As a polyglot software engineer with a strong background in software development and machine learning, my experience includes firsthand work with C++, Go, Python, and TypeScript for over three years.
Currently, I am a machine learning engineer at Siemens EDA AI – creating next generation AI platform for Electronic Design Automation (EDA).
I can exit Vim. In addition to that, I am skilled in
Languages
Python,
C++,
Go,
JavaScript (ES6+),
TypeScript,
C#,
PHP
I use C++ as my primary language at Siemens. I have an extensive
experience in of teaching and researching using Python. I
have also worked more than two years as a software developer mostly using
JavaScript (ES6+) and TypeScript. Recently, I
led a team of four developers to build
festive.rocks — a low latency, high-performance
online event hosting platform. The backend of this platform is written in
Go.
Apart from that I worked in several projects using C# and
PHP both in academia and industry. I led a team for
developing the official website of the CSE
Department of Khulna University, Bangladesh that is mostly written in
PHP.
I strongly suggest checking my
LeetCode profile to glance
my coding skill.
Artificial Intelligence
Neural Networks,
Transformers,
Large Language Models,
Retrieval Augmented Generation,
Transfer Learning,
Ensemble Learning,
Unsupervised Learning,
Natural Language Processing
I have a deep dive into machine learning and deep learning during my research internship at Metabob. This internship is part of my Mitacs scholarship which aims to explain software bugs in natural language. The research domain includes software engineering, deep learning and natural language processing. I further sharpen my knowledge while teaching in the Process of Data Science course.
One of the early recognition of my Data Science skill is placing among the top 15 teams in Datathon Bangladesh, 2019 — the biggest data-centric competition in the country. I have several relevant certification from Coursera (see Certifications).
Web Technology
Node JS,
Vue JS,
React,
REST API,
Bootstrap,
CSS3,
Flask,
FastAPI
I have extensive work experience in Node JS, Express JS and Vue Js (check Experience section). In nearly all the projects I worked, I used RESTful API to communicate between client and server. I also worked in developing several mobile applications using React Native.
Alongside these most prominent technologies, I used Web Socket and WebRTC to make a video calling service. I also developed a novelvisualization tool using D3. During my job at Metabob and Siemens, I used Flask and FastAPI to deploy machine learning models.
Database
Mongo DB,
MySQL,
PostgreSQL,
Redis
During my job as a software engineer, MongoDB was the go-to database system. I also have used redis for caching in several projects. In my recent venture, festive.rocks, I used PostgreSQL as the database system. I have led a team to develop the official website of the CSE Department of Khulna University, Bangladesh, which uses MySQL as the database system.
Tools & Platform
Docker,
Google Cloud Platform,
Amazon Web Service,
Microsoft Azure,
Linux
As a software engineer, in several cases I orchestrated my own cloud services as well. I designed the development environment Daency based on Docker and Docker Compose. I have rewritten the subscription backend of Wonster Words iOS game using Microsoft Azure FaaS, Cosmos DB, and Queue Storage. I also taught GCP in the Intro to Software Developement course. I use git for 10 years now.
Developed a hybrid rerank
RAG
pipeline for searching relevant documents using both semantic and
keyword-based search (OpenSearch & Milvus).
Architected and jointly developed an Auth service that facilitates multiple
authentication backends (e.g., OAuth, LDAP) and multiple authorization
schemes (RBAC, ABAC).
Jointly architected and developed an on-premise LLM fine-tuning
platform based on PyTorch, transformers,
and PEFT libraries supporting several fine-tuning methods
(e.g., LoRA,
QLoRA) and task types (e.g.,
sequence classification, causal LM, question answering).
ElderBerry
Software Developer (Contract) December 2023 — January 2024
ElderBerry
Software Developer (Contract)
December 2023 — January 2024
For ElderBerry – a platform to connect
caregivers with the elderly, developed the payment gateway integration
with Stripe and Node.JS that reduced error
rates compared to the existing solution by 90%.
Metabob
Research Intern May 2022 — April 2023
Metabob
Research Intern
May 2022 — April 2023
Worked on a research project aiming to automatically explain software bugs in natural language using cutting-edge deep learning techniques. A recent developer survey shows that our developed tool can provide 43% more accurate and 40% concise explanations of bugs (see Publications).
Developed a web application backed by state-of-the-art language model to explain defective source code using Python, Flask, PyTorch, and Vue JS (see Demo).
