Ansh Aneja

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console
ansh@tokyo:~$ whoami
──────────────────────────────────────────────────────────────
        ⛩️            ansh aneja — アンシュ
      /    \          ─────────────────────────────
     /______\         Role      AI Engineer @ Rimo (Tokyo, remote)
    |  |  |  |        Uni       DTU New Delhi · B.Tech CSE · 8.59
    |  |  |  |        Uptime    since 2022, zero unplanned downtime
   _|__|__|__|_       Shell     go, typescript, python
                      Packages  llm-agents, rag, e2b, promptfoo
  os: production      Theme     tokyo-night (obviously)
──────────────────────────────────────────────────────────────

ansh@tokyo:~$ cat ./impact.log
[OK] slack translation SaaS ..... 35+ workspaces · 2M+ chars/month
[OK] slack marketplace .......... LIVE — deployed & monetized
[OK] languages supported ........ 26 ──▶ 50
[OK] inference latency .......... cut by 50% · api costs cut ~70%
[OK] mldl.study ................. 23,000 learners · 150+ countries · ⭐370+
[OK] engimatch .................. 500K page views in 72 hours
[OK] support tickets @ bachatt .. reduced 36% with RAG
[OK] llm failures ............... relocated from prod ──▶ CI, permanently

ansh@tokyo:~$ █

🏮 自動販売機 — THE VENDING MACHINE

*Tokyo has 4 million vending machines. This profile has one. Insert coin, pick a drink.*

&nbsp;🥤&nbsp;「TRANSLATE-O-CULT」 — the bilingual Slack SaaS &nbsp;¥120

> カシャン！ *(the can drops)*
>
> Shipped end-to-end at Rimo: a real-time bilingual Slack translation platform, from early prototype to live, monetized product.
> - 🌏 35+ active workspaces, 2M+ characters translated per month
> - ⚡ Latency −50% — fused language detection + translation into one structured-output call
> - 🈳 26 → 50 languages, formatting preserved across code blocks, mentions, emoji, CJK
> - 💴 Built the money layer too: Polar.sh subscriptions, race-safe atomic usage metering, tiered pricing
> - 🛡️ Prompt-injection hardened; recurring LLM failures moved out of prod and into CI

&nbsp;🍵&nbsp;「AGENT GENMAICHA」 — the autonomous AI agent &nbsp;¥150

> カシャン！
>
> An autonomous task agent that operates a real computer:
> - 🖥️ E2B desktop sandboxes + headless Chrome + live VNC streaming
> - 🔐 Completes workflows behind authenticated logins; sessions persist on Cloud Run
> - 📊 Generates editable .pptx; pluggable image gen (Gemini / GPT-Image-2, per-request)
> - 🧪 Wrapped in a full eval + observability stack — Promptfoo suites, Arize AX tracing, automated prompt optimization

&nbsp;🍜&nbsp;「MLDL.STUDY RAMEN」 — 23,000 servings &amp; counting &nbsp;¥0 — free forever

> カシャン！
>
> Open-source ML/DL roadmap platform: mldl.study · repo
> - 🎓 23,000+ learners across 150+ countries
> - ⭐ 370+ stars — ML, deep learning, transformers, LLMs, computer vision
> - 🍥 One bowl, every topping: videos, papers, competitions, projects

&nbsp;🧋&nbsp;「ENGIMATCH SODA」 — 500K views in 72h &nbsp;¥100

> カシャン！
>
> Event-based dating platform for college fests — built, monetized, viral:
> - 💘 3,000 users · 500,000+ page views in 3 days · 100+ successful matches
> - 💳 Cashfree payments with backend verification · MERN · Vercel

&nbsp;🎰&nbsp;??? — the mystery button nobody presses &nbsp;¥500

> ガチャン…コロコロ… *(a capsule rolls out)*
>
> 🥠 Fortune inside: *"Your LLM output is only as deterministic as your eval suite."*
>
> You found the gacha. Since you're here — the RAG assistant I built at Bachatt cut human support tickets by 36%,
> and I once migrated 15+ repos across GitHub orgs while restoring CI/CD, Workload Identity Federation, and release
> pipelines — with zero downtime. That's the stuff that never fits on the front of the machine. 🎁
>
>
> &nbsp;&nbsp;🗝️ there is a second capsule…
>
>
> > *開発者の俳句 — a developer's haiku:*
> >
> > *prompts fail in prod —* 🍂
> > *I move the failures to CI,*
> > *cherry blossoms bloom* 🌸
>
>

🐍 桜蛇 — THE SAKURA SERPENT

*It feeds nightly on my commit graph.*

⛩️ 縁 — EN

*In Japan,* 縁 *(en) is the invisible thread that connects people who were meant to meet.*
*You scrolled this far — that counts.*


手作り — hand-drawn in raw SVG. no templates were harmed in the making of this README.

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