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iabhisekbosepm/README.md

Hi, I'm Abhisek 👋

I design and build AI systems, not features.

I work on LLM-powered products, agent workflows, and scalable AI platforms — translating complex business problems into production-grade systems.

Most of my work focuses on:

  • real systems (not demos)
  • evaluation + reliability
  • cost, latency, and scaling trade-offs

🚀 What I Work On

  • 🧠 AI Systems
    LLM pipelines, multi-agent workflows, decision systems

  • ⚙️ Agentic Architectures
    Task routing, tool calling, approval gating, execution validation

  • 🔎 RAG Systems
    Hybrid retrieval (vector + graph + metadata), query rewriting, reranking

  • 📊 AI Product Systems
    Data → model → decision → automation pipelines

  • 🧪 Evaluation & Reliability
    Feedback loops, hallucination mitigation, fallback strategies

  • 🚀 Production Systems
    High-scale SaaS (10k+ TPS), latency + cost optimization


🧩 Featured Systems

🧠 CortexBrain — AI Knowledge System

  • Memory-enabled AI with confidence gating + auditability
  • Designed for compliance-heavy environments
  • Focus: trust, traceability, correction persistence

🤖 ChampIQ / CheckoutChamp Agent

  • Multi-agent system with 70+ MCP tools
  • Includes:
    • task routing
    • approval gating
    • execution validation
  • Converts APIs → safe AI operator workflows

🧪 AI QA Automation System

  • Converts:
    • test scenarios → structured cases → executable flows
  • Includes:
    • dynamic test data
    • validation checkpoints
  • Reduces manual QA dependency

📘 Deep Learning Interactive Platform

  • Built system to explain deep learning via interactive layers
  • Focus: making complex AI concepts usable

🧑‍💻 About Me

  • AI Product Architect building LLM + Agent systems in production
  • Experience scaling multi-tenant SaaS platforms (10k+ TPS)

Impact:

  • $15M+ revenue driven via AI systems
  • 60–70% reduction in manual workflows
  • 18%+ conversion uplift

I work across:

  • product strategy
  • system design
  • AI execution

🛠️ Tech Stack

AI / LLM

  • OpenAI, Claude, Gemini, Llama
  • RAG, multi-agent systems, prompt workflows

Systems

  • Python (FastAPI), Node.js
  • LangGraph, CrewAI

Data

  • PostgreSQL, MongoDB, Neo4j
  • Redis, Qdrant

Infra

  • Docker, AWS, Celery
  • Observability (Langfuse)

🔍 Currently Exploring

  • Advanced agent orchestration
  • AI system evaluation frameworks
  • Cost-efficient LLM architectures
  • Autonomous product workflows

🔗 Links

Pinned Loading

  1. custom_agent custom_agent Public

    Custom Agents is a terminal-based AI coding assistant that runs entirely on your machine. It gives you specialized AI agents — explorer, coder, and reviewer — that can read, write, search, and reas…

    TypeScript 3 2

  2. Deep-Learning-Interactive-Tutorial-For-Everyone Deep-Learning-Interactive-Tutorial-For-Everyone Public

    Deep Learning Interactive Tutorial - That's all you need to know

    JavaScript

  3. cckanabn cckanabn Public

    JavaScript

  4. cortexbrain cortexbrain Public

    CortexBrain is a B2B AI knowledge system that gives organizations a persistent, self-correcting "internal brain."

    HTML

  5. claude-god-setup claude-god-setup Public

    Multi-agent orchestration system with 21 specialized agents, automated workflows, and cost-optimized model routing.

    JavaScript 1

  6. codex-god-setup codex-god-setup Public

    Multi-agent orchestration system for OpenAI Codex CLI with 21 specialized agents, automated workflows, and cost-optimized model routing

    JavaScript 1