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$ whoami --deep

What Pulls Me

Not a résumé — that's the uptime --career line. This is the map of what I'm drawn to.

ishan@prod:~$ cat ~/curiosity

  • # retrieval

    Tree-structured & agentic RAG (PageIndex) — moving past vector-only. Reads more like how you'd actually search a codebase or a textbook. In practice: FTS5 and local embeddings fused by Reciprocal Rank Fusion, because lexical and semantic recall fail on different queries.

    ↳ rasputin_loop↳ pdfsage

  • # agent-tooling

    Running agentic coding tools (Conductor, Superset) against real PRs to see which loop converges — Cursor stays the daily driver. The 'agent reads a repo and writes its scaffolding' idea started early.

    ↳ repomaster

  • # the-model-layer

    Karpathy's nanochat lineage — single-GPU, a reference for what 'tiny but real' looks like down at the model layer.

  • # agent-boxes

    Hermes & OpenClaw on a Hostinger VPS, kept alive to watch where production-grade loops degrade: tool-loop convergence, memory bleed, behaviour under sustained load.

ishan@prod:~$ ls -t ~/obsessions

  • # agent-memory

    Procedural memory (AST-indexed) vs episodic (vector-backed) — the two halves coding agents need. Retrieval precision beats recall when a human gates the library; and a memory without provenance is a rumour, so every episode gets stamped with who, where and when.

    ↳ skillforge↳ amadeus↳ rasputin_loop

  • # harness-engineering

    Wiring evals & guardrails into the LLM workflow itself, not bolted on after. Open question: pre-tool, post-tool, or a separate critic agent? The part I keep landing on: the boundary that stops a plausible skill from activating itself.

    ↳ amadeus

  • # multi-agent-orchestration

    Agent boundaries that follow output artifacts, not 'roles' — most of the work is contracts between agents and retry semantics.

    ↳ autodocxpdf↳ market-research

  • # production-under-limits

    The agentic frontier has to sit on real free-tier limits — I'm drawn to designs where the limit becomes an architecture input, not a wall.

    ↳ autodocxpdf

ishan@prod:~$ git log --oneline ~/convictions

  • 8007e90 rate-limits-are-architecture

    Rate limits are an architecture input, not an ops nuisance — the cheapest request is the one you never make. Reduce calls; don't just pace them.

    ↳ autodocxpdf

  • 9db45f8 concurrency-is-layered

    Three overlapping concurrency controls aren't paranoia — each fails differently (lock TTL expiry vs txn serialization vs lost update). Audit trails are cheap early, impossible to retrofit honestly.

    ↳ ticketflow↳ irctc

  • 1320d5d agents-follow-artifacts

    Agent boundaries should follow output artifacts (report sections), not 'roles'. BYOK shapes architecture — no server-side key custody simplifies everything.

    ↳ market-research

  • 782e90f constraint-is-style

    No build step forces the discipline frameworks let you skip — separation of content from layout, by hand.

    ↳ ai-bubble

$ cat ~/certifications

Certifications

  • Google · Cloud Skills Boost ─ badge #24918574

    Google · Cloud Skills Boost · apr 2026

    Gen AI Agents: Transform Your Organization

    Building gen AI agents — models, reasoning loops and tools — and leading organizational transformation with gen AI. The capstone of the Gen AI Leader learning path.

    • agent components
    • reasoning loops
    • Google Cloud gen-AI
    • measuring impact
    • adoption
    verify ↗
  • Google · Cloud Skills Boost ─ badge #23424455

    Google · Cloud Skills Boost · apr 2026

    Orchestrate Complex Multi-Agent Workflows

    Orchestrating multi-agent workflows: unifying data across first- and third-party sources, automating actions across systems, and balancing machine speed with human oversight.

    • multi-agent orchestration
    • agentic assistants
    • human-in-the-loop
    • cross-system automation
    verify ↗
  • Databricks Academy ─ accreditation

    Databricks Academy · apr 2026

    AI Agent Fundamentals

    Foundations of AI agents on Databricks — Mosaic AI and Agent Bricks; agentic workflows and multi-agent systems; building, deploying and evaluating enterprise-ready agents.

    • Mosaic AI
    • Agent Bricks
    • agentic workflows
    • multi-agent systems
    • enterprise agents
    verify ↗

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