Intelletto.ai - Sidecar Lens (Candidate Dashboard)

Candidate: Pam Dema

Principal / Lead Mobile & Web Developer Flutter • Vue.js • Java/Spring • Fintech Integrations 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

Role Compatibility Score

Fit for Principal Developer at Intelletto.ai

Parsing Health

97%

Resume + VisualCV parsed with minor normalisation

Completeness Index

94%

Resume + LinkedIn + training certificate

Confidence

0.92

Source agreement across 3 artifacts

JD Alignment — Principal Developer (Intelletto.ai)

Pam Dema maps strongly to the Intelletto.ai Principal Developer JD because she already builds and leads production mobile and web experiences in fintech-grade environments, and she does it using clean, repeatable patterns. The JD asks for someone who can take a defined product vision and turn it into reference implementations that other engineers can copy. Pam has already done this at UBX: she delivered consumer banking and superapp-style projects, set UI/front-end standards, and mentored 20+ engineers to use those standards. That is the “codify so others can deliver in parallel” behaviour the JD is written for.

Architecture and integration fit: the Intelletto JD leans on sidecar thinking — services that attach to ATS/HRIS/CRM stacks without forcing a re-platform. Pam’s resume shows repeated integrations with external and secured platforms: Keycloak for authN/authZ, payment gateways, 7-Eleven CLiQQ, microfinance systems, and e-KYC via YOTI. That tells us she is comfortable building against someone else’s domain, handling tokens/headers, and designing front-ends that expect latency and schema differences. For Intelletto, which will routinely talk to ATS, TRM, TOP, or customer HR systems, this is exactly the experience to preserve.

Applications development depth: Pam’s stack spans Android, iOS, Flutter (with Clean Architecture and GetX), Vue.js for dashboards, plus Java/Spring Boot and Grails/Groovy on the backend. That gives her full-path visibility from API contract → UI rendering → store deployments. The JD calls for a principal who can work with frontend teams to keep JSON shapes stable and who can tell backend teams what the mobile experience needs — she has done both. Because her Flutter training was “Beyond the Basics with Clean Architecture” (UBX, 2022), she can take Intelletto’s design system and create starter templates that match your card-based, teal/gold UI language.

Security and identity: Intelletto’s principal JD stresses secure, auditable calls into customer systems, often under different identity providers. Pam already integrated Keycloak into company applications and exposed secure payment and wallet flows. That qualifies her for implementing the “safe connector” side of Intelletto — the code that talks to a customer ATS/HRIS and writes back scoring or interview outcomes without risking cross-tenant leakage. We should still extend her with your standard for guardrails on automated/agentic actions, but the mental model is there.

AI/search enablement (uplift area): your JD adds OpenSearch/semantic, score persistence, and explainability because Intelletto features must tell recruiters and hiring managers why a candidate was surfaced. Pam’s current resume does not list OpenSearch or vector search explicitly, so we mark this as “train and extend.” The good news is that her experience building monitoring dashboards and working with Kafka/GCP/AWS means she is already comfortable in evented, observable environments. Teaching her to consume Intelletto’s AI/search microservices and to surface “Why this score?” panels in Flutter or Vue.js is a straight, incremental step.

Leadership and mentoring: the JD wants a principal who can raise the bar for other engineers. Pam led and managed 20+ software engineers, ran brown-bag sessions, did technical hiring interviews, and enforced front-end standards across the company. That is stronger than an individual-contributor-only profile. At Intelletto.ai this translates to: she can take the principal developer guidelines (naming, folder structure, GraphQL consumption rules, secure fetch wrappers) and roll them out to other devs without slowing down the feature stream.

What to probe in interview: (1) depth of experience with explainable AI outputs (storing rationales, score components), (2) experience with multi-tenant isolation rules at the API layer, and (3) comfort contributing to GraphQL federation/gateway code. These are Intelletto-specific differentiators and will tell us how quickly she becomes productive on the AI/talent sidecar modules.

Overall alignment signal: High. Pam already does secure, multi-integration mobile/web delivery in fintech, leads engineers, and works from clean architecture patterns. With targeted enablement on Intelletto’s AI/search, GraphQL, and data-fusion conventions, she fits the role intent for Principal Developer.

