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Hi, I'm Md πŸ‘‹

πŸ“ Bangalore, India | πŸ€– Agentic builder | πŸš€ Napplied Founder

         Quick Profile Contents ...
         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
         β”‚ Startup...   β”‚ Open Source... β”‚ Multi Agent Orchestrations        β”‚
         β”‚ Napplied AI  β”‚ Coming soon    β”‚      Build with me                β”‚
         β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Quick Connects

LinkedIn GitHub LinkedIn


NappliedΒ  Context AwareΒ  Agentic


ᢻ𝗓 What is Napplied?

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

Human Intent
     β”‚
     β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚     NAPPLIED AGENT LAYER     β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚Candidate β”‚ β”‚Morpheus AIβ”‚  β”‚
β”‚  β”‚ Search   β”‚ β”‚Interviewerβ”‚  β”‚
β”‚  β”‚  Agent   β”‚ β”‚   Agent   β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”˜  β”‚
β”‚       β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜        β”‚
β”‚    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”‚
β”‚    β”‚  Relevancy Engine  β”‚    β”‚
β”‚    β”‚ + Context Ranking  β”‚    β”‚
β”‚    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
     β”‚
     β–Ό
  Right Fit. Every Time.

🧬 The Product Suite

Right Brain β€” For Recruiters

🎯 Candidate Search Agent Deep multi-agent evaluation
πŸŽ™οΈ Morpheus AI Interviewer Context-aware AI interviews


Left Brain β€” For Candidates

πŸ” 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 β€” meaning
πŸ’Έ Scalable, Fast, Saved Cost E2E talent flow intelligent

Candidate Search Agent β€” Deep Dive

"Candidate search agents go deep β€” contextually evaluating the right candidates for the right job"

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  AI-Powered Candidate Search  [ Parameter Settings ] [ Relevancy Agents ]    β”‚ 
β”‚  Searching best candidates for:  AI Engineer                                 β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ EVALUATED    β”‚ ANALYZED       β”‚ WITH SCORES        β”‚ RETURNED                β”‚
β”‚     75       β”‚     25         β”‚      25            β”‚     25                  β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  Top 25 AI-Ranked Candidates                                                 β”‚
β”‚                                                                              β”‚
β”‚  #1  β–ˆβ–ˆ 75  AI Engineer @ Middleware Β· Agentic AI, Apache Airflow Β· Ahm...   β”‚
β”‚  #2  β–ˆβ–ˆ 71  AI Consultant Β· Data Science, LLMs, Python Β· Bangalore...        β”‚
β”‚  #3  β–ˆβ–ˆ 71  ML Engineer Β· Conversational AI Β· Bangalore Urban...             β”‚
β”‚  #4  β–ˆβ–ˆ 68  Architect of Autonomous AI Β· Multi-Agent Systems Β· Jaipur...     β”‚
β”‚  #5  β–ˆβ–ˆ 66  Senior AI Engineer Β· Bangalore...                                β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

What makes it different:

  • 🧬 Relevancy + Context-driven β€” ranked by semantic understanding, not keyword count
  • πŸ€– Deep Multi-Agent orchestration β€” specialized agents evaluate each candidate in concert
  • πŸ•ΈοΈ Skill ontology analysis β€” understands relationships between skills, not just matches
  • πŸ“Š Context-aware scoring β€” role context, domain depth, team fit all factored in

🀝 Work With Me Linkedin β€” AI Engineers & Agentic Builders

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

πŸ”¬ 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

πŸ“¬ Connect & Work With Me

LinkedIn Β Β  Email Β Β  Website

πŸ’‘ When you reach out β€” tell me one thing you've built with agents that surprised even you.


πŸ›Έ Open Source β€” Coming Soonβ„’

 β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘
        β–‘β–’β–“β–ˆβ–“β–’β–‘β–’β–“β–ˆβ–“β–’β–‘      β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘β–’β–“β–ˆβ–“β–’β–‘      β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘
      β–‘β–’β–“β–ˆβ–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘      β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘β–’β–“β–ˆβ–“β–’β–‘      β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘
    β–‘β–’β–“β–ˆβ–ˆβ–“β–’β–‘  β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘ β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘ β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘
  β–‘β–’β–“β–ˆβ–ˆβ–“β–’β–‘   β–‘β–’β–“β–ˆβ–“β–’β–‘      β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘β–’β–“β–ˆβ–“β–’β–‘      β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘
 β–‘β–’β–“β–ˆβ–“β–’β–‘    β–‘β–’β–“β–ˆβ–“β–’β–‘       β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘β–’β–“β–ˆβ–“β–’β–‘      β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘
β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘β–’β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–’β–‘β–’β–“β–ˆβ–“β–’β–‘β–‘β–’β–“β–ˆβ–“β–’β–‘

         Two projects so cursed they need a disclaimer before launch.

🧬 The Intelligence Pipeline β€” In Active Development

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                                                                     β”‚
β”‚   THREE FRAMEWORKS. ONE COHERENT INTELLIGENCE STACK.                β”‚
β”‚                                                                     β”‚
β”‚   [Multi-Agent] ──► [Relevancy+ Ont] ──► [Context] ──► Right Talent β”‚
β”‚                                                                     β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ€– Framework I β€” Multi-Agent Orchestration

Dev Paradigm

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

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                  ORCHESTRATION LAYER                         β”‚
β”‚                                                              β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”   β”‚
β”‚  β”‚ Routing  │──▢│ Specialist│──▢│ Episodic Memory Store  β”‚   β”‚
β”‚  β”‚  Agent   β”‚   β”‚  Agents   β”‚   β”‚  (per-agent + shared)  β”‚   β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜   β”‚
β”‚        β”‚               β”‚                    β”‚                β”‚
β”‚        β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                β”‚
β”‚                         β”‚                                    β”‚
β”‚               β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                        β”‚
β”‚               β”‚ Relevance Evaluator β”‚  ◀── Ontology Graph    β”‚
β”‚               β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                        β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Design bets:

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

πŸ€– Interested in Multi-Agent Framework


πŸ”­ Design Philosophy

Principle What It Means in Practice
🧬 Relevance over volume Don't retrieve everything. Retrieve the right thing, ranked by domain relevancy + ontology
πŸ•ΈοΈ Ontology is infrastructure Skill graphs, concept maps, and domain taxonomies are first-class citizens
πŸ€– Agents that reason about delegation Not just "which agent does this task" β€” 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

πŸ› οΈ The Stack

Python TypeScript FastAPI LangChain Neo4j OpenAI Vector DB PostgreSQL Redis GCP


🌐 Let's Connect

╔══════════════════════════════════════════════════════╗
β•‘                                                      β•‘
β•‘   ᢻ𝗓 Napplied β€” Talent Search & Job Search Agents    β•‘
β•‘                                                      β•‘
β•‘   Building where agents meet relevancy meets         β•‘
β•‘   context meets the real world.                      β•‘
β•‘                                                      β•‘
β•‘   If that sounds like your kind of problem β€”         β•‘
β•‘   come find me.                                      β•‘
β•‘                                                      β•‘
β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
🌐 napplied.com Main Platform
πŸ’Ό Md Mahabub Alam LinkedIn
πŸ“§ support@napplied.com Direct Email

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