π Bangalore, India | π€ Agentic builder | π Napplied Founder
Quick Profile Contents ...
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β Startup... β Open Source... β Multi Agent Orchestrations β
β Napplied AI β Coming soon β Build with me β
ββββββββββββββββ΄βββββββββββββββββ΄ββββββββββββββββββββββββββββββββββββ
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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. |
Right Brain β For Recruiters
Left Brain β For Candidates
The Engine
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"Candidate search agents go deep β contextually evaluating the right candidates for the right job"
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β AI-Powered Candidate Search [ Parameter Settings ] [ Relevancy Agents ] β
β Searching best candidates for: AI Engineer β
ββββββββββββββββ¬βββββββββββββββββ¬βββββββββββββββββββββ¬ββββββββββββββββββββββββββ€
β EVALUATED β ANALYZED β WITH SCORES β RETURNED β
β 75 β 25 β 25 β 25 β
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β Top 25 AI-Ranked Candidates β
β β
β #1 ββ 75 AI Engineer @ Middleware Β· Agentic AI, Apache Airflow Β· Ahm... β
β #2 ββ 71 AI Consultant Β· Data Science, LLMs, Python Β· Bangalore... β
β #3 ββ 71 ML Engineer Β· Conversational AI Β· Bangalore Urban... β
β #4 ββ 68 Architect of Autonomous AI Β· Multi-Agent Systems Β· Jaipur... β
β #5 ββ 66 Senior AI Engineer Β· Bangalore... β
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What makes it different:
- 𧬠Relevancy + Context-driven β ranked by semantic understanding, not keyword count
- π€ Deep Multi-Agent orchestration β specialized agents evaluate each candidate in concert
- πΈοΈ Skill ontology analysis β understands relationships between skills, not just matches
- π Context-aware scoring β role context, domain depth, team fit all factored in
π€ Work With Me Linkedin β AI Engineers & Agentic Builders
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β β
β I'm looking for engineers who feel personally offended by: β
β β
β π€ RAG pipelines that retrieve the wrong context β
β π€ Agents that hallucinate instead of reason β
β π€ "AI-powered" features that are just regex + LLM wrappers β
β π€ 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
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π¬ You build in...
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β‘ You believe...
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π― You want to...
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π‘ When you reach out β tell me one thing you've built with agents that surprised even you.
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βββββββββββββ ββββββββββββββββββββ ββββββββββββββ
βββββββββββββββ ββββββββββββββββββββ ββββββββββββββ
ββββββββ ββββββββββββ βββββββββββββββββββββββββ βββββββββββββ
ββββββββ βββββββ ββββββββββββββββββββ ββββββββββββββ
βββββββ βββββββ ββββββββββββββββββββ ββββββββββββββ
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Two projects so cursed they need a disclaimer before launch.
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β β
β THREE FRAMEWORKS. ONE COHERENT INTELLIGENCE STACK. β
β β
β [Multi-Agent] βββΊ [Relevancy+ Ont] βββΊ [Context] βββΊ Right Talent β
β β
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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.
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β ORCHESTRATION LAYER β
β β
β ββββββββββββ βββββββββββββ ββββββββββββββββββββββββββ β
β β Routing ββββΆβ SpecialistββββΆβ Episodic Memory Store β β
β β Agent β β Agents β β (per-agent + shared) β β
β ββββββββββββ βββββββββββββ ββββββββββββββββββββββββββ β
β β β β β
β βββββββββββββββββ΄βββββββββββββββββββββ β
β β β
β ββββββββββββΌβββββββββββ β
β β Relevance Evaluator β βββ Ontology Graph β
β βββββββββββββββββββββββ β
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Design bets:
- π― Relevance-first routing β agents reason about whether to act, not just how
- π Composable primitives β not a framework you fight, one you extend
- π§ Shared + episodic memory β agents remember what matters, forget what doesn't
- β‘ Async-native β synchronous agent orchestration is a distributed systems crime
| Principle | What It Means in Practice |
|---|---|
| 𧬠Relevance over volume | Don't retrieve everything. Retrieve the right thing, ranked by domain relevancy + ontology |
| πΈοΈ Ontology is infrastructure | Skill graphs, concept maps, and domain taxonomies are first-class citizens |
| π€ Agents that reason about delegation | Not just "which agent does this task" β but "should any agent do this at all" |
| π― Context is a product | The context window is engineered, not stuffed |
| β‘ Ship, then refine | A v0.1 that runs beats a v1.0 in Notion |
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β β
β αΆ»π 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
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| π | napplied.com | Main Platform |
|---|---|---|
| πΌ | Md Mahabub Alam | |
| π§ | support@napplied.com | Direct Email |