Skills Match — JD vs Candidate

Pill legend: Green = in JD and candidate, Blue = in candidate only, Red = in JD but missing in candidate

Hard / Technical

Advanced Flutter Android & iOS App Dev Vue.js / Dashboards Java / Spring Boot services Grails / Groovy (wallet, payments) REST API design & consumption Keycloak IAM integration Payments / Wallet / e-KYC (YOTI) White-label / superapp repo pattern CI/CD & Git-based delivery Consumer & digital banking domain Microfinance & CLiQQ integration GCP / AWS exposure OpenSearch / Semantic / Vector search GraphQL gateway / federation AI score persistence & explainability Secure multi-tenant API layers

Soft / Leadership (CCS)

Communication (cross-functional) Collaboration (PM, Design, QA) Problem Solving & Critical Thinking Developing People / Mentoring (20+ engineers) Learning Agility / Multi-stack Customer / service orientation Distributed team collaboration (PH locations) Brown-bag / knowledge sharing facilitation Executive stakeholder management (C-level) Formal AI-governance / DEI reporting

Gaps to probe in interview: hands-on OpenSearch/semantic experience; GraphQL federation contributions; experience enforcing secure multi-tenant API rules; and whether she has delivered AI explainability panels inside mobile/web apps.

Data Fusion

Single candidate view built from Pam’s Intelletto-parsed resume, original VisualCV resume, LinkedIn profile, and UBX “Flutter – Beyond the Basics with Clean Architecture” training certificate, with light public-profile checks to confirm identity and timeline.

Unified Candidate

Merged Original Resume (intelletto.ai/resume-pamela-demafeliz), Parsed Resume (intelletto.ai/intelletto-resume-pamela-demafeliz), and LinkedIn (linkedin.com/in/pamelademafeliz/) into one canonical record, resolving minor title and stack wording differences.

Taxonomy Mapping

Normalised to Singapore-friendly skills: Applications Development (Mobile/Web), Software Design & Architecture, Applications Integration (payments, Keycloak, e-KYC), IAM, plus Intelletto principal add-ons (OpenSearch, GraphQL, secure multi-tenant APIs).

Enrichment

Added evidence of advanced Flutter from UBX 2022 training; flagged fintech-grade integrations (CLiQQ, Payconnect, YOTI) as high-value signals for Intelletto’s sidecar model.

Trust

High — dates, employers, and core tech stack match across resume, parsed resume, and LinkedIn; certificate date sits cleanly in employment history.

Resume + Parsed Intelletto resume → 1 canonical candidate object
LinkedIn used to confirm employer names, dates, and mobile/web focus
Facebook (maple.pam) used only for identity/name consistency, not for scoring

Marked “Advanced Flutter” as org-approved skill (UBX training 2022)
Tagged Keycloak, payments, and e-KYC as integration strengths
Added Intelletto principal uplift skills (OpenSearch, GraphQL, secure multi-tenant APIs) to candidate view

Confirm latest LinkedIn activity still matches parsed profile
For AI/search delivery examples, request code samples or project briefs
Keep Facebook signals out of automated scoring — human reviewer only

Outcome: Role Compatibility, JD Alignment, Skills Match, and Recruiter Notes all read the same Pam record — no re-parsing or guessing which source is correct.

Why this score?

This explanation is for the Intelletto.ai Principal Developer requisition.

JD Alignment (weight 0.30): strong match on mobile/web delivery, Flutter with Clean Architecture, Vue.js dashboards, Java/Spring, and secure fintech integrations (payments, e-KYC, Keycloak). This drives the Role Compatibility Score up to the low 90s.
Integration & IAM (weight 0.20): direct experience with Keycloak, payment gateways, and partner systems shows she can attach to customer stacks, which is central to Intelletto’s sidecar model.
Data Fusion Completeness (weight 0.15): three reliable artifacts (original resume, parsed Intelletto resume, LinkedIn) plus a UBX training certificate give us a 94% Completeness Index and 0.92 Confidence.
Leadership & Standards (weight 0.15): she has led and mentored 20+ engineers, set front-end/UI standards, and run brown-bag sessions — this matches the “principal who others can copy” pattern.
AI / Search Uplift Required (weight -0.10): Intelletto expects OpenSearch/semantic, score persistence, and GraphQL federation contributions. She now reports having exposure to these, but because they are less evidenced in public artifacts, we keep a small deduction and tag for HM probing.
Environment Fit (weight 0.10): prior fintech and consumer banking work in the Philippines aligns with Intelletto’s regional delivery model and customer profile.

Scoring model: (JD alignment × 0.30) + (integration/IAM × 0.20) + (completeness × 0.15) + (leadership × 0.15) + (environment fit × 0.10) − (uplift penalties × 0.10). This produces the current dashboard KPIs: Role Compatibility 91, Parsing Health 97%, Completeness Index 94%, Confidence 0.92.

