Leading AI & Machine Learning professional from Bangladesh — Manager, Machine Learning Engineering at Optimizely, with 7+ years across AI, data science, and software engineering, including 5+ years leading engineering teams.
About
I'm a leading AI & Machine Learning professional from Bangladesh, with a background in software engineering and 7+ years of experience — including 5+ years managing engineering teams.
Currently, I lead the Machine Learning Engineering team at Optimizely and serve as a part-time faculty member in the Department of Computer Science and Engineering at United International University (UIU) in Dhaka. Previously, I worked as a Data Science Manager at Robi Axiata Ltd and as a Data Scientist at Axiata Group Bhd.
I completed my Bachelor's and Master's degrees from BRAC University. I have expertise in productizing, developing, and deploying large-scale Machine Learning models on Big Data platforms (Cloudera), cloud (AWS), and local environments. I love to play and experiment with algorithms — some early experiments live at www.niloy.red. Primary languages: Python and Java; also Android, Spring, and Django.
Research interests
Education
BRAC University, Bangladesh
Thesis: Learning to Win: A Process Reward Model for Competitive Machine Learning Agents. Advisor: Dr. Golam Rabiul Alam
Publication · Benchmarking and Selecting Optimal Diabetic Retinopathy Detecting Machine Learning Model using Entropy and TOPSIS Method
BRAC University, Bangladesh
Thesis: Pattern Recognition with Quantum Support Vector Machine on Near-Term Quantum Processors. Advisor: Dr. Mahbubul Majumdar
Publication · Classification of Categorical Objects in Ventral Temporal Cortex using fMRI Data
Extracurricular
Professional Experience
From ML engineering leadership to applied data science across telecom, logistics, and education.
Europe (remote) · Full-Time
Developing Machine Learning solutions for the business by leading a team of ML engineers and analysts.
United International University (UIU)
Dhaka, Bangladesh · Part-Time
Designed and developed course materials for Artificial Intelligence Lab (CSE3812) and Software Engineering Lab (CSE3422).
Turing
USA-Remote · Full-Time (Contract)
Built LLM and RLHF/RLAIF training pipelines and Kaggle-style competition environments for Meta, targeting gold-level data science competition performance.
Continental Expedited Services
Tennessee, USA (remote) · Full-Time
Developed an ML-based price optimization model and optimized vehicle route planning.
Dhaka, Bangladesh · Full-Time
Led small teams of Data Scientists working on AI projects across Sales, Marketing, and Network.
Achievements · Best Innovator Award · Star Performer · Best Team Award
RedDot Digital Limited · Contractual
Dhaka, Bangladesh
Developed and deployed an end-to-end AI solution for tobacco leaf grading for British American Tobacco (BAT) by leading a team of data scientists and SDEs.
Malaysia (remote) · Full-Time
Developed Machine Learning models for operating companies under Axiata Group (e.g. Ncell Axiata, Smart Axiata).
Dhaka, Bangladesh · Full-Time
Responsible for developing the application backend.
Dept. of CSE, BRAC University
Dhaka, Bangladesh · Full-Time
Instructor for 6 sections with 240+ students in Spring 2019 and 4 sections with 170+ students in Summer 2019.
Dhaka, Bangladesh
Raised funds from hackathons and local projects. Designed and developed 4+ e-commerce Android and web apps for SME businesses.
Academic Experience
BRAC University
Dhaka, Bangladesh
Co-supervised Bangla text-to-speech AI thesis work with Dr. Zavid Parvez and mentored the team through research pipelines to a peer-reviewed ACR 2023 publication.
UpSkill Ltd
Dhaka, Bangladesh · Part-Time
Built Data Science screening assessments for Intelligent Machines and mentored 30 software engineers into AI/ML industry roles.
IEEE BRAC University Student Branch
Dhaka, Bangladesh
Built the official IEEE BRAC University web portal and led petitions launching the Computer Society and Power & Energy Society chapters.
Microsoft Bangladesh
Dhaka, Bangladesh
Selected as the sole MSP from 200+ candidates and organized campus workshops and events on cloud infrastructure and Microsoft technologies.
Awards
Publications
In Proceedings of the 2023 International Conference on Advances in Computing Research (ACR'23)
This paper represents an approach to speech-to-text conversion in the Bengali language. A novel dataset of 56 unique words from 160 individual subjects was prepared. Using LSTM, the work achieved 90% accuracy on an unexplored dataset, validated across demographic populations and noise conditions, toward real-time Bengali speech-to-text recognition.
ICECCME 2021 · IEEE Xplore
After pre-processing a DR dataset, Inception-v3 extracts features and eight models are trained and evaluated on ten metrics. Entropy-weighted TOPSIS benchmarks the models; AdaBoost is selected as the best detector for the studied data.
TENCON 2019 · IEEE Xplore
Machine learning on fMRI data from the ventral temporal cortex classifies objects subjects viewed (cat, chair, etc.). With hyper-parameter tuning, SVM (96.92%) and k-NN (96.90%) performed best — with implications for BCI solutions.
BRAC University thesis · DSpace
Maps classical feature points onto a quantum computer and proposes a QSVM model for near-term superconducting quantum processors, showing quantum optimization can train a discriminative SVM for pattern recognition.
Judging & Advisory Roles
Robi Datathon 2.0 (National Flagship Hackathon)
National
Designed technical problem statements and evaluated ML performance and code architecture across 1,685 submissions from 384 teams and 1,117 participants.
Department of CSE, BRAC University
Dhaka, Bangladesh
Adjudicated 14 undergraduate thesis defenses as an industry AI/ML expert, assessing methodology, novelty, and presentation rigor.
Hack NSU (Season 5), North South University
Dhaka, Bangladesh
Judged the finals across 11 teams and 6 real-world problem statements, scoring scalability, technical design, and execution quality.
Innovation Challenge (Season 15), North South University
Dhaka, Bangladesh
Evaluated year-long CSE/EEE/ETE capstone projects focused on AI and Machine Learning to select three major award recipients.
Speaking & Instruction
Works
Selected personal work, algorithmic experiments, and interactive pieces live on my creative site.
Visit niloy.red to explore projects, demos, and experiments beyond this portfolio.
Visit niloy.redSkills
Programming, ML frameworks, big data platforms, visualization, and application stacks.