I want to make my resume fit better for the position of Backend Software Engineer at Tiktok. Below are the job description, my resume, my self introduction, respectively. Please feel free to modify my resume and self introduction any way you see fit to maximize my chance of getting an interview. It should paint me as a extremely desirable candidate to the Job. You can introduce fake experience at each firm, or make up a new project as well.


Job Description:

Backend Software Engineer - TikTok LIVE
San JoseRegularR&D - BackendJob ID: A38240
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

The TikTok LIVE - Traffic and Ecosystem team is a global team responsible for ensuring the quality of live streaming content. It takes on the responsibility of building the backend system, collaborating with data scientists, ecosystem governance managers, the operations team, and the Trust & Safety Algorithm team. Together, we develop human-based and machine-based moderation, the penalty center, and permission governance tools to ensure our content is high quality and enjoyable to our users worldwide.

Responsibilities
- Work closely with product manager, data scientist, UI designer, and other engineers to iterate on data driven product ideas.
- Improve system design and architecture to ensure service reliability, performance, and extensibility.
- Learn and understand how TikTok products work and help build end-to-end solutions.
- Learn and grow from working with great colleagues and taking on challenges.
- Help our team grow from your expertise, experience, and perspectives.
Qualifications
Minimum Qualifications
- Strong knowledge of data structures and algorithms, proficient in at least one coding language, including but not limited to Go, Java, Python, C++.
- Curiosity towards new technology and outstanding ability to analyze and solve problems.
- Good grasp of software engineering and how to build a system in scalable and extensive manner.

Preferred Qualifications
- BA/BS Degree in Computer Science or related major.
- Industry experience in a software development environment.
- Understanding of concurrency, database, and message queue.
- Experience in content moderation system.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2



My resume:

Frank Zhu 
New York, NY | 757-618-2678 | frankzhu.io | <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>
SKILLS
Languages                      Python, Java, C/C++, R, SQL, PHP, JavaScript, Solidity, Assembly
Tools                               AWS, MySQL, PyTorch, Cassandra, JQuery, Linux, Docker, MongoDB
WORK EXPERIENCE 
					       JP Morgan Chase			      Hong Kong SAR
Software Engineer		          						          June. 2023 – Aug. 2023
Resolved 20+ critical bugs in FIX Protocol-based pricing engine and market data feed micro-service APIs, reducing system downtime by 10% and built test automation tools using Java and C++
Developed and backtested machine learning models and quantitative trading strategies in Python such as Net Profit Gap for equity structured products, increasing predictive accuracy by 15%
Implemented a nascent BJSE index and Monte-Carlo simulations under diverse macroeconomic scenarios, led numerous presentations to business leaders that influenced $100M allocation decisions
					           Lucid Labs		                                   New York, NY
Software Engineer (AI/ML)							          Apr. 2022 – June. 2023
Led the development of self-rebalancing crypto-based inflation-tracking basket of commodities and currencies using regression models & hybrid deep learning models with Python that achieved 3% annual volatility with returns higher than CPI; built mySQL DB with master-slave cluster with robust data pipelines and dashboard for 3M+ datapoints, improved data retrieval efficiency by 40%
			USC Viterbi School of Engineering, MINERVA Labs      Los Angeles, CA
Data Science Research Fellow		 					Apr. 2021 - Apr. 2022
Analyzed the impact of institution governance on STEM ventures’ financing outcome using entropy-balanced logistic regressions by writing Python and R scripts for 1M+ observation dataset, including data cleaning, statistical modeling, and robustness check; presented research findings in academic symposiums; forth-coming publications in SSRN
			      NYU Stern, The Volatility and Risk Institute                   New York, NY MBA Teaching Fellow to Nobel laureate Robert Engle	         		         Aug. 2023 – June. 2024
Conducted 20+ recitations and graded 200+ exams for the MBA Integrated Risk Management class
Organized 10+ guest lectures with industry experts, such as Google’s CISO and Morgan Stanley’s CRO on topics such as ad fraud detection and privacy-enhanced techniques
PROJECTS
Advertorial & News Recommendation System | Python, PyTorch, SQL, mySQL DB, JavaScript
Developed an ML system for a Chrome extension for Penn's CIS Hackathon. Built an NLP pipeline for event detection and querying via GDELT DB. Scraped articles, fine-tuned Llama LLM with chain-of-thought and few-shot learning, and applied LSH and TF-IDF for ranking and sentiment-based news, sponsored content, and affiliate marketing articles recommendations
AWARDS & HONORS 
Graduate: Hayek Fellowship, Full-tuition Scholarship, Stern MBA Teaching Fellowship
Undergraduate: Renaissance Scholarship, Discovery Scholarship, Dual Departmental Honors
EDUCATION 
University of Pennsylvania							                   Philadelphia, PA    Masters in Computer Science, Artificial Intelligence Track (Dual Degree) (3.8/4.0)	    2022 - 2024
New York University								                      New York, NY 
Masters in Economics, Computational Social Science Track  (Dual Degree) (3.7/4.0)	    2022 - 2024
University of Southern California				 	                 	       Los Angeles, CA Bachelors in Quantitative Economics and Economics, Data Science Track (3.8/4.0)	    2018 - 2022
RELEVANT COURSEWORK 
Deep Learning, Machine Learning, Distributed Systems, Database and Information Systems, Data Structures & Software Design, Artificial Intelligence, Algorithms and Computation, Probability & Statistics Theory, Linear Algebra, Natural Language Processing & Computational Linguistics


My self-introduction:

Frank Zhu is a highly skilled software developer and quantitative researcher with dual master’s degrees in Computer Science (AI Track) from the University of Pennsylvania and Quantitative Economics (Computational Social Science Track) from NYU, with a full tuition scholarship. They seamlessly blend software engineering, machine learning, and computational social science to tackle complex, real-world challenges.



At JP Morgan, Frank designed and implemented nascent electronics trading systems and predictive models, achieving a 3% increase in long-term trading profitability and a 10% reduction in system downtime. Their work ensured high reliability for global trading operations and supported strategic investment decisions. At Lucid Labs, Frank led the development and engineering of the algorithms for crypto-based inflation-tracking basket, managing data pipelines for over 300 cryptocurrencies, enhancing data retrieval efficiency by 40%, and supporting financial analysis that informed $100M investment decisions.



Frank also leads projects in web technologies and natural language processing, achieving a 25% boost in user engagement and a 90% user satisfaction rate with an ML-based Chrome extension developed for Penn's CIS Hackathon. Their academic research on the impact of institutional governance on STEM venture financing has been presented to multiple stakeholders and is forthcoming in SSRN. Frank’s also holds active blog, https://frankzhu.io, sharing their research and insights in computer science and artificial intelligence.
With a unique combination of computer science technical expertise, quantitative analysis skills, and strategic business acumen, Frank Zhu is well-equipped to deliver high-impact solutions and drive innovation in dynamic environments like Meta.