Culture Fit (Intelletto.ai)

Sidecar-first delivery – 94/100 builds features that sit beside existing systems (Keycloak, payments, microfinance), not force-migrate; good fit for Intelletto’s “attach, don’t replace” stance.
Secure integrations mindset – 95/100 repeated use of Keycloak, API gateway, e-KYC, and payment flows indicates she treats identity and data access as first-class.
Engineering standards & mentoring – 97/100 led 20+ engineers, ran brown bags, and enforced front-end/UI standards in UBX; this is exactly the principal-level enablement we want.
Product-aligned collaboration – 92/100 collaborated with PM, designers, and QA to ship banking/superapp experiences, so she can work with Intelletto product/AI squads.
AI/search uplift appetite – 88/100 no public OpenSearch/vector project listed, but resume plus follow-up discussion says she is open to adopt Intelletto’s AI/search conventions.
Regional delivery fit – 93/100 Philippines-based fintech and consumer apps background matches Intelletto’s delivery centres and customer geography.

Comparator – Principal Developer – Intelletto.ai

Non-negotiables

Advanced Flutter / mobile + Vue.js web delivery; secure integrations (Keycloak, payments, e-KYC); able to codify clean-architecture patterns for other engineers; willing to adopt Intelletto’s AI/search and GraphQL conventions.

Preferred

Exposure to recruitment / HR-tech or fintech-superapp contexts; experience delivering attach/sidecar modules beside ATS/HRIS/CRM; comfort with Singapore-style skills normalisation.

Gap prompts

Ask for concrete examples of AI explainability panels, OpenSearch/vector implementations, and enforcement of secure multi-tenant API rules in production.

External Signals

LinkedIn: https://www.linkedin.com/in/pamelademafeliz/ — confirms fintech/mobile/web focus and UBX tenure.
Facebook: https://www.facebook.com/maple.pam — used only for identity/name consistency, not for scoring.
UBX Flutter Training Certificate (Sept 23, 2022): “Flutter – Beyond the Basics with Clean Architecture” — supports “Advanced Flutter” skill.
Intelletto candidate artifacts: Original resume and parsed resume at intelletto.ai endpoints — confirm dates, employers, and stack.
Verifier note: if hiring manager needs AI/search portfolio, request code samples or a short project brief.

Recruiter Timeline

Chronology of Pamela’s journey through the Intelletto.ai Principal Developer pipeline, showing when each artifact was ingested and when alignment was confirmed.

Today

Status set to Longlist – Principal Developer after dashboard refresh (JD alignment, Skills Match, Data Fusion, Recruiter Notes all updated to Pam-specific sources).

-1d

Recruiter interview completed; candidate confirmed exposure to OpenSearch / semantic, GraphQL gateway / federation, and secure multi-tenant API layers; gaps flagged for HM.

-2d

Data Fusion pass completed — merged Original Resume, Parsed Intelletto Resume, LinkedIn, and UBX 2022 Flutter certificate; Completeness Index computed at 94% and Confidence at 0.92.

-3d

JD Alignment rewritten from “CTO / ChangeAI” to “Principal Developer (Intelletto.ai)” and mapped to Singapore-normalised skill sets.

-4d

External Signals collected (LinkedIn, Facebook identity check, intelletto.ai resume endpoints) and linked to candidate card.

-5d

Candidate first ingested into pipeline for technical/engineering role; re-routed to Intelletto.ai Principal Developer requisition after skills review.

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 mobile/web principal profile with fintech-grade integrations. Confident explaining how she set UI/front-end standards and mentored 20+ engineers at UBX; this matches Intelletto’s need for a principal who others can copy.
Architecture & integration: clear on integrating with Keycloak, payment gateways, e-KYC (YOTI), and API gateway–protected services. This directly supports Intelletto’s “attach, don’t replace” pattern for ATS/HRIS/TRM/TOP connectors.
AI/search uplift: candidate confirmed exposure to OpenSearch/semantic, GraphQL gateway/federation, and secure multi-tenant API layers; recommends structured onboarding to Intelletto’s AI/search conventions so she can render “Why this score?” panels from your microservices.
Data fusion readiness: her resume, parsed resume, LinkedIn, and UBX Flutter 2022 certificate tell a consistent story (PH-based, fintech, mobile + web, clean architecture). This is why Completeness Index is 94% and Confidence is 0.92.
People & delivery: described running brown bags, enforcing front-end standards, and interviewing engineers. Good fit for Intelletto’s parallel teams model (multiple miniapps/microfrontends progressing at once).
HM probes: (1) ask for a concrete example of implementing explainable scoring/AI panels in a mobile or Vue.js app, (2) ask for a project where she enforced tenant isolation at API level, (3) ask for a time she had to optimise or observe a service (logs, metrics, traces) in production.
Recommendation: proceed to HM/technical round; share current Intelletto JD link and ask her to walk through how she would expose Role Compatibility, Parsing Health, Completeness, and Confidence from a Flutter/Vue client consuming GraphQL/REST.