Md Manzurul Islam
@mdmanzurulislam
I am a Flutter and Odoo developer building IoT-enabled mobile solutions for real-time operations.
What I'm looking for
I hold a B.Sc Engg in Computer Science and Engineering and have published work on deep learning and ensemble machine learning, including a Springer journal paper on diabetes prediction. My academic background underpins a strong foundation in machine learning and applied research.
I develop production mobile and IoT systems: at Bista Solution I worked on SonnerPipe 360, ZPS Pos, Field Advantage and Fleet (Odoo/Flutter) with barcode, offline adjustment, Google Maps integration and REST APIs, and at EraVend I led the Pizza Vending Machine and Eravend client app, with a deployed machine in Germany and apps published to Google Play.
I bring hands-on skills in embedded systems (Arduino/NodeMCU), server administration (Windows/Linux), databases and version control, and a strong problem-solving record (Codeforces, LeetCode, HackerRank). I pursue product-focused teams where I can deliver reliable, real-time mobile and IoT solutions.
Experience
Work history, roles, and key accomplishments
IoT Flutter Developer
EraVend GmbH & Co. KG
Aug 2024 - Present (1 year 1 month)
Built IoT-backed vending machine control and management systems handling four motors and 32 sensors with real-time notifications, dynamic pricing, remote reboot/volume control; developed a Flutter management app published on Google Play and deployed machines in Germany.
Junior Software Developer
Bista Solution Inc
Oct 2023 - Present (1 year 11 months)
Developed Odoo/Flutter inventory and POS features including barcode-based offline inventory adjustment, REST APIs, Google Maps lead view, and foreground location tracking within a 500m range; published mobile apps to Google Play.
Education
Degrees, certifications, and relevant coursework
Bangladesh University of Business and Technology
Bachelor of Science in Engineering, Computer Science and Engineering
2019 - 2023
Grade: CGPA 3.73
Activities and societies: Publications: "Apple Disease Diagnosis for Precision Agriculture Using Deep Learning Neural Network"; "A Stacked Ensemble Machine Learning Approach for the Prediction of Diabetes" (noted as Q2, Springer, impact factor cited in source).
Completed B.Sc. Engineering in Computer Science and Engineering in May 2023 with a CGPA of 3.73; final project/publication focused on Apple Disease Diagnosis using deep learning.
Availability
Location
Authorized to work in
Job categories
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