NerdDevs
Software Engineer March 2019 — July 2021
NerdDevs
Software Engineer
March 2019 — July 2021
In Daency, an
online platform to learn dancing interactively:
Led the architecture and development where used
TypeScript, Express JS, Vue JS,
Mongo DB, and Docker as the tech stack.
Collaborated with the stakeholders to engineer requirements and plan
sprints in the agile process with a globally distributed team, while
reducing requirement changes during sprints from ≈ 30% to < 5%.
Contributed to several in-house React Native based mobile applications.
Hosted two in-house workshops on ‘Modern Web Development with Vue JS’ and ‘Sustainable Architecture with TypeScript’.
Festive.Rocks
Co-founder and Tech Lead January 2023 — Present
Festive.Rocks
Co-founder and Tech Lead
January 2023 — Present
Created a low latency, high-performance website to run on slow internet regions for the target market.
Seamlessly hosted
372 events
with great customer satisfaction.
Led a team of four developers to complete a fully featured web application within three months while maintaining very high code quality and more than 90% test coverage.
Dalhousie University
Teaching Assistant September 2021 — December 2022
Dalhousie University
Teaching Assistant
September 2021 — December 2022
Process of Data Science (graduate course): Providing hands-on learning experience in cutting-edge data science technologies (e.g., geospatial data) in labs, holding office hours to resolve difficulties for the students, and assisting the instructor during classes
Intro to Software Project: Taking classes on Docker and containerization, directly mentoring, and evaluating four groups in the agile process and maintaining their GCP instances
Software Development: Taking labs and helping the students in resolving issues regarding version controlling, test driven development, code smells, refactoring, and more
Publications
Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation
Parvez Mahbub, Ohiduzzaman Shuvo and M. Masudur Rahman, In Proceeding of The 45th IEEE/ACM International Conference on Software Engineering (ICSE), 2023, pp. 640–652, Melbourne, Australia, May 2023
Software Bug,Bug Explanation,Software Engineering,Software Maintenance,Natural Language Processing,Deep Learning,Transformers
Predicting Line-Level Defects by Capturing Code Contexts with Hierarchical Transformers
Parvez Mahbub and M. Masudur Rahman, In Proceeding of The 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2024, pp. 12, Rovaniemi, Finland, March 2024 (to appear)
Authorship Identification of Source Code Segments Written by Multiple Authors Using Stacking Ensemble Method
Parvez Mahbub, Naz Zarreen Oishie and S. M. Rafizul Haque, In Proceeding of the 22nd International Conference on Computer and Information Technology (ICCIT), 2019, pp. 1-6
Defectors: A Large, Diverse Python Dataset for Defect Prediction
Parvez Mahbub, Ohiduzzaman Shuvo and M. Masudur Rahman, In Proceeding of The 20th Mining Software Repositories (MSR), 2023, pp. 393-397, Melbourne, Australia, May 2023
Bugsplainer: Leveraging Code Structures to Explain Software Bugs with Neural Machine Translation
Parvez Mahbub, M. Masudur Rahman, Ohiduzzaman Shuvo and Avinash Gopal, In Proceeding of The 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), 2023, pp. 6, Bogotá, Colombia, October 2023
Software Bug,Bug Explanation,Software Engineering,Software Maintenance,Natural Language Processing,Deep Learning,Neural Text Generation
Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification
Sigma Jahan, Mehil B. Shah, Parvez Mahbub and M. Masudur Rahman, In Proceeding of The 47th International Conference on Software Engineering (ICSE), 2025, pp. 13, Ottowa, Ontario, Canada, April 2025 (To appear)
Recommending Code Reviews Leveraging Code Changes with Structured Information Retrieval
Ohiduzzaman Shuvo, Parvez Mahbub and M. Masudur Rahman, In Proceeding of The 39th International Conference on Software Maintenance and Evolution (ICSME), 2023, pp. 194-206, Bogotá, Colombia, October 2023
[May 2022 — Apr 2024]As the Vice President External Advocacy in Dalhousie Association of Graduate students (DAGS), maintained relations with several external organizations and committees including Department of Advanced Education, Nova Scotia
[May 2022 — Apr 2023]As the Graduate Student Representative in Dalhousie Student Union (DSU) Council, ensured the decisions and policies passed in the DSU are in favor of the graduate students
[May 2022 — Apr 2023]As the Graduate Student Representative in Faculty of Graduate Studies (FGS) Council of Dalhousie University, I ensured the students’ interest in faculty policy
[2017 — 2018]As the Head of Promotion of Podium, arranged a dozen sessions Khulna University — an organization for improving public speaking skills
[2018]Served as the Head of the Souvenir Committee in Khulna University Central Rag, 2018
[2018]Managed official website of CSE discipline, Khulna University, and corresponding computer club — CLUSTER as the IT secretary of CLUSTER.
