Anthony Weng Email & Phone Number

Berkeley, CA, US

Mountain View, California, United States

Helping companies across diverse industries build ethical, efficient, end-to-end AI solutions.

Austin, TX

• Principal engineer and project executive for early-stage EdTech startup that leverages generative AI technologies to create mobile app-based educational content for K-12 students.
• Delivered 3 independent projects in a 6-week time frame, acting as the primary manager and contributor throughout each project’s development life cycle which includes: ideation, data structure engineering, prompt.
• Authored 100+ prompt iterations and graded ∼1000 prompt completions across ∼10 projects, each utilizing multiple generative AI tools such as: GPT-3.5/GPT-4 (text), Midjourney (images), Elevenlabs (audio), HeyGen (video).
• Created institutional resources across the company by: designing AI research directives; developing prompt engineering best practices; conceiving 10+ original project ideas; refactoring the real-work assignment used in.

Palo Alto, CA

• Graduate intern for the research science arm of AppLovin, designing machine learning approaches to administer the company’s state-of-the-art mobile ads recommendation and delivery system.
• Adapted this 2020 paper (https://arxiv.org/pdf/2006.05639.pdf) to implement an original Transformer-based module that embeds a user’s app interaction history, leading to a 0.1% normalized entropy reduction and improved.
• Devised a modeling strategy to reduce the number of feature embeddings by 10,000x for a user-specific feature. Strategy combined the quotient-remainder trick (see https://arxiv.org/pdf/1909.02107.pdf), an original user.

Stanford, CA

• Consultant for Stanford Libraries’ data science support group, providing guidance to 20+ members of Stanford’s research community in individual and group settings. Primarily advised on data ETL and visualization in.
• Designed a feedback meta-analysis project to: (1) develop methods for better measuring educational workshop impact (longitudinally and cross-sectionally); and (2) abstract principles for the creation of more click-able.
• Developed and taught community workshops for topics such as: (1) text analysis and machine learning; and (2) best practices when using real-life, messy data (e.g., data source identification, pre-processing.

Stanford, CA

• Principal aide driving the data science work for 20+ projects of a research collective exploring the impacts of technology on economic outcomes.
• Projects include: (1) investigating impact of large language models like GPT-3 on the economy; (2) measuring the adoption of work-from-home protocols before/after COVID-19; and (3) modeling the distribution of outcomes.
• Developed experience with: data wrangling with Python NumPy and pandas, data visualization with matplotlib and RStudio's ggplot, NLP and text analysis in Python (NLTK, spaCy, regex), regression modeling in RStudio.

Westport, CT

• Intern within Bridgewater Associates' investment engine, pursuing projects which interfaced between varying levels of investment logic and engineering design.
• Created a unified module to represent a major economic player's balance sheet. Development life cycle consisted of: (1) conceptual partitioning of said players’ operations; (2) developing a minimal viable product; (3).
• Constructed an alpha-strategy bond trading system as an independent final project. Project elements included trading signals development, signal composition logic, portfolio construction methodology, and a suite of.
• Developed fundamental macroeconomic investment thinking. Studied topics include: feasibility of alpha strategies as related to the efficient market hypothesis; economic actors and the short- and long-term debt cycles.

Taipei City, Taiwan

Project lead for case study on the integration of Intumit's conversational AI in SaaS company products (e.g., Salesforce, Automation Anywhere, Power Automate).

Lincoln, NE

Business lead and hardware engineer for a startup initiative to design an integrated meal delivery system (the “SensiTray”) capable of autonomously detecting the nutritional content of a meal.

Master Of Science - Ms, Computer Science, 4.0

- Graduate degree specializing in machine learning and AI, with interests in NLP and RL.

Bachelor Of Arts - Ba, Economics, 4.0

- Undergraduate degree specializing in macroeconomic dynamics and applications of algorithmic thinking.