Intelletto.ai - Sidecar Lens (Candidate Dashboard)

Candidate: Jonathan Joaquin

Senior Software Developer / Development Lead ASP.NET MVC • C# • Node.js • React • Flutter • Azure DevOps • Credit Scoring Tanza, Cavite, Philippines

Culture Fit

for Intelletto.ai

Purpose: quick signal to prioritize candidate review.

Methodology

JD Facebook Profile LinkedIn Profile Original Resume Parsed Resume Status: Longlist – Principal Developer (Joaquin)

Role Compatibility Score

Fit for Principal Developer at "Intelletto.ai"

Parsing Health

96%

PDF + parsed Intelletto resume aligned

Completeness Index

92%

After Data Fusion enrichment incl. FB identity

Confidence

0.91

Model certainty (0 to 1)

JD Alignment — Principal Developer (Intelletto.ai) — Jonathan Joaquin

Jonathan Joaquin aligns with the Intelletto.ai Principal Developer JD because he has delivered enterprise-grade web and service applications across ASP.NET MVC/C#, Node.js, and modern SPA stacks (React/Knockout), and has operated as a development lead in a fintech/credit-scoring/loan-marketplace environment. The Intelletto JD calls for a principal who can turn AI-enabled, sidecar-style product requirements into reference implementations that other engineers can copy. Joaquin already works in regulated, integration-heavy contexts and is used to defining payloads, enforcing security, and collaborating with business stakeholders.

Architecture and integration fit: Intelletto’s platform is “attach, don’t replace” — we extend or wrap a customer’s ATS/HRIS/CRM/fintech system with sidecar services. Joaquin’s background in credit scoring and loan marketplace work shows he is familiar with consuming partner APIs, validating and transforming data, and surfacing results to frontends built in React/Knockout/Flutter. That maps directly to Intelletto’s need to call out to customer systems, receive structured data, and render it into explainable panels for recruiters and line managers.

Applications / services development depth: the JD expects a principal who will give mobile/SPA teams (Flutter, Vue, React) stable JSON shapes for role compatibility, parsing health, completeness, confidence, and other AI outputs. Joaquin has already delivered SPAs on React/Knockout and server-side experiences on ASP.NET MVC/C#. He can define controllers/services, express them as REST endpoints, and keep those contracts backward compatible as Intelletto adds new AI dimensions.

Security and identity: fintech and credit-scoring work require strong identity, auditability, and careful handling of PII. Intelletto’s principal JD stresses secure multi-tenant API layers, traceable AI/agent calls, and safe write-backs to customer systems. Joaquin can extend his existing security practice (authN/authZ, validation, logging) with Intelletto’s standards for automated actions (auto-enrich, auto-shortlist, auto-schedule) so every AI action is logged and explainable.

AI/search & data services (uplift): the Intelletto JD adds OpenSearch/semantic, score persistence, and recruiter-facing explainability. Joaquin’s resume is stronger on enterprise web, SPA, C#, Node.js, and Azure DevOps than on search/relevance, so we mark this area as “train and adopt.” Because he is already running CI/CD and cloud-native delivery, calling Intelletto’s AI/search microservices, persisting their rationales, and exposing them to the UI is a straightforward pattern for him.

Leadership and enablement: Joaquin has been a development lead — this matches the JD’s desire for a principal “others can copy.” At Intelletto he can own a slice of the sidecar platform (e.g. candidate data views, recruiter dashboards, or connector services) and publish the patterns so parallel squads (mobile, AI/search, integration) can plug in without re-inventing security or payloads.

What to probe in interview: (1) concrete example where he enforced tenant/customer-level isolation in an API built on ASP.NET/Node, (2) example of integrating to a credit/loan/fintech partner where he had to produce operational dashboards or logs, (3) current familiarity with GraphQL gateway/federation and OpenSearch/semantic, and (4) experience exposing AI or rules-based scores to React/Flutter/Knockout UIs.

Overall alignment signal: High-moderate. Joaquin brings enterprise ASP.NET/Node.js/SPA delivery and fintech-style integrations. With targeted enablement on Intelletto’s AI/search, GraphQL, and multi-tenant conventions, he can operate at Principal Developer level.

Skills Match — Hard and Soft Skills

Green = in JD and candidate, Blue = candidate only, Red = in JD but missing/weak in candidate

JD proficiency: FND WRK PRO ADV EXP

All skills from JD and candidate are shown as pills. Color shows source/coverage: Green = in JD and candidate, Blue = candidate only, Red = in JD but missing/weak in candidate. Columns below are by skill type (Hard vs Soft).

Hard Skills

ASP.NET MVC / C# Node.js / API services React / Knockout SPA Flutter (mobile) Azure DevOps / CI/CD Fintech / credit-scoring APIs API-first / sidecar-style integrations OpenSearch / semantic / vector search GraphQL gateway / federation AI score persistence & explainability Secure multi-tenant API layers Loan marketplace domain SPA + mobile in same squad

Soft Skills

Technical communication Collaboration with product / credit Problem solving in regulated flows Development lead / pattern owner Running large UI/front-end chapters Client / partner coordination

Use red pills as interview probes; use blue pills to highlight candidate’s additional value not requested in the JD.

Data Fusion

Single candidate view built from multiple artifacts (resume versions, public profiles, recommendations, internal system data) with normalization and trust scoring — so Intelletto.ai reviewers see one clean record, not five partial ones.

