Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 

Repository files navigation

Hi, I'm Md 👋

📍 Bangalore, India | 🤖 Agentic builder | 🚀 Napplied Founder

         Quick Profile Contents ...
         ┌──────────────┬────────────────┬───────────────────────────────────┐
         │ Startup...   │ Open Source... │ Multi Agent Orchestrations        │
         │ Napplied AI  │ Coming soon    │      Build with me                │
         └──────────────┴────────────────┴───────────────────────────────────┘

Quick Connects

LinkedIn GitHub LinkedIn


Napplied  Context Aware  Agentic


ᶻ𝗓 What is Napplied?

Napplied is an Agentic AI platform reimagining how talent meets opportunity — powered by relevance, ontology, and deep contextual intelligence. Not your average HR Tech AI. Not even close.

Human Intent
     │
     ▼
┌──────────────────────────────┐
│     NAPPLIED AGENT LAYER     │
│  ┌──────────┐ ┌───────────┐  │
│  │Candidate │ │Morpheus AI│  │
│  │ Search   │ │Interviewer│  │
│  │  Agent   │ │   Agent   │  │
│  └────┬─────┘ └─────┬─────┘  │
│       └──────┬──────┘        │
│    ┌─────────▼──────────┐    │
│    │  Relevancy Engine  │    │
│    │ + Context Ranking  │    │
│    └────────────────────┘    │
└──────────────────────────────┘
     │
     ▼
  Right Fit. Every Time.

🧬 The Product Suite

Right Brain — For Recruiters

🎯 Candidate Search Agent Deep multi-agent evaluation
🎙️ Morpheus AI Interviewer Context-aware AI interviews


Left Brain — For Candidates

🔍 Job Search Agent Find roles that actually fit
✍️ Fillexa Auto Apply Apply intelligently, at scale

The Engine

🧠 Relevancy-Driven Ranking Skill ontology intelligence
Context-Aware AI Not just keywords — meaning
💸 Scalable, Fast, Saved Cost E2E talent flow intelligent

Candidate Search Agent — Deep Dive

"Candidate search agents go deep — contextually evaluating the right candidates for the right job"

┌──────────────────────────────────────────────────────────────────────────────┐
│  AI-Powered Candidate Search  [ Parameter Settings ] [ Relevancy Agents ]    │ 
│  Searching best candidates for:  AI Engineer                                 │
├──────────────┬────────────────┬────────────────────┬─────────────────────────┤
│ EVALUATED    │ ANALYZED       │ WITH SCORES        │ RETURNED                │
│     75       │     25         │      25            │     25                  │
├──────────────┴────────────────┴────────────────────┴─────────────────────────┤
│  Top 25 AI-Ranked Candidates                                                 │
│                                                                              │
│  #1  ██ 75  AI Engineer @ Middleware · Agentic AI, Apache Airflow · Ahm...   │
│  #2  ██ 71  AI Consultant · Data Science, LLMs, Python · Bangalore...        │
│  #3  ██ 71  ML Engineer · Conversational AI · Bangalore Urban...             │
│  #4  ██ 68  Architect of Autonomous AI · Multi-Agent Systems · Jaipur...     │
│  #5  ██ 66  Senior AI Engineer · Bangalore...                                │
└──────────────────────────────────────────────────────────────────────────────┘

What makes it different:

  • 🧬 Relevancy + Context-driven — ranked by semantic understanding, not keyword count
  • 🤖 Deep Multi-Agent orchestration — specialized agents evaluate each candidate in concert
  • 🕸️ Skill ontology analysis — understands relationships between skills, not just matches
  • 📊 Context-aware scoring — role context, domain depth, team fit all factored in

🤝 Work With Me Linkedin — AI Engineers & Agentic Builders

╔═══════════════════════════════════════════════════════════════════════╗
║                                                                       ║
║   I'm looking for engineers who feel personally offended by:          ║
║                                                                       ║
║   😤  RAG pipelines that retrieve the wrong context                   ║
║   😤  Agents that hallucinate instead of reason                       ║
║   😤  "AI-powered" features that are just regex + LLM wrappers        ║
║   😤  Ontologies maintained in Excel by someone named Dave            ║
║                                                                       ║
║   If you nodded at any of the above — let's build together.           ║
║                                                                       ║
╚═══════════════════════════════════════════════════════════════════════╝

🔬 You build in...

  • Multi-agent orchestration
  • Ontology / Knowledge Graphs
  • Context engineering & RAG
  • LLM fine-tuning & evaluation
  • Agentic AI workflows

⚡ You believe...

