I’m Md Shahanur Islam Shagor, a Full-Stack Web Developer, AI Engineer, and Founder of OpenMindAI Technologies Ltd. focused on building dependable software and intelligent systems that connect the web, AI, edge computing, and the physical world.
My work spans full-stack product engineering, machine learning, computer vision, autonomous systems, distributed architectures, and applied cybersecurity. I enjoy taking complex problems from idea to implementation—designing the architecture, building the product, integrating intelligent components, validating performance, strengthening security, and shipping systems that are practical to use and maintain.
Across my projects, I have worked on scalable web platforms, local-first AI applications, edge-AI systems, UAV navigation and sensor fusion, privacy-preserving machine learning, secure connected systems, and research-driven engineering prototypes. What matters most to me is not adding technology for its own sake, but choosing the right engineering approach for the problem and making the result reliable in real-world conditions.
I approach engineering with a strong product and systems mindset: clean architecture, secure-by-design decisions, measurable performance, maintainable code, thoughtful UI/UX, automation, and reliable deployment. I’m especially interested in work where software must do more than function—it needs to be useful, resilient, scalable, and technically sound.
- Based in Voronezh, Russia · UTC+3
- Portfolio: https://smshagor.com
- GitHub: @smshagor-dev
- Email: smshagor.dev@gmail.com
- Company: OpenMindAI Technologies Ltd. — Founder
- Core Focus: Full-Stack Engineering · Local AI · Autonomous Systems · Edge AI · Applied Security
I am the Founder of OpenMindAI Technologies Ltd., building practical AI software, portable developer tools, and research-driven engineering systems. The focus is local-first AI, accessible computing, privacy-aware workflows, and dependable developer experiences.
Part of the wider ecosystem: OpenMindAI Cloud, a web and backend platform for hosted chat, research workflows, and API integration. Cloud features depend on the configured hosting and providers; local model execution remains a separate workflow.
Contribution data is generated automatically by the profile artwork workflow and refreshed daily.
Automatically synchronized from my public ORCID record every 6 hours. Last sync: 04 Nov 2026, 06:37 UTC.
- ACOUSTIC LOCALIZATION FOR DECENTRALIZED SWARMS OF UNMANNED AERIAL VEHICLES IN THE ABSENCE OF GPS — MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2026 : Proceedings of the International Scientific and Practical Conference dedicated to the 5th anniversary of the Faculty of Computer Science and Technology, Voronezh, Marth 30, 2026 · 2026-06-30 ·
Conference Paper
- Personalized Federated Learning Under Severe Statistical Heterogeneity: A Multi-Dataset Analysis of Accuracy, Tail Performance, and Client Fairness — 2026-09-21 ·
Preprint - An Identity-Aware Permissioned Blockchain Architecture for Secure Connected Vehicle Communication — 2026-09-18 ·
Preprint - Beyond Dirichlet Alpha: Realized Client Heterogeneity for Privacy–Utility–Fairness Evaluation in Federated Learning — 2026-09-18 ·
Preprint - Confidence-Aware ESKF–MSCKF Fusion of Visual–Inertial and UWB/TDOA Measurements for Robust UAV Localization in GPS-Denied Environments — 2026-09-18 ·
Preprint - Post-Quantum and Trust-Aware Authentication for Permissioned Vehicular Blockchains: Session-Amortized V2X Security with Historical Key Continuity — 2026-09-18 ·
Preprint - Tamper-Evident Incident Response and Digital Evidence Management for Connected Vehicles Using Permissioned Blockchain — 2026-09-18 ·
Preprint - WVAB: Temporal Risk-Gated Multimodal Guidance and Trusted Edge Streaming for Offline Assistive Vision — 2026-09-18 ·
Preprint - Replay-Resistant Admission and Permissioned Quorum Consensus in Connected Vehicle Networks: A Fail-Closed, Implementation-Grounded Security Study — 2026-09-17 ·
Preprint - A Severity-Calibrated Adversarial Benchmark for Federated Learning: From Label Corruption to Structured Model-Update Injection — 2026-09-10 ·
Preprint - Native Byzantine-Robust Aggregation for Trustworthy Federated Learning: A C++20 Evaluation of Krum, Multi-Krum, Trimmed Mean, and Coordinate-wise Median — 2026-09-10 ·
Preprint - Policy-Gated Zero-Trust Federated Learning: Identity-Bound Enrollment, Replay-Resistant Control, and Secure Coordination — 2026-09-10 ·
Preprint - Quorum-Bounded Asynchronous Federated Learning under Non-IID Data and Adversarial Clients: A Systems Study of Stale-Update Exclusion and Convergence — 2026-09-10 ·
