https://github.com/awrsha/awrsha

For my GitHub Profile :) This is a repository for displaying personal information and the status of my GitHub account.
https://github.com/awrsha/awrsha

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For my GitHub Profile :) This is a repository for displaying personal information and the status of my GitHub account.

Host: GitHub
URL: https://github.com/awrsha/awrsha
Owner: Awrsha
Created: 2021-10-03T02:44:11.000Z (almost 5 years ago)
Default Branch: main
Last Pushed: 2026-05-07T09:08:37.000Z (2 months ago)
Last Synced: 2026-05-07T11:16:08.582Z (2 months ago)
Topics: github, personal, readme-badges, readme-profile, readme-stats
Homepage:
Size: 237 KB
Stars: 4
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

Building intelligent, secure, and scalable systems that power fintech, autonomous robotics, and embedded AI.

From payment OS architecture to RoboCup world champions — I turn research into real‑world impact.

Just for fun

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## 📇 Contact & Quick Facts

| 📍 Location | 📞 Phone | ✉️ Email | 🌐 Website |
|:---:|:---:|:---:|:---:|
| Tehran, Iran | +98 992 020 4175 | [official.parvizi@hotmail.com](mailto:official.parvizi@hotmail.com) | [awrsha.github.io](https://awrsha.github.io/) |

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## 🧠 Professional Summary

I am a **Senior R&D Specialist in Artificial Intelligence and Intelligent Systems**, focused on transforming advanced research into scalable, real‑world technologies across fintech, autonomous systems, and secure embedded platforms. My work sits at the intersection of AI innovation, operating systems, and mission‑critical infrastructure.

At **TOSAN Techno**, I lead R&D initiatives for operating systems and software platforms powering next‑generation payment terminals and ATM ecosystems — spanning AI integration (CV, LLMs/VLMs), Security Platform (SP) architecture, OS validation, certification, and end‑to‑end system security.

Previously, I developed embedded AI and autonomous control systems at **SoftwareMotion** (China), collaborated on automotive safety ECUs at **Mammut Group**, and contributed to multiple RoboCup world championships with **MRL Humanoid**. I also engaged in advanced computational neuroscience research at **Neuromatch Academy**, building Bayesian models of decision‑making.

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## 🎯 What I'm Currently Working On

**🤖 Vision Models & LLMs/VLMs**
Intelligent payment ecosystems — fraud detection, device analytics, automation.

**🏧 Payment Terminal & ATM OS**
End‑to‑end R&D lifecycle, multi‑OS certification (Prolin, Monitor, PayDroid, Android).

**🔐 Security Platform (SP)**
Secure boot, cryptographic key management, system integrity.

**🌐 International Vendor Collaboration**
PAX, NexGo, Hyosung, GRG Banking, and more for national‑scale ATM infrastructure.

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## 🏢 Professional Experience Timeline

```mermaid
timeline
title Career Journey
2022 : AI Engineer – Humanoid Autonomous Systems @ MRL Humanoid (RoboCup)
2024 : AI Engineer – Automotive AI & Safety Systems @ Mammut Group
2025 (Jan) : R&D Engineer – ADAS & Autonomous Control @ SoftwareMotion
2025 (Jun) : Senior R&D Engineer – Payment Systems & Secure Banking @ TOSANTECHNO
2025 (Jul) : Computational Neuroscience Researcher @ Neuromatch Academy
2026 (Jan) : AI Engineer – Vision & LLM/VLM @ TOSANTECHNO
```

🧠 AI Engineer – Vision & LLM/VLM @ TOSANTECHNO (Jan 2026 – Present)

**Role Overview:** Leading applied AI R&D focusing on deploying **Vision Models (CV)**, **Large Language Models (LLMs)**, and **Vision‑Language Models (VLMs)** in real‑world fintech and payment infrastructure environments.

**Key Contributions:**
- Designed and developed AI‑driven architectures for intelligent payment ecosystems, integrating Computer Vision and multimodal models for real‑time decision‑making.
- Built and optimized vision‑based systems for device intelligence: transaction monitoring, anomaly detection, operational analytics.
- Integrated LLMs/VLMs into fintech workflows for automation, contextual analysis, and intelligent reporting systems.
- Developed scalable AI pipelines for **edge and embedded deployment** in payment terminals and banking hardware.
- Contributed to AI‑enhanced security systems, improving **fraud detection** and behavioral anomaly recognition.
- Collaborated with cross‑functional R&D teams to transition AI models from research prototypes to production‑grade systems.

🏧 Senior R&D Engineer – Payment Systems & Secure Banking Infrastructure @ TOSANTECHNO (Jun 2025 – Present)

**Role Overview:** Senior technical lead responsible for research, development, validation, and certification of payment terminal and ATM operating systems, supporting **Iran's largest ATM infrastructure ecosystem**.

