Iftekher Toufique Imam
Software Engineer with 3+ years of experience in mobile and backend development. As a computer science graduate with more than 5 years of experience in data structures, algorithms, and problem solving, I thrive on challenges and am always eager to master new technologies.
Work Experience
Software Engineer
Apr 2022 - Present
Blockchain and Backend Developer
Sep 2023 - Oct 2025
Education
B.Sc. in Computer Science and Engineering
Khulna University of Engineering & Technology
Thesis: A Novel Multi-Module Approach to Predict Crime Based on Multivariate Spatio-Temporal Data Using Attention and Sequential Fusion Model.
Project: DOC-BLOCK: A Blockchain Based Authentication System for Digital Documents.
IELTS: 7.5 (TRF: 23BD500345IMAI050A)
2017 - 2022
Publications
DOC-BLOCK: A Blockchain Based Authentication System for Digital Documents.
ICICV 2021, pages 1262–1267
Citations: 53
A Novel Multi-Module Approach to Predict Crime Based on Multivariate Spatio-Temporal Data Using Attention and Sequential Fusion Model.
IEEE Access, 10:48009–48030, 2022
Citations: 26
Selected Projects
Beauty Editor Plus Face Makeup
iOS SwiftObjective-CMetal SLMLModel
- Makeup: Photo realistic hair recoloring, lipstick, eyelashes, eyeliner, lenses, teeth whitening
- Face tweaking: Face, jaw, lip, nose, eye resize, reshape
- Blur: Several blur techniques such as bokeh, hexagonal, disc, zoom, box, motion, Gaussian blur along with Background, foreground, linear, circular selection
- Various machine learning models & image processing techniques were used to achieve these
- Undo-redo manager with layer selection, swapping
iOS SwiftMLModel
- Optimized/ app’s performance for image similarity scanning.
- Developed algorithm for finding best image among a set of similar images
iOS PytrochSwiftMetal SLMLModel
- Photo Colorizing model for the app that colorizes any photo.
- Quick Tools features incorporate recolor, color-pop, colorize, double exposure, etc.
- R&D for ML-based Super resolution,Face enhancement, Photo colorizer of Image
ChatGPTStable DiffusionNFT NextJSTypescriptBlockchainSolidityMongodb
- Smart Contracts: Developed PinkyNFT, Token and Marketplace contracts. Solidity and Remix were utilized for contracts deployed in Polygon, ASTAR. FunC language was used for TON network
- Website: Developed the backend, necessary frontend functionalities, and views to connect with the backend and smart contracts. The frontend and backend were developed using Next.JS, Typescript, MongoDB, Auth0 and Vercel.
- Mobile (WIP): iOS and Android support using the same APIs from the website backend with the Auth0 authentication layer. React Native and Typescript were used for this
Telegram BotMini AppReactNextJSTON NetworkMongoDB
- Pinky-ton-auction is aiming to giveaway NFTs through an auction/investment mechanism.
- Backend developed using react, nextjs on top of the Ton Network, and mongodb
- Currently live as a Line Mini App
JMXPlayer and JMXPlayer Cast
Android KotlinJSHTML
- Video/audio steam/playback with media casting, playlist, history, and M3U playlist
- Webview with media parsing
- Adblocker and cross-app media sharing
Like!
Android KotlinNodeJS
- Movie/TV series streaming app using TMDB API, web scraping
- Optimized Firebase usage with Github and offline caching techniques
- Enhanced APK security with various checks with signature-dependent content encryption
- Automated CMS with NodeJS