Preprint - Adaptive Edge Intelligence for Low-Latency Assistive Vision under Dynamic Network and Computational Constraints — 2026-09-03 ·
Preprint - Fabrication-constrained tandem inverse design of photonic crystal fiber SPR sensors with uncertainty-aware Pareto screening — 2026-09-03 ·
Preprint - Risk-Aware Adaptive Video Processing with Freshness Control for Low-Latency Assistive Vision — 2026-09-03 ·
Preprint - A Secure Offline Edge Architecture for Wearable Vision Assistance: Raspberry Pi-ESP32-CAM Integration and Reproducible Software Validation — 2026-09-02 ·
Preprint - WVAB: A Low-Latency Wireless Assistive Vision Framework for Risk-Aware Navigation and Multilingual Audio Guidance — 2026-08-31 ·
Preprint - Toward Blockchain-Assisted Zero-Trust Secure Communication for Decentralized UAV Swarms in GPS-Denied Environments: A Mathematical Security and Scalability Framework — 2026-08-27 ·
Preprint - Cyber-Resilience and Trust-Aware Command Authorization for Autonomous UAV Swarms in GPS-Denied Environments — 2026-08-26 ·
Preprint - Decentralized Coordination and Acoustic Source Localization in Autonomous Drone Swarms — 2026-08-26 ·
Preprint - OmniGuard V2X: A Hybrid-Security Prototype Framework with Assumption-Aware Validation for Smart Vehicle Systems — 2026-08-26 ·
Preprint - Policy-Gated Firmware Trust and Anti-Rollback Resilience for Autonomous UAV Edge Platforms: A Formal Security and Software Validation — 2026-08-26 ·
Preprint - Sequence-, Epoch-, and Integrity-Aware Detection of Replay and Peer-Spoofing Attacks in Decentralized UAV Mesh Networks: A Software-Validated Security Framework — 2026-08-26 ·
Preprint - Toward Secure Decentralized Coordination and Acoustic Source Localization in Autonomous Drone Swarms — 2026-07-31 ·
Preprint - CyberPhotonics-SPR: An auditable research workflow for uncertainty-aware inverse design of PCF-SPR sensors — 2026 ·
Preprint
These are public GitHub repositories with the strongest visible star activity, not a claim that every experimental project is widely adopted. Star and fork badges refresh dynamically.
| Repository | GitHub activity | Engineering focus |
|---|---|---|
| UAV GPS-Denied Navigation | Autonomous drones, sensor fusion, resilience, and GPS-denied localization | |
| Next-Gen V2X Security | Connected vehicle security, cryptography, and distributed trust | |
| OpenMindAI | Private, local-first desktop AI | |
| Federated Learning on Non-IID Data + DP | Privacy-aware and reproducible distributed ML |
Snapshot (1 November 2026): UAV GPS-Denied Navigation led this selection with 29 stars and 11 forks. OpenMind Studio and CodeTwin-ML are featured for technical scope and active development, not for star counts.
My core research portfolio spans autonomous systems, trustworthy and privacy-preserving AI, cyber-physical security, edge intelligence, V2X, photonic sensing, and safety-oriented industrial AI.
A curated set of technically interesting repositories covering software intelligence, computer vision, production-oriented web systems, communication, offline speech, and infrastructure. These are selected for engineering content, not presented as popular by star count.
For autonomy, privacy-preserving ML, and cyber-physical security, explore the Research Projects section above.
A work-aligned stack built from the technologies I use across production web platforms, local-first AI, mobile and desktop applications, autonomous systems, edge computing, applied security, distributed systems, and research engineering.
TypeScript · JavaScript · Python · C++20 · Go · PHP · Rust · Dart · Kotlin · Java · Bash · PowerShell
HTML5 · CSS3 · React · Next.js · Tailwind CSS · Bootstrap · Material UI · Sass / SCSS · Vite · Three.js · Figma
Node.js · Express.js · Laravel · Strapi · PostgreSQL · MySQL · MongoDB · Redis · SQLite · Prisma ORM · Firebase
PyTorch · TensorFlow · Scikit-learn · OpenCV · Flutter · Android · Tauri · Raspberry Pi · Arduino · Qt · CMake
Docker · Nginx · Linux · Git · GitHub · GitHub Actions · AWS · Google Cloud · Kubernetes
| Signal | Current Focus |
|---|---|
| Currently Building | Production-grade AI applications, autonomous-system research prototypes, full-stack platforms, and offline/edge intelligence |
| Researching | Sensor fusion, trustworthy AI, autonomous localization, privacy-preserving ML, V2X security, and post-quantum systems |
| Learning | Better model optimization, resilient distributed architectures, robotics integration, and secure AI deployment |
| Engineering Mindset | Clean architecture, strong boundaries, measurable performance, security by design, automation, and maintainability |
| Fun Fact | I enjoy projects where software has to interact with the physical world, not just a browser tab |