[October 2024]Containerization and Why Should I Care on CMPT 370: Intermediate Software Engineering program organized by Department of Computer Science and Dr. Zadia Codabux held in University of Saskatchewan, Canada. View Slide
Thesis: Comprehending Software Bugs Leveraging Code Structure in Neural Language Modelling Supervisor: Masud Rahman
Bachelor of Science in Computer Science and Engineering
Khulna University
January 2015 – February 2019
Thesis: Authorship Identification of Source Code Segments Written by Multiple Authors Using Stacking Ensemble Method Supervisor: S.M. Rafizul Haque
Higher Secondary School
National Ideal College
July 2012 – June 2014
Secondary School
National Ideal School
January 2010 – June 2012
Lower Secondary School
Chittagong Police Institution
September 2007 – December 2009
Lower Secondary School
Baishrashi Shiva Sundori Academy
January 2007 – August 2009
Primary School
Nurullagonj Government Primary School
January 2006 – December 2006
Primary School
Galaxy Pre-Cadet School
August 2005 – December 2005
Primary School
Police Kindergarten School
February 2001 – July 2005
Primary School
Maijdee PTI Government Primary School
January 2001 – January 2001
Personal Projects
Jhijhi
A react app backed by Express JS and Mongo DB to facilitate cricket scoring with heavy customization support. It is hosted with Netlify (frontend), Amazon EC2 (backend), MongoDB Atlas (database), and Circle CI (deployment).
Developed a visualization system for a state-of-the-art bug localization tool (LR+WE by Ye et al.). It visually explains the localization process gradually at document-to-document, document-to-word and finally word-to-word level.
Python VueJS D3JS TypeScript Flask scikit-learn Word Embedding NLTK
Bug Report Deduplication Using Siamese Cross-Encoder Network
Replicated a state-of-the-art duplicate bug report detection technique based on a siamese architecture. We showed that even a simpler version of the original work can achieve comparable performance.
[Sep 2021 — Aug 2023] Dalhousie University Scholarship: Awarded by the Faculty of Graduate Studies and the Faculty of Computer Science for academic results and research excellence
[May 2022 — Apr 2023] Mitacs Accelerate Scholarship: Awarded by Mitacs to research in explaining software bugs using artificial intelligence
[Apr 2019] Placed among the top 15 teams in Datathon Bangladesh, 2019 by Robi Axiata Group
[Oct 2017] Champion in the programming contest in CSE Fest 2017, Khulna University, Bangladesh
[May 2017] 2nd runner-up in DIU App Contest, 2017 arranged by Daffodil International University, Dhaka, Bangladesh
[May 2015] Runner-up in the programming contest in CSE Fest 2015, Khulna University, Bangladesh
[Jan 2015 — Dec 2016, 2018] Khulna University Scholarship: Awarded by the Computer Science and Engineering Discipline and Khulna University scholarship committee based on academic excellence
Parvez M Robin is a knowledgeable and insightful person who likes to share his thoughts and ideas on various topics related to software engineering, machine learning, and natural language processing. He writes blog posts on his personal website where he explains complex concepts in simple and humorous ways. He is also a learner and teacher who constantly updates his skills and knowledge by taking courses, reading books, and attending workshops. He also helps others learn by hosting workshops, taking classes, and providing mentorship.
— Bing Chat
Sad Story of A Dino
One of my friends, dino, volunteered to rearrange the contents of this site. As she is a dino with a prehistoric sense of humour, she didn’t catch the sarcasm in the Testimonials section. So, she rewrote the whole thing which was really better (compared to AI).
Let’s keep a minute of silence for that pure little dino.
For serious testimonials check out my LinkedIn profile
Want to know more?
Why don’t you send an email to parvezmrobin[at]gmail[dot]com and let’s talk.
Website 
