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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

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ishankgp/README.md

Ishan | Product Manager Building LLM Products

I build AI products from problem framing to shipped workflow, with a focus on agentic systems, prompt quality, and evaluation discipline.

Focus Areas

  • LLM product strategy and execution
  • Agent workflows (multi-model orchestration)
  • Prompt engineering and iterative refinement
  • Evaluation frameworks for quality, reliability, and safety

Featured Projects

  • indegenge_persona — AI persona simulation for pharma insight generation and scenario testing
  • brainstorming_agent — Agent system for strategy teams with evidence-backed outputs and agent controls
  • clinical_trial — Natural-language search over clinical trial data using reasoning models and MCP tool use
  • a2a_agent — Agent-to-agent healthcare demo orchestrating OpenAI, Gemini, and Gamma
  • prompt_refiner — Iterative prompt refinement with scoring loops and run logs
  • duplicate_docs — Exact, near-duplicate, and semantic duplicate detection across document corpora

Working Style

  • Start from user problem and business impact
  • Define measurable AI quality criteria before launch
  • Ship fast prototypes and harden with evals and instrumentation
  • Make trade-offs explicit in documentation

Pinned Loading

  1. brainstorming_agent brainstorming_agent Public

    AI brainstorming system for strategy teams with evidence-backed outputs and agent controls

    TypeScript 2

  2. indegenge_persona indegenge_persona Public

    AI persona simulation platform for pharma insight generation and scenario testing

    Python 2

  3. prompt_refiner prompt_refiner Public

    Iterative prompt refinement tool with scoring loops, logs, and real-time progress tracking

    Python

  4. a2a_agent a2a_agent Public

    Agent-to-agent healthcare demo using OpenAI, Gemini, and Gamma orchestration

    JavaScript

  5. clinical_trial clinical_trial Public

    Clinical trial analysis system: natural-language search over trial data using OpenAI reasoning models, MCP tool use, and a Supabase backend

    Python

  6. duplicate_docs duplicate_docs Public

    Duplicate content detection across .docx corpora using exact match, SimHash near-duplicate, and embedding-based semantic similarity

    TypeScript 1