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  • Sameer Verse
  • india
  • 08:18 (UTC -12:00)

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NizamuddinSameer-1/README.md

$ whoami

BCA student & software developer.
Building autonomous AI workflows, custom media bots, and open-source tools.

I build automated engines, test them on real data, and eliminate friction. Currently scaling
pinterest-automation-suite — an autonomous visual generation and multi-account publishing
engine with cloud GPU upscaling. Also deeply focused on agentic AI, LLM tooling, and financial models.

$ ls ~/stack

python   typescript   javascript   react   fastapi   scikit-learn   langchain   pandas   docker   git   linux

$ git log --oneline ~/projects

pinterest-automation-suite  ·  python, automation, colab
Automated Pinterest affiliate growth engine: AI-powered visual generation, automated Colab GPU
upscaling, multi-account publisher, and dynamic lookbook bridge.

AI-YouTube-Content-Planner  ·  python, llm, automation
Autonomous content strategist and planner generating optimized hooks, video outlines,
SEO metadata, and publication timelines.

AI-Stock-Market-Analysis-Chatbot  ·  python, financial data, llm
Conversational market intelligence agent analyzing stock movements, technical indicators,
and company balance sheets with interactive synthesis.

ChatWithPDF  ·  python, rag, langchain
Context-aware document retrieval engine enabling conversational Q&A, citation extraction,
and rapid synthesis over long-form technical documents.

AI_EDA_Agent  ·  python, pandas, analytics
Autonomous agent for Exploratory Data Analysis: automated profiling, anomaly detection,
and statistical visualization generation.

ML_Flower_Classification-project_NS  ·  python, scikit-learn, streamlit
Multi-model benchmark suite comparing 6 classifiers with a real-time interactive
Streamlit interface for side-by-side performance evaluation.

$ gh stats --year

Contributions in the last year Current and longest streak Top languages by bytes and by repo The last year, one character per day

$ man ./this-page

Every graphic here is generated, not embedded from anyone else's server.
ascii.svg is an ASCII portrait pushed through a character ramp with embedded
JetBrains Mono; the stat graphics, the status HUD and these section headings are drawn by
a scheduled action straight from the GitHub GraphQL API,
once a day, committing only what changed.

The page reads as one terminal session: a boot banner up top, a logout at the bottom
(both drawn once by build_static.py), and each section headed by
the command that printed it. They animate with SMIL inside the SVG, because GitHub
strips scripts from READMEs — and since nothing loads from a third party, nothing here
can rate-limit or go dark. The headings are SVGs for the same reason: GitHub also
strips CSS, so an image is the only way to put this page's own typeface on them.

The typeface is JetBrains Mono, subset to just the characters
each graphic draws and inlined as base64. That isn't only for looks: the
portrait's grid assumes an advance width of exactly 0.600 em, and a viewer whose
default monospace is narrower would otherwise see it squeezed.

Language totals cover public repositories only. year.svg uses the portrait's
character ramp: : + # @, quiet to loud.

guest@verse:~$ exit

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