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Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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abhisheksharma026/README.md

Abhishek Sharma

AI Engineer based in Berlin. I build production LLM agent systems — voice and chat agents, RAG pipelines, and the retrieval and orchestration plumbing that makes them reliable in the wild.

Currently building applied LLM systems in production. Off-hours I write about system design and turn research ideas — diffusion, clustering, rare-event learning — into small, readable repos.

Selected work

  • ai-phone-assistant — Production-grade healthcare phone agent. Google ADK, FastAPI, Kubernetes.
  • Trip-Planner — Autonomous AI agent that plans end-to-end trips.
  • feynman-technique — A Claude/Codex skill that turns resolved engineering work into reusable learning notes.
  • system-design-playbook — Mental models, tradeoffs, and failure modes for system design.
  • variational-fuzzy-kmeans — Soft clustering via a variational free-energy objective.
  • entropy-afl-reranker — Entropy-regularized focal filtering and calibrated reranking for rare-event classification.

Stack

LLM agents (Google ADK, LangGraph) · RAG / pgvector · Python · FastAPI · TypeScript · PostgreSQL · Temporal · Docker · Kubernetes · GCP

Writing and links

Stats Top Langs

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  1. Taxfix-App Taxfix-App Public

    Code base to predict user drop-off

    Python

  2. feynman-technique feynman-technique Public

    A Claude/Codex skill for turning resolved engineering work into reusable learning notes with the Feynman Technique.

    Python 1

  3. Trip-Planner Trip-Planner Public

    An AI Agent that helps plan trips.

    Python

  4. entropy-afl-reranker entropy-afl-reranker Public

    Entropy-regularized focal filtering and calibrated reranking for rare-event classification tasks.

    Python

  5. proxy-guided-clustering proxy-guided-clustering Public

    Proxy-Guided Clustering: Enhancing K-Means with Learned Density-Aware Augmentations

    Jupyter Notebook

  6. variational-fuzzy-kmeans variational-fuzzy-kmeans Public

    VFKM is a principled soft clustering method based on minimizing a variational free energy objective that integrates reconstruction loss, entropy regularization, and KL divergence-based temporal con…

    Python