🇯 🇮 🇪 🇽 🇮 🇦 🇴's Resume
Gender: Male
Age: 24
Phone: +86 🇮 3 6 🇮 🇮 7 5 4 🇮 🇴 3 /
+6 🇮 485828899
Work Experience: 6 years
Strengths
Solid Theoretical Foundation
Strong foundation in computer science theories, complemented by extensive interdisciplinary project experiences.
Full-stack Development Skills
Developed multiple projects including AI-driven document generation tools, blockchain quantitative trading systems, and cross-national property management platforms, covering front-end development, backend development, and system architecture design, gaining comprehensive full-stack capabilities.
Project Management Experience
Held roles as a Junior Project Manager and Full-stack Developer, participated in requirement analysis, PRD document preparation, and multi-language component development; independently handled module planning, data structure design, front-end architecture refactoring, and code reviews.
International Perspective
Remote collaboration with technical teams from France and Russia; authored bilingual technical documentation in Chinese and English; familiar with the integration and application of AI technologies.
Technical Stack
Programming Languages
Python, Java, JavaScript, C++、Swift, SQL
Databases & Cloud Services
Firebase, MySQL, VPS, Server Deployment, Docker, Nginx、Airtable
Frontend & Backend Technologies
React.js, HTML, CSS, Django、Flask, Node.js
Frameworks & Tools
Backtrader, UIKit, SwiftUI, Selenium, React, Git/GitHub, GitLab, Notion, Jira, Trello, Slack
Data Analysis & APIs
pandas, NumPy, Matplotlib, Binance API, RESTful API, Glassnode API, OpenAI GPT API, ZeroGPT, Make.com
Work Experience
Bafid(France)| Junior Project Manager & Junior Full-Stack Developer
2025.02 – Present
AI-first Cross-border Project Manager / Project Coordinator (PM/PM-Coordinator).
In the STOQ project at Bafid, I was responsible for transforming the process of “idea → specification → implementation → validation → release → review” into a trackable, reusable, and measurable pipeline. By applying the 80/20 principle, I continuously unblocked obstacles, ensuring that the right features were delivered to users faster and more reliably.
My team was distributed across Dubai, Mumbai, Russia, Kazakhstan, Canada, and France, with English as the primary working language. I led daily stand-ups and international meetings, took meeting minutes, clarified requirements, advanced progress, and ensured smooth collaboration across time zones.
My responsibilities covered requirement discovery and alignment (using AI tools to quickly distill noisy inputs into a one-page PRD), planning and decomposition (Jira Epics/Stories/Sub-tasks, DoR/DoD, WBS and milestones), execution and governance (daily EOD reports, a 30-minute unblock rule, Kanban health checks), and validation and release (side-by-side cross-platform rendering comparison, Friday Demos with Monday fixes, gray releases and rollbacks).
I spearheaded multiple key deliverables, including selecting Coze as the compliant agent backbone, while also building critical assets such as field mapping, unit normalization, barcode date parsing, JSON validators, and evaluation sets. Within one week, I completed a demonstrable, submittable, and gray-deployable version of Item Intake Copilot. To address cross-platform pixel consistency issues, I proposed a short-term solution using “image slicing + dynamic text” and a long-term approach using full code implementation, balancing user experience with delivery cadence.
By institutionalizing an AI-first approach, evidence-based decision-making, and a single source of truth (Jira/Slack), I established a metrics dashboard (speed, quality, experience, AI multiplier) and embedded retrospectives as routine practice. As a result, blocker time decreased by 30–50%, rework was significantly reduced, and cross-border hiring and intern onboarding were transformed into efficient, reusable processes.
