial Intelligence for Social Good (AI4SG) at the 2023 AAAI Conference on Artificial Intelligence (AAAI-23)February, 2023
- Habibur Rahman. Generating Low Cost Heuristic Functions for Grid Pathfinding using Program Synthesis. In: Hidden Methods Conference, 27th April, 2022. https://hiddenmethods.ca April, 2022
- Habibur Rahman, Julia Rahman, Asmaul Husna. "WALGES: Weighted Probability Based Scoring Approach for Solving Algebraic Word Problems using Semantic Parsing". In: IEEE International Conference on Electrical, Computer and Communication Engineering (ECCE), 7--9 February, 2019.February, 2019
- Asmaul Husna, Habibur Rahman, Emrana Kabir Hashi. "Statistical Approach for Classifying Sentiment Reviews by Reducing Dimension using Truncated Singular Value Decomposition". In: IEEE International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT-2019).February, 2019
Technical Skills
- Skills & Tools: Problem Solving, Data Structure & Algorithm Design, OOP, CI/CD, Git, Scrum, Jira, Jupyter, Cluster, Linux
- Languages: C/C++ , Python, R, C#, Java, HTML, CSS, PHP, Bash, SQL
- Libraries: Numpy, Scikitlearn, Matplotlib, Pandas, TensorFlow, PyTorch, UWP, BootStrap, Tableau