  • Relevance beats volume, always
  • Agents should act, not just chat
  • Ontologies should emerge from data
  • Context windows need governance
  • Ship beats perfect, every time

🎯 You want to...

  • Build applied AI that ships
  • Work on hard, real problems
  • Open source with intent
  • Architect AI at product scale
  • Collaborate with other obsessives

📬 Connect & Work With Me

LinkedIn    Email    Website

💡 When you reach out — tell me one thing you've built with agents that surprised even you.


🛸 Open Source — Coming Soon™

 ░▒▓████████▓▒░▒▓█████████▓▒░░▒▓██████▓▒░░▒▓████████▓▒░▒▓███████▓▒░
        ░▒▓█▓▒░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░
      ░▒▓██▓▒░░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░
    ░▒▓██▓▒░  ░▒▓██████▓▒░ ░▒▓████████▓▒░▒▓██████▓▒░ ░▒▓███████▓▒░
  ░▒▓██▓▒░   ░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░
 ░▒▓█▓▒░    ░▒▓█▓▒░       ░▒▓█▓▒░░▒▓█▓▒░▒▓█▓▒░      ░▒▓█▓▒░░▒▓█▓▒░
░▒▓████████▓▒░▒▓████████▓▒░▒▓█▓▒░░▒▓█▓▒░▒▓████████▓▒░▒▓█▓▒░░▒▓█▓▒░

         Two projects so cursed they need a disclaimer before launch.

🧬 The Intelligence Pipeline — In Active Development

┌─────────────────────────────────────────────────────────────────────┐
│                                                                     │
│   THREE FRAMEWORKS. ONE COHERENT INTELLIGENCE STACK.                │
│                                                                     │
│   [Multi-Agent] ──► [Relevancy+ Ont] ──► [Context] ──► Right Talent │
│                                                                     │
└─────────────────────────────────────────────────────────────────────┘

🤖 Framework I — Multi-Agent Orchestration

Dev Paradigm

The insight from building Napplied: When you run a candidate search, you don't need one smart agent — you need a team of specialized agents that reason about delegation, context, and handoffs. We built that. Now we're open-sourcing the framework.

┌──────────────────────────────────────────────────────────────┐
│                  ORCHESTRATION LAYER                         │
│                                                              │
│  ┌──────────┐   ┌───────────┐   ┌────────────────────────┐   │
│  │ Routing  │──▶│ Specialist│──▶│ Episodic Memory Store  │   │
│  │  Agent   │   │  Agents   │   │  (per-agent + shared)  │   │
│  └──────────┘   └───────────┘   └────────────────────────┘   │
│        │               │                    │                │
│        └───────────────┴────────────────────┘                │
│                         │                                    │
│               ┌──────────▼──────────┐                        │
│               │ Relevance Evaluator │  ◀── Ontology Graph    │
│               └─────────────────────┘                        │
└──────────────────────────────────────────────────────────────┘

Design bets:

  • 🎯 Relevance-first routing — agents reason about whether to act, not just how
  • 🔗 Composable primitives — not a framework you fight, one you extend
  • 🧠 Shared + episodic memory — agents remember what matters, forget what doesn't
  • Async-native — synchronous agent orchestration is a distributed systems crime

🤖 Interested in Multi-Agent Framework


🔭 Design Philosophy

Principle What It Means in Practice
🧬 Relevance over volume Don't retrieve everything. Retrieve the right thing, ranked by domain relevancy + ontology
🕸️ Ontology is infrastructure Skill graphs, concept maps, and domain taxonomies are first-class citizens
🤖 Agents that reason about delegation Not just "which agent does this task" — but "should any agent do this at all"
🎯 Context is a product The context window is engineered, not stuffed
Ship, then refine A v0.1 that runs beats a v1.0 in Notion

🛠️ The Stack

Python TypeScript FastAPI LangChain Neo4j OpenAI Vector DB PostgreSQL Redis GCP


🌐 Let's Connect

╔══════════════════════════════════════════════════════╗
║                                                      ║
║   ᶻ𝗓 Napplied — Talent Search & Job Search Agents    ║
║                                                      ║
║   Building where agents meet relevancy meets         ║
║   context meets the real world.                      ║
║                                                      ║
║   If that sounds like your kind of problem —         ║
║   come find me.                                      ║
║                                                      ║
╚══════════════════════════════════════════════════════╝
🌐 napplied.com Main Platform
💼 Md Mahabub Alam LinkedIn
📧 support@napplied.com Direct Email

Visitor Count


Built with obsession. Shipped with intent. Powered by context awareness and ontology framework

About

Profile Page

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors