G.M. Millat (Anondo)
Frontend Developer · CSE Researcher
Hi World, I'm G.M. Millat (Anondo), a Computer Science & Engineering graduate and Frontend Developer from Bangladesh. I build responsive products with React.js, Next.js, and modern JavaScript, including CareerEdge.AI and IngreChec. I also contribute to machine learning research, with published, accepted, and pending work across healthcare prediction and AI-assisted interview preparation.
My Work
Projects I'm proud of
A snapshot of product-focused experiments and real-world projects where I handled everything from UX flow to production deployment.
Developed CareerEdge.AI, an AI-driven platform that simulates real interview scenarios, generates role-specific questions, and provides automated feedback on user responses. Selected for the UIHP Launchpad Program funded by Bangladesh Hi-Tech Park Authority and the World Bank. Awarded Pre-Seed funding to support product development.
Founded and led IngreChec, a smart food ingredient analyzer that helps users make safer, healthier eating choices. Designed and implemented functionality to scan food labels and provide instant safety insights for individual dietary needs. Promoted healthy lifestyle awareness contributing to Tech for Good initiatives in Bangladesh.
Co-authored research paper "Advancing Early Chronic Kidney Disease Prediction: An Optimized Machine Learning Framework", submitted to the International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII 2026). Utilized advanced ML models achieving up to 98.2% prediction accuracy.
Co-authored research paper "Advancing Automated Diabetic Foot Ulcer Detection: A Deep Learning-Based Medical Image Classification Framework", submitted to the International Conference on Emerging Frontiers in Technology (ICEFronT 2026). Developed and evaluated CNN, MobileNetV2, EfficientNetB0, and ResNet50 models, achieving 99.58% classification accuracy with EfficientNetB0.
Peer-to-peer skill exchange platform where users list skills they can teach, search by skill, chat in real time, and jump into peer-to-peer video calls to swap knowledge.
A music platform for discovering and sharing playlists with friends. With Youtube API
This project opens your webcam, detects faces in real time, and displays the person's current emotion label right next to their face on screen — using the CNN neural network path.
Local Dhaka is a community-driven Q&A and discussion platform built specifically for Dhaka residents. Ask about the best biryani in Old Dhaka, find a safe hostel near your university, report a waterlogged road, or discover hidden gems — all powered by locals who actually know.
CineOtaku is an all-in-one entertainment platform designed for anime enthusiasts, movie lovers, and binge-watchers alike. The website provides access to a wide collection of anime series, movies, TV shows, and web series through a streamlined and intuitive interface. Users can easily discover new content, browse different genres, and enjoy seamless streaming across desktop and mobile devices.
My Journey
Professional Experience
A timeline of my career path, showcasing the roles and technologies I've worked with in various projects and companies.
Co-authored “CareerEdge: An AI-Powered Interview Preparation Platform with Semantic Response Evaluation,” accepted for presentation at IEEE RAAICON 2026.
COO & CTO and Frontend Developer for CareerEdge.AI, an AI-powered interview practice platform for real-world interview simulation, role-specific question generation, and automated response feedback. Selected for the UIHP Launchpad Program, funded by the Bangladesh Hi-Tech Park Authority and the World Bank, and awarded Pre-Seed funding for product development and future scalability.
Co-authored “Advancing Early Chronic Kidney Disease Prediction: An Optimized Machine Learning Framework.” The paper was published in IEEE and added to IEEE Xplore on 27 August 2026 under PECCII 2026 (DOI: 10.1109/PECCII70991.2026.11661906). Utilized XGBoost, LightGBM, and Kolmogorov–Arnold Networks, achieving up to 98.2% prediction accuracy.
Co-authored “Advancing Automated Diabetic Foot Ulcer Detection: A Deep Learning-Based Medical Image Classification Framework,” submitted to ICEFronT 2026. Developed and evaluated CNN, MobileNetV2, EfficientNetB0, and ResNet50 models, achieving 99.58% accuracy with EfficientNetB0.
Education
Academic Background
My educational journey that shaped my foundation in technology and problem-solving.
University of Information Technology and Sciences
B.Sc in Computer Science and Engineering · Dhaka, Bangladesh
17 Sep 2022 – 30 Sep 2026
Dr Mahbubur Rahman Mollah College
Higher Secondary Certificate (HSC) — Science · Jatrabari, Dhaka
30 Jun 2019 – 13 Feb 2021
Jibnagar High School
Secondary School Certificate (SSC) — Science · Chatkhil, Noakhali
3 Jan 2015 – 6 May 2019
My Skills
The tools I reach for every day
A curated mix of frameworks, runtimes, and services that help me craft reliable, performant user experiences across the stack.
C++
Bootstrap
PostmanAdditional Profile
Languages & special skills
Languages: Bangla (mother tongue), English (Higher Intermediate).
Multimedia and content: Kinemaster, Adobe Photoshop, Adobe Lightroom, Adobe Premiere Pro, Canva, PowerPoint, After Effects, and DaVinci Resolve.
Specialties: Web development, startup management, ML models with Kaggle datasets, Gemini API integration, and prediction models with Python and XGBoost.
Recognition
Courses & Certifications
Verified achievements across development, research, and innovation programs.
CareerEdge.AI was selected for the University Innovation Hub Program (UIHP) Launchpad. Based on performance during the program, secured Pre-Seed Funding to further develop the project. The program is supported by Bangladesh Hi-Tech Park Authority and the World Bank.
Presented research poster at SISE 2026 for CareerEdge: An AI-Powered Interview Practicing Platform. Awarded Participation Certificate for poster presentation.
Verified Frontend Developer (React) certification from HackerRank.
Connect
Let's build together
Pick the channel that fits best — every link here stays in sync with my latest work.