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Create Janay-Carpenter.MD
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53 changes: 53 additions & 0 deletions applicants/Antarr-Byrd.md
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# Antarr Byrd — Skills Profile

---

## Name / Handle
[Antarr Byrd](https://antarr.dev), [https://github.com](@antarr)

---

## Core Identity
- Full-stack web and enterprise applications developer passionate about backend development and devops, especially automation and APIs.
- A polyglot, with expertise in Ruby on Rails, Crystal, .NET.
- A huge fan of opensource applications

---

## What You're Good At
Your strongest skills — technical or not. Be specific.

- Full stack web development in Ruby on Rails.
- Software infrastructure, whether its self hosted or in the cloud
- Making mistakes and learning from them

---

## How You Use AI Right Now
Not what you've heard about, what you actually use. Tools, models, workflows, things you've built or shipped.

- Claude Code Cli
- Gemini
- Automate code review using Ollama Cloud models

---

## Current or Recent Projects
What are you working on or what have you shipped? Links welcome.

- [WevoteProject](https://wevoteproject.com)
- [MySQLGenius](https://www.reddit.com/r/ruby/comments/1sgsl22/mysqlgenius_020_release/)
- [Withing.net](https://www.nuget.org/packages/Withings.NET/4.0.1)
- [vs-sidekiq](https://marketplace.visualstudio.com/items?itemName=antarrb.sidekiq-manager)
- [Crystal Text Splitter](wevote-project/crystal-text-splitter)
- [Ruby Roost](https://rubyroost.dev)

---

## What You Want to Build Here
To build tools for automation, making work easier.

---

## Superpower
Translating other peoples visions into real products. Sometimes my own.
77 changes: 77 additions & 0 deletions applicants/Atalia-Young.md
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# Atalia S. Young — Skills Profile

---

## Name / Handle
Atalia S. Young
GitHub: AUsymplus0326

---

## Core Identity
Enterprise product and delivery leader specializing in HR systems, now building and implementing AI-powered solutions for real-world environments.

I design structured systems that move from idea → deployment → adoption.

---

## What You're Good At

- Leading end-to-end delivery of enterprise systems (80K+ users, federal HRIT platforms)
- Translating ambiguous problems into structured, buildable solutions
- AI solution design for real-world use (operations, HR, behavior systems)
- Driving execution across engineering, vendors, and stakeholders
- Turning concepts into production-ready workflows and products

---

## How You Use AI Right Now

- Designing and building **AuSYM+ AI**, a platform focused on routines, executive functioning, and caregiver ecosystems
- Creating AI-assisted product architectures (onboarding logic, role-based access, insight generation)
- Using AI to accelerate:
- Product design + UX flows
- System architecture decisions
- Content + tool generation at scale
- Building structured tools powered by AI (routine systems, behavioral supports, decision frameworks)
- Using AI as a **delivery accelerator**, not just exploration

---

## Current or Recent Projects

- **AuSYM+ AI (Founder / Product Lead)**
AI-powered platform supporting neurodiverse children and their support systems
→ Focus: routines, executive functioning, caregiver collaboration

- **ASYM+ (Fractional Practice)**
Enterprise HR systems product leadership
→ Modernization, platform ownership, delivery execution

- **Executive Functioning System (Book + Toolkit)**
Parent + child framework designed for real-life usability (KDP + digital tools)

- **Village Exchange Network (MVP)**
Community-based platform for resource sharing and support coordination

---

## What You Want to Build Here

I’m interested in contributing as a **delivery lead / product lead** on real AI engagements.

Specifically:
- Leading implementation from problem definition → deployed solution
- Structuring AI systems that integrate into existing workflows (not sit on the side)
- Building repeatable frameworks for AI adoption across organizations

I’m focused on **execution, usability, and outcomes** — not just prototypes.

---

## Superpower

I take complex, messy environments and turn them into structured systems that can actually be implemented, scaled, and used.

