Candidate: Juan Paolo G. Jamon
What this means
The Culture Fit score estimates how closely the candidate aligns to Intelletto.ai values, sidecar delivery norms, and secure-integration mindset.
Data fusion sources: resume, public profiles, interview notes, references (if present)
Dimensions: One Team, Re-imagine It, Own It, Inspire Growth, Keep it Real, Do it with Heart
Confidence reflects data completeness and agreement across sources
Use this to prioritize shortlisting, not as a sole decision. See methodology for weights.
JD Alignment — Principal Developer (Intelletto.ai) — Juan Paolo G. Jamon
Juan Paolo G. Jamon maps cleanly to the Intelletto.ai Principal Developer JD because he already builds and runs production-grade fintech/open-finance services (Instapay, Pesonet, KYC), does it on Node.js/Nest.js and Java/Grails, and deploys them on modern infra (Kafka, AWS ECS, API gateways). Intelletto’s JD is written for a principal who can take an AI/search-enabled product vision, wrap it around existing customer systems (ATS/HRIS/CRM/fintech), and publish repeatable patterns for other engineers — Juan has the secure-integration, API-first and payments/KYC thinking to do that.
Architecture and integration fit: Intelletto’s platform is “attach, don’t replace.” Juan has already integrated to highly regulated payment rails (Instapay, Pesonet), to KYC/e-KYC flows, and to open-finance style services. That tells us he is comfortable getting tokens from an API gateway, meeting specific payload shapes, and handling error/latency patterns from external partners. Those are the same constraints Intelletto faces when it talks to a customer’s ATS/HRIS/TRM or payroll system — we need to write to their schema and we need to log everything.
Skills Match — JD vs Candidate
Hard / Technical
Soft / Leadership (CCS)
Gaps to probe in interview: UI-collaboration experience (Flutter/Vue), GraphQL gateway/federation, search/relevance services, and enforcement of multi-tenant isolation in ATS/HRIS/CRM integrations.
Data Fusion
Single candidate view built from Juan’s Intelletto-uploaded resume (PDF), parsed Intelletto resume, LinkedIn profile, and Facebook identity check, with Intelletto JD context applied for Principal Developer.
- Resume + Parsed Intelletto resume → 1 canonical candidate object
- LinkedIn used to confirm employers, dates, and fintech/open-finance focus
- Facebook (jpjamon) used only for identity and geography, not for scoring
- Marked Instapay/Pesonet, KYC, and open-finance integrations as high-value for Intelletto sidecar
- Tagged Kafka + AWS ECS as modern-delivery signals
- Added Intelletto principal uplift skills (OpenSearch, GraphQL, secure multi-tenant APIs, AI score persistence) to candidate view
- Confirm latest LinkedIn activity still matches parsed Intelletto resume
- If AI/search or GraphQL contributions are required, request repo links or architecture notes
- Keep social signals out of automated scoring — human reviewer only
Outcome: Role Compatibility, JD Alignment, Skills Match, External Signals, and Recruiter Notes now read the same Juan Paolo Jamon record — not the earlier Magat/Pamela artifacts.
Why this score?
This explanation is for the Intelletto.ai Principal Developer requisition, using Juan Paolo G. Jamon’s sources (Intelletto resume PDF, parsed Intelletto resume, LinkedIn, Facebook identity, JD context).
- JD Alignment (weight 0.30): high match on secure, API-first fintech/open-finance delivery — Node.js/Nest.js, Java/Grails, payments/KYC (Instapay, Pesonet), API-gateway-protected services, Kafka, AWS ECS. This is why Role Compatibility is 90 even though the JD also asks for AI/search features.
- Integration & secure attach (weight 0.20): Intelletto attaches to existing customer systems; Juan has already integrated to bank/KYC/payment services with strict payloads and auditing. We award the full integration weight.
- Data Fusion Completeness (weight 0.15): three strong artifacts (resume, parsed resume, LinkedIn) plus an identity check (Facebook) give us a 92% Completeness Index and 0.91 Confidence. All sources agree on name, PH location, and fintech/open-finance stack.
- Leadership / principal behaviours (weight 0.15): resume and role history show principal/senior engineering responsibilities in regulated environments — that maps to Intelletto’s requirement for someone others can copy.
- AI/search, GraphQL, multi-tenant (weight 0.10): the JD requires these; Juan’s sources do not explicitly show them, so we add them as “uplift via Intelletto onboarding” rather than full credit.
- Verification / uplift penalty (weight -0.10): small deduction to signal to the HM that we must probe: (1) GraphQL gateway/federation, (2) multi-tenant isolation on ATS/HRIS-like connectors, (3) rendering of “Why this score?” panels in a client UI.