Work Experience(Continue)
Champ Code Academy(Singapore)| Full-stack Developer
2024.07 – 2025.02
Built a modular student management system centered on Airtable, covering trial classes, student-parent associations, classes, attendance, and payment, fully achieving data modeling and relational structuring. Designed automated workflows using Airtable Automations and Make.com, enabling automated email notifications for new trial bookings, automated absence detection with reminders to teaching staff, automatic updating of summary tables upon payment status changes, and automated email receipts. Led the design and deployment of an intelligent FAQ customer service system based on Relevance.ai, constructed bilingual knowledge bases in Chinese and English, uploaded question-answer datasets, optimized question-matching performance and Prompt structures, and embedded the AI customer service into the official website to provide 24/7 automated response services.
Work Experience(Continue)
CodeHarbor | Founding Member & Full-stack Developer
2020.02 – 2024.01
During my time at university, I co-founded Code Harbor, a youth programming education platform, with my peers. The platform’s core mission was to provide practical programming courses tailored for primary and secondary school students.
From a technical perspective, I made extensive use of and adapted open-source frameworks. For example, I redeveloped a GitHub project originally designed as a “virtual companion” and transformed it into a virtual teaching assistant, enabling interactive classroom engagement and enhancing both immersion and enjoyment in the learning experience. In addition, I built custom scripts to conduct large-scale automated content reposting and keyword coverage, which rapidly increased the platform’s search visibility and web traffic.
On the product and market side, I led the team to participate in multiple entrepreneurial competitions, both on and off campus, where we completed project demonstrations and defenses, and had opportunities to engage with real venture capital firms. These experiences also made me realize my own gaps in areas such as market research, business model design, and user validation.
Altogether, these endeavors allowed me to accumulate valuable hands-on experience in EdTech product development, open-source framework adaptation, SEO growth, and entrepreneurial pitching and market insights.
Internship Experience
Shanghai Bridge Team Education Technology Co., Ltd.
Python Quantitative Trading Programmer
2024.01 – 2024.07
Internship Duration
Main Duty
I was responsible for the design and implementation of quantitative trading strategies, building a backtesting framework with Python and applying the Backtrader tool to complete simulations. Based on the Tiger Open API and Python, I developed quantitative trading scripts and progressively practiced and refined multiple common algorithmic strategies, including moving-average models. I also employed BeautifulSoup and Selenium for data scraping and analysis to support trading decisions. Through this practical work, I accumulated experience in processing market data, building backtesting frameworks, and optimizing trading logic, while gradually improving my capabilities in automated trading and strategy validation. I am familiar with calling APIs from exchanges such as Glassnode, Coinglass, and Binance to obtain both real-time and historical data, integrating common technical indicators to implement and optimize trading logic. Overall, I have mastered the complete workflow from data acquisition and strategy construction to result validation, thereby strengthening my holistic understanding of quantitative trading systems.
Project Experience
AI-driven Appeal Document Generation Tool
Independently developed an AI-driven appeal document generation tool using Python, integrated OpenAI GPT and ZeroGPT APIs, and adopted multi-threaded API management. Developed dynamic parameter adjustments and secure time-lock mechanisms, enhancing tool security and efficiency.

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Education
Monash University
Bachelor of Computer Science
2020 – 2024
Core Courses
I specialized in Advanced Computer Science, taking multiple courses related to data modeling, statistical analysis, and simulation, such as Data Modelling and Computing and Computational Modelling & Simulation. Through these courses, I developed the ability to construct predictive models using mathematical and statistical methods, normalize database structures, and apply simulation techniques to test system behaviors. This training built a strong foundation in quantitative methods, algorithmic modeling, and data-driven analysis, supporting my later work in strategy development and model construction.
Education (continue)
Academy Europe Open University
Master of Business Administration (MBA)
2024-2025
Coursework: Specialized in Human Resource Management, Strategy and Marketing, Project Management, Management Information Systems, and Technology Innovation & Strategic Planning.
Certificates
8.0
IELTS Total Score
Speaking 8.0
Contact Information
Phone
+86 🇮 3 6 🇮 🇮 7 5 4 🇮 🇴 3
Email
🇯 🇮 🇪 🇽 🇮 🇦 🇴 🇿 🇭 🇦 🇳 🇬 1️⃣ @ outlook.com
Expected Salary
18K–30K(CNY)