---

57 changes: 57 additions & 0 deletions applicants/Christopher-Thom.md
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# [Christopher Thompson] — Skills Profile

---

## Name / Handle
Your name, GitHub handle, or both.

Christopher Thompson / [chris](https://github.com/chris745820)

---

## Core Identity

Senior Software Engineer focused on AI-driven integrations and warehouse-native B2B SaaS.
I connect data warehouses, CRMs, and third-party APIs into reliable products and ship multi-agent AI features end to end

---

## What You're Good At

- Designing and owning reverse ETL and sync engines that move data between Snowflake/BigQuery/Redshift and CRMs like Salesforce and HubSpot with strong SLAs.
- Building multi-agent AI services, RAG layers, and AI copilots that sit on top of warehouse and product data to power sales and marketing workflows.
- Implementing robust backend services in Python, Java, and Node.js with clear data models, idempotent jobs, and resilient retry strategies.
- Shipping full-stack features with React/Next.js, React Native, and TypeScript, including AI-assisted configuration and client-facing portals.
- Hardening systems for production with AWS/GCP, infrastructure as code, SOC 2–aligned security, and strong observability.

---

## How You Use AI Right Now

- Build and ship multi-agent services that orchestrate GPT, Claude, Mistral, and Gemini to automate audience building, trait generation, and sync configuration.
- Design RAG layers over Snowflake and PostgreSQL that join product usage, marketing, and CRM data for low-latency AI copilots in web apps and CRM side panels.
- Use LangChain, LangGraph, embeddings, and vector DBs (Pinecone, FAISS) to power semantic field matching, configuration suggestions, and integration health surfacing.
- Add AI-assisted workflows into existing products, like sync setup copilots and mapping assistants, to reduce onboarding time and configuration friction.
- Apply AI-powered anomaly detection on observability data to catch pipeline issues before they impact customers.

---

## Current or Recent Projects

- What are you working on or what have you shipped? Links welcome.
- Multi-agent AI services at Hightouch that automate activation workflows and suggestions over warehouse and CRM data.
- A scalable RAG and insights layer that powers AI copilots inside the Hightouch UI and CRM extensions for Salesforce and HubSpot.
- Unified connector and reverse ETL APIs at Supaglue for CRM, marketing, and warehouse platforms with AI-assisted mapping and configuration.
- A full-stack AI-powered video generation platform at FuseBase for real estate agents, serving thousands of users with sub-second responses.
- Infrastructure-as-code stacks (AWS CDK/Terraform) for connector and activation services with secure networking, observability, and safe deploys.

---

## What You Want to Build Here

#### I want to own end-to-end full stack engineering and data models, AI orchestrations, also integrations with other services or UI, etc on robust architecture
---

## Superpower

Turning complex data and AI infrastructure into clear, reliable product surfaces that GTM and customer teams can trust and use immediately.
54 changes: 54 additions & 0 deletions applicants/Clivia-Neptune.md
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# Clivia Neptune — Skills Profile

## Name / Handle

Clivia Neptune / LivNep

## Core Identity

Implementation & Operations Manager with 8+ years leading enterprise B2B
onboarding across fintech, healthcare, and SaaS. I take complex client
implementations from contract to go-live — managing integrations, timelines,
risk, and cross-functional teams — and build the systems that make it
repeatable at scale.

## What You're Good At

- Managing end-to-end client implementations including requirements gathering,
API/payroll integrations, UAT, and post-launch stabilization
- Running concurrent enterprise onboardings (up to 10,000 lives) while
maintaining data integrity and regulatory compliance
- Designing and standardizing implementation documentation, frameworks, and
workflows that scale
- Cross-functional stakeholder management across Engineering, Product, Finance,
Sales, and Customer Success
- Building executive-level reporting, RAID logs, risk mitigation plans, and
delivery tracking dashboards

## How You Use AI Right Now

- Using Claude to draft and refine client-facing documentation, project plans,
and implementation frameworks faster
- Automating repetitive reporting and status update workflows
- Learning to build AI-assisted onboarding tools that reduce manual
configuration and client friction
- Using AI to research and apply best practices in implementation ops and
process design

## Current or Recent Projects

- Leading AP/AR digital payment platform implementations at Viewpost —
managing full SDLC from discovery through production deployment
- Previously managed HSA/FSA/COBRA/HRA employer group implementations at
Voya Financial serving up to 10,000 lives per group

## What You Want to Build Here

AI-powered implementation and operations tools — smarter onboarding workflows,
automated documentation, and client delivery systems that reduce time-to-value
and scale without adding headcount.

## Superpower

Turning messy, high-stakes enterprise onboarding into clean, repeatable
processes that clients trust and teams can actually execute.
40 changes: 40 additions & 0 deletions applicants/Herman-Haggerty.md
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# Herman Haggerty — Skills Profile

## Name / Handle
Herman Haggerty · [@dubh3124](https://github.com/dubh3124) · [CognicellAI](https://github.com/CognicellAI)

---

## Core Identity
Principal-level AI Infrastructure Engineer. I build the platforms and guardrails that let teams safely run LLM-powered workflows in production. Currently leading AI infra at scale; founder of CognicellAI.

---

## What You're Good At
- AI infrastructure and MLOps — platform design, model deployment, MCP integrations
- Kubernetes, AWS, Terraform, observability, compliance automation (SOC 2, ISO 27001)
- FinOps and cost optimization
- Building from zero — teams, standards, platforms, open-source projects

---

## How You Use AI Right Now
- Architecting Kubernetes-based internal AI platforms with custom tooling and MCP-style integrations
- Building CognicellAI open-source org — [Cognition](https://github.com/CognicellAI/Cognition) (production AI agent backend with sandboxed execution, durable sessions, full observability), [Cognition-Gateway](https://github.com/CognicellAI/Cognition-Gateway) (detached frontend/control plane for agent workflows)
- Claude, OpenAI APIs, and LLM tooling in daily production workflows

---

## Current or Recent Projects
- **[Cognition](https://github.com/CognicellAI/Cognition)** — Open-source, batteries-included backend for production AI agent platforms. 7-layer architecture: sandboxed execution, durable session state, multi-tenant scoping, OTel/MLflow/Prometheus observability, REST API + SSE streaming.
- **[Cognition-Gateway](https://github.com/CognicellAI/Cognition-Gateway)** — Detached frontend and control plane for Cognition agent workflows.

---

## What You Want to Build Here
Ship AI-native infrastructure and agent tooling that real teams deploy. I want to build production-grade AI systems — not demos.

---

## Superpower
Taking AI from prototype to production-grade infrastructure and making it stick.
53 changes: 53 additions & 0 deletions applicants/Israel-Igietsemhe.md
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# Israel Igietsemhe — Skills Profile

---

## Name / Handle

**Israel Igietsemhe** — GitHub: [Aloagbaye](https://github.com/Aloagbaye) — Portfolio: [aloagbaye.github.io](https://aloagbaye.github.io)

---

## Core Identity

Senior Data Scientist and AI/ML engineer with 10+ years building production systems for enterprise clients. Founder of Soel Technologies Inc. — an AI/ML consulting company. PhD candidate at the University of Toronto researching game options pricing via Mellin transforms. I operate at the intersection of applied ML engineering, supply chain analytics, rigorous mathematical finance, and AI education.

---

## What You're Good At

- **Production ML systems** — demand forecasting, ensemble diagnostics, hierarchical pooling, NPI modelling; shipped for Nestlé Canada, Unilever Canada, Loblaw, KetteQ, UNICEF-sponsored Afrilearn
- **Mathematical finance** — game/Israeli options theory, Mellin transform frameworks, free-boundary PDE analysis, stochastic optimal stopping; extended Panini's framework to perpetual game options as original doctoral research
- **AI engineering** — RAG pipelines, multi-agent systems, LLM-powered applications (Streamlit, FastAPI, FAISS, BGE embeddings)
- **Curriculum and programme design** — former university lecturer (UNIBEN, Production Engineering); designed structured 90-day cohort programmes for analyst-to-AI career transitions
- **Systems thinking** — translating ambiguous, high-complexity problems into modular, executable architectures — research pipelines, business programmes, productