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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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@EddieHubCommunity

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octonawish-akcodes/README.md

Abhishek Kumar: I make AI agents work in production

Typing intro

X @logsofabhi LinkedIn Email Blog


Terminal: whoami, focus, eval run showing agent stability 74% → 98%, SLA 40% → 88%, +55% engagement


$ cat about.yaml

name: Abhishek Kumar
role: AI Engineer @ BrowserStack
focus:
  - LLM evaluation & autonomous eval workflows
  - Agentic workflows that survive real users
  - Model selection: accuracy × latency × cost × stability
  - Production AI infra on AWS / GCP / Kubernetes
background:
  - Data Engineer @ Refyne   # Airflow, 1M+ records/day, SageMaker
  - GSoC @ SPCL, ETH Zürich  # serverless benchmarking, Knative
  - Linux Foundation LiFT Scholar & Dan Kohn Scholarship
philosophy: "A demo is easy. A reliable agent is engineering."
fun_fact: "Coffee makes me sleepy ☕"

$ ./highlights --sort impact

Highlights: 74→98% agent stability, 40→88% SLA adherence, +55% engagement, 2× Champion Award, −40% deployment failures, 1M+ records/day, −80% ML training time, GSoC

$ ls ~/stack

Languages & ML

Cloud & DevOps

Databases

LLM Evals, AI Agents, RAG, Vector DBs, Claude Code, Apache Airflow, PySpark, Redshift, SageMaker

$ curl abhishek.prod/status

abhishek.prod status page: shipping uptime, pull requests, streaks, stars, followers, languages

Pinned Loading

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