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Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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dario-github/README.md

About

Hi! I'm Dario Zhang

  • A former Fintech Algorithm Engineer;
  • Studying Knowledge Graph & Causal Discovery;
  • Graduated from Tongji University.

๐Ÿ” Experience:

  • NLP Algorithm Engineer & Data Scientist: Expertise in AI solution architecture and product interaction design.

๐ŸŽ“ Education:

  • Dual Degree: Mathematics, Tongji University and Technical University of Berlin (TUB).

๐Ÿ› ๏ธ Expertise:

  • Large Model Optimization & Logical Reasoning: Proficient in addressing complex AI challenges.
  • Macro-Market Analysis & Venture Capital: Extensive experience in strategic market assessments and investment.

๐Ÿš€ Projects:

  • AI Models for Marketing: Developed several models and tools focused on enhancing marketing strategies.

๐ŸŒ Focus:

  • Integrating Technology and Market Demands: Committed to merging cutting-edge technology with practical market needs for robust commercial application.

Skills

Language Basic Skills Basic Skills

Latest Blog Posts (Note & Push)

TitleDescribeDateLink
่งฃๅ†ณUbuntu 22.04ไธŠAPTๅญ˜ๅ‚จๅบ“่ญฆๅ‘Šๅ’Œไธ‹่ฝฝ้€Ÿๅบฆ้—ฎ้ข˜Note & PushAug 11, 2023https://blog.dariolink.vercel.app/่งฃๅ†ณubuntu-2204ไธŠaptๅญ˜ๅ‚จๅบ“่ญฆๅ‘Šๅ’Œไธ‹่ฝฝ้€Ÿๅบฆ้—ฎ้ข˜
ๅœจWSL็š„vscodeไธŠไฝฟ็”จGPG็ญพๅๆไบคๆ›ดๆ”นๅ› ไธบGPGๅœจWSLไธŠไธๅผนๅ‡บๅ›พๅฝข็ช—ๅฃ็š„็ผ˜ๆ•…๏ผŒ้œ€่ฆๅ…ˆๅœจๅ‘ฝไปค่กŒ่ฐƒๅ‡บๅฏ†็ ่พ“ๅ…ฅ็š„ๅ‘ฝไปค่กŒ็ช—ๅฃ๏ผŒ็„ถๅŽ็ผ“ๅญ˜็ง˜้’ฅ๏ผŒไน‹ๅŽๆ‰่ƒฝ็”จvscode็š„gitๆไบคใ€‚Jun 9, 2023https://blog.dariolink.vercel.app/ๅœจwsl็š„vscodeไธŠไฝฟ็”จgpg็ญพๅๆไบคๆ›ดๆ”น

AI Code Time

Profile Views

๐Ÿ“Š This Week I Spent My Time On

๐Ÿ’ฌ Programming Languages: 
Other                    23 hrs 53 mins      โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   33.53 % 
Markdown                 19 hrs 22 mins      โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   27.19 % 
TypeScript               12 hrs 11 mins      โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   17.10 % 
Diff                     4 hrs 10 mins       โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   05.86 % 
JSON                     3 hrs 7 mins        โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   04.40 % 

๐Ÿฑโ€๐Ÿ’ป Projects: 
zhongwen-shortdrama-main 25 hrs 57 mins      โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   36.45 % 
ceo                      14 hrs 55 mins      โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   20.95 % 
codex                    1 hr 26 mins        โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.03 % 
h3-5090-1026             52 mins             โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   01.23 % 
test-deploy              52 mins             โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   01.23 %

๐Ÿค– AI Coding This Week

โฑ AI Coding Time: 71 hrs 14 mins (100.0%)

โœ๏ธ 68,484 lines written by AI, 4 lines written by hand (99.99% AI-written)

๐Ÿ”ค 389,574,998 Input Tokens, 35,817,886 Output Tokens

๐Ÿ’ต $4933.16 Estimated AI Cost This Week

๐Ÿง  2288 AI Sessions, 3033 AI Prompts

Opus                     28,337 lines        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   41.03 % 
GPT                      23,671 lines        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   34.27 % 
K                        9,048 lines         โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   13.10 % 
Sonnet                   7,944 lines         โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   11.50 % 
Fable                    48 lines            โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.07 % 

๐Ÿ”Ž AI Coding Insights:
๐Ÿค– AI-Driven โ€” 99.99% of written lines came from AI
๐Ÿ“š Verbose Prompter โ€” average 5,618 characters per prompt
๐ŸŽฏ One-Shot Prompter โ€” average 1 prompts per session
๐Ÿš€ High AI Trust โ€” 0.01% of changed lines were hand-edited

Pinned Loading

  1. agent-self-evolution agent-self-evolution Public

    Automated evaluation, ablation testing, and continuous improvement framework for AI agents

    Python

  2. biomorphic-memory biomorphic-memory Public

    Brain-inspired memory architecture for AI agents โ€” spreading activation, Q-value decay, semantic graph retrieval

    Python

  3. causal-discovery causal-discovery Public

    The causal discovery toolkit, related algorithms are derived from the matlab version, for ease of use, converted to the python version, so that non-professionals can also use it.

    Python