Unified Candidate

Merged Original Resume, Parsed Resume, and LinkedIn into one canonical record, resolving minor differences in role naming (Senior Developer vs Development Lead).

Taxonomy Mapping

Normalised to Singapore-style skills: Applications Development (Web/Mobile), Software Design & Architecture, Applications Integration (fintech/credit-scoring APIs).

Enrichment

Tagged credit scoring & loan marketplace as high-value for Intelletto’s “attach, don’t replace” model; marked Azure DevOps and SPA + Flutter as signals of modern delivery.

Trust

High — sources agree on identity, career arc, and fintech scope.

Resume + Parsed Intelletto resume → 1 canonical candidate object
LinkedIn used to confirm employers, dates, and web/service tech focus
Facebook (joaquinsandmarias) used only for identity and geography, not for scoring

Marked ASP.NET MVC/C#, Node.js, React/Knockout SPA, and Flutter as delivery strengths
Added Intelletto principal uplift skills (OpenSearch, GraphQL, secure multi-tenant APIs, AI score persistence) to candidate view
Mapped credit/loan marketplace integrations to “Applications Integration (secure, partner)”

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: one reliable candidate object that downstream scoring (JD alignment, skills pills, culture heatmap) can consume without re-parsing.

Why this score?

JD Alignment (weight 0.30): High match on enterprise web/service delivery — ASP.NET MVC/C#, Node.js, React/Knockout SPA, Flutter.
Integration & secure attach (weight 0.20): Joaquin has already integrated to fintech/credit-scoring/loan-marketplace services with strict payloads and auditing.
Data Fusion Completeness (weight 0.15): 92% Completeness Index. All sources agree on name, PH location, and fintech/credit-scoring stack.
Leadership / principal behaviours (weight 0.15): Resume and role history show principal/senior engineering responsibilities in regulated environments.
AI/search, GraphQL (weight 0.10): The JD requires these; Joaquin’s sources do not explicitly show them, so we add them as “uplift via Intelletto onboarding” rather than full credit.
Verification penalty (weight -0.10): Deduction to signal to the HM that we must probe GraphQL and multi-tenant isolation.

Methodology: weighted blend aligned to Intelletto.ai values; signals fused from resume, public profiles, and recommendations; confidence upweighted by cross-source agreement.

Culture Fit at Intelletto.ai

Sidecar-first delivery - 93/100 credit scoring loans
Secure integrations - 95/100 partner gateways fintech
Engineering standards - 92/100 patterns CI/CD
Product collaboration - 90/100 boundaries payloads
AI/search uplift - 88/100 open search explainability
Regional delivery fit - 93/100 fintech PH based

Comparator - Principal Developer (Intelletto.ai)

Non-negotiables

ASP.NET MVC/C# or Node.js service delivery; API-first design for SPA/mobile; secure fintech/credit integrations; willingness to adopt Intelletto’s AI/search conventions.

Preferred

Experience delivering attach/sidecar modules beside existing loan/credit/CRM systems; Azure DevOps-based CI/CD; stable service contracts for dashboards.

Gap prompts

Concrete examples of AI explainability panels, OpenSearch/vector implementations, GraphQL gateway/federation, and enforcement of secure multi-tenant API rules.

External Signals

LinkedIn: Confirms senior software developer / development lead profile, PH location, and web/service stack.
Facebook: Identity and geography check only; do not use for automated scoring.
Intelletto candidate artifacts: Original resume and parsed resume confirm employers, dates, fintech/credit-scoring work, and SPA + mobile delivery.

Recruiter Timeline

Today

Moved to Longlist – Principal Developer (Joaquin) after dashboard refresh.

-1d

Recruiter discussion completed; candidate confirmed ASP.NET MVC/C#, Node.js, React/Knockout, Flutter.

-2d

Data Fusion pass completed; single candidate view generated; trust set to High.

-3d

JD Alignment rewritten to “Principal Developer (Intelletto.ai) — Jonathan Joaquin”.

-5d

Candidate sourced/ingested into pipeline for Principal Developer role.

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: senior/principal-calibre web and services engineer with fintech/credit-scoring exposure. Comfortable describing how he structured ASP.NET MVC/C# and Node.js backends for SPA/mobile clients.
Architecture & integration: described integrating to credit/loan/fintech-style partners (score retrieval, application updates, customer data). This aligns with Intelletto’s “attach, don’t replace” connectors.
Frontend collaboration: has built React/Knockout SPAs and used Flutter, so he understands why we need stable JSON for scorecards and data-fusion views — good match for Intelletto’s recruiter dashboards.
Delivery & DevOps: Azure DevOps experience suggests he can version services, set up CI/CD, and publish patterns other engineers can copy.
Data fusion readiness: Intelletto resume, parsed resume, LinkedIn, and FB identity all tell the same story (PH-based, ASP.NET/C#, Node.js, SPA, Flutter, fintech/credit-scoring).
Uplift to cover: AI/search (OpenSearch/semantic), GraphQL gateway/federation, and secure multi-tenant API layers are JD requirements but not explicitly evidenced in public artifacts.
HM probes: (1) ask for a concrete example of tenant/customer isolation in ASP.NET/Node, (2) ask how he would expose Intelletto’s scores to a React/Flutter client.
Recommendation: proceed to HM/technical interview; send Intelletto JD link and ask him to map his credit-scoring/loan marketplace experience to Intelletto’s candidate/role sidecar flows.

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