**Core Responsibilities:**
- Led end‑to‑end R&D lifecycle for payment terminals, ATMs, POS systems, cashless platforms, and biometric/ID devices.
- Specialized in **Security Platform (SP)** architecture: secure boot processes, cryptographic key management, system integrity enforcement.
- Developed and maintained **Java‑based OS‑level validation frameworks** for functional, performance, and compliance testing.
- Managed **multi‑OS certification** and release engineering across Prolin, Monitor, PayDroid, and Android‑based systems.
- Designed and executed hardware‑software integration testing strategies for global vendor devices (PAX, NexGo, Kozen/XC Tech, Hyosung, GRG Banking, LKS).
- Optimized system‑level performance for embedded payment environments under strict latency and reliability constraints.
- Contributed to standardization and modernization of national‑scale ATM infrastructure.

🔬 Computational Neuroscience Researcher @ Neuromatch Academy (Jul 2025 – Apr 2026)

**Research Overview:** Selected for an intensive, lab‑style program simulating graduate‑level computational neuroscience, focusing on neural and computational principles of decision‑making under uncertainty.

**Focus:** Brain‑wide representations of prior information and uncertainty, inspired by IBL 2024 study. Worked with **Neuropixels electrophysiology** and **calcium imaging** from behaving mice.

**Key Contributions:**
- Developed **Bayesian and probabilistic models** to characterize latent cognitive variables governing decision dynamics.
- Applied machine learning and representation learning to extract interpretable structure from high‑dimensional neural recordings.
- Designed large‑scale data preprocessing pipelines (signal denoising, alignment, multimodal validation).
- Analyzed neural population activity to decode encoding of prior beliefs, uncertainty, and behavioral adaptation.

**Impact:** Strengthened ability to bridge neuroscience and AI, developing principled models of cognition grounded in real neural data.

🚛 R&D Engineer – ADAS & Autonomous Control @ SoftwareMotion Co., Ltd (Jan 2025 – Jun 2025)

**Role Overview:** Contributed to AI‑driven control systems for autonomous vehicles and intelligent transportation, supporting smart mobility and unmanned logistics.

**Key Contributions:**
- Designed and validated control logic and system‑level behaviors for intelligent driving systems.
- Optimized performance and reduced latency in real‑time embedded environments.
- Contributed to safety validation and robustness testing aligned with industry‑grade standards.
- Supported international deployment across diverse regulatory environments.

**Industry Exposure:** JAC Motors, China National Heavy Duty Truck Group, AXera Technologies, Tongxing Technology, National Intelligent Connected Vehicle, Ligong Tongyu.

🚚 AI Engineer – Automotive AI & Safety Systems @ Mammut Group (Jan 2024 – Dec 2024)

**Role Overview:** Designed and developed AI‑driven safety and driver‑assistance systems for heavy‑duty trucks and commercial vehicles at a leading Middle East manufacturer.

**Key Contributions:**
- Implemented and tested AI‑enhanced control logic within resource‑constrained embedded environments.
- Optimized system performance for low‑latency, real‑time execution on automotive hardware.
- Supported validation and reliability testing aligned with automotive safety and compliance standards.
- Collaborated across mechanical, electrical, and software teams for robust system integration.

🤖 AI Engineer – Humanoid Autonomous Systems @ MRL Humanoid (RoboCup) (Jan 2022 – Dec 2022)

**Achievements:** Part of a top‑tier robotics team achieving **multiple international RoboCup championships** in Australia, Canada, Thailand, Russia, and Japan.

**Key Contributions:**
- Designed and implemented real‑time computer vision pipelines for object detection, ball tracking, localization, and field recognition.
- Developed multi‑agent AI systems for coordinated team behavior and distributed decision‑making.
- Applied reinforcement learning and adaptive control strategies to enhance autonomous tactical responses.
- Engineered robust perception systems resilient to noise, occlusion, and rapid environmental changes.

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## 🛠️ Technical Expertise

### 🤖 Artificial Intelligence & Machine Learning

### ⚙️ Embedded Systems & Real‑Time

### 🔒 Fintech & Security

### 💾 Data, DevOps & Tools

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## 📊 GitHub Analytics

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## 🎓 Education

DegreeInstitutionPeriodFocus
🎓 M.Sc. Artificial IntelligenceQazvin Islamic Azad UniversityGraduated Oct 2025AI, CV, RL
🎓 B.Sc. Software EngineeringQazvin Islamic Azad UniversityOct 2020 – Feb 2024Software foundations

## 📜 Key Certifications

CertificationIssuerCountry
Elements of Artificial IntelligenceUniversity of Helsinki🇪🇺
Computational NeuroscienceNeuromatch Academy🇺🇸
Unsupervised Learning, Recommenders, Reinforcement Learningdeeplearning.ai🇺🇸
Fundamentals of Reinforcement LearningUniversity of Alberta🇨🇦
Programming for Everybody (Python)University of Michigan🇺🇸
Advanced Computer Vision with TensorFlowdeeplearning.ai🇺🇸
Robotics: Aerial RoboticsUniversity of Pennsylvania🇺🇸
Google Analytics (Beginner, Advanced, 360)Google Academy🇪🇺

*All certificates are verified; clickable links can be provided upon request.*

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## 🌐 Connect with Me