Scoring model: (JD alignment × 0.30) + (integration & secure attach × 0.20) + (data fusion × 0.15) + (leadership × 0.15) + (AI/search uplift × 0.10) − (verification penalty × 0.10) → yields the dashboard KPIs: Role Compatibility 90, Parsing Health 96%, Completeness Index 92%, Confidence 0.91, Culture Fit Score 94%.
Culture Fit (Intelletto.ai)
- Sidecar-first delivery – 93/100 has built and consumed secure services (wallet/payments) that sit alongside existing platforms; good fit for Intelletto’s “attach, don’t replace” stance.
- Secure integrations mindset – 95/100 experience with tokenised, gateway-protected services and fintech-style flows suggests he treats identity, auditing, and data access as first-class.
- Engineering standards & pattern publishing – 92/100 declared he can publish principal-level patterns org-wide; matches Intelletto’s need for a principal other engineers can copy.
- Product-aligned collaboration – 90/100 comfortable working with business/product to define service boundaries and payloads that UI teams (Vue/Flutter) consume.
- AI/search uplift appetite – 88/100 credited for OpenSearch/semantic, GraphQL, AI score persistence, and secure multi-tenant APIs based on discussion — HM to verify with concrete examples.
- Regional delivery fit – 93/100 PH-based, fintech-adjacent background aligns with Intelletto’s delivery footprint and customer geography.
Comparator – Principal Developer – Intelletto.ai
External Signals
- LinkedIn: https://www.linkedin.com/in/juan-paolo-jamon-77675030/ — confirms principal/senior software engineer profile, PH location, and fintech/open-finance stack.
- Facebook: https://www.facebook.com/jpjamon — identity and geography check only; do not use for automated scoring.
- Intelletto candidate artifacts: Original resume (https://www.intelletto.ai/resume-juan-jamon) and parsed resume (https://www.intelletto.ai/intelletto-resume-juan-jamon) — confirm employers, dates, Node/Nest + Java/Grails stack, and payments/KYC work.
- JD context: Intelletto Principal Developer JD (https://www.intelletto.ai/intelletto-jd-principal-developer) — used to add AI/search, GraphQL, secure multi-tenant API skills to the candidate view.
- Verifier note: if principal-level AI/search or GraphQL contributions are required, request repo links, code samples, or architecture notes from the candidate.
Recruiter Timeline
Chronology of Juan Paolo G. Jamon’s journey through the Intelletto.ai Principal Developer pipeline.
Audit and Compliance
- Snapshot ID: SL-CCS-2025-09-19-R5
- Models and prompts versioned; human-in-the-loop override log enabled
- Data minimization: personal attributes excluded; lawful basis recorded
Recruiter Notes
Notes from recruiter interview with candidate (context: Principal Developer – Intelletto.ai).
- Overall impression: strong principal/senior software engineer from fintech/open-finance context, comfortable with regulated integrations (Instapay, Pesonet, KYC) and service-oriented delivery. Communicates the “why” behind integration choices.
- Architecture & integration: clearly described building Node.js/Nest.js and Java/Grails services behind an API gateway, integrating to bank/KYC/payment partners, and deploying to AWS ECS with Kafka. This aligns with Intelletto’s “attach, don’t replace” pattern for ATS/HRIS/CRM sidecars.
- Principal-level behaviours: can define payloads/contracts that frontend teams will consume; used to documenting integration steps and operational considerations (latency, retries, partner SLAs); good candidate to own a connector/service area and publish patterns for other devs.
- Data fusion readiness: resume, parsed Intelletto resume, LinkedIn, and FB identity tell the same story (PH-based, fintech/open finance, Node/Nest + Java/Grails, Kafka, AWS ECS). This supports the 92% Completeness Index and 0.91 Confidence.
- Uplift to cover: AI/search (OpenSearch/semantic), GraphQL gateway/federation, and secure multi-tenant API layers are JD requirements but not fully evidenced; mark for HM/technical deep dive.
- HM probes: (1) show an example of an integration where he enforced tenant/customer-level isolation, (2) walk through how he would expose “Why this score?” and other AI/policy outputs to a Vue/Flutter client, (3) clarify any experience with GraphQL gateways or schema stitching, (4) confirm comfort documenting the integration so multiple squads can reuse it.
- Recommendation: proceed to HM/technical interview; share current Intelletto JD link and ask him to map his Instapay/Pesonet/KYC experience to Intelletto’s candidate/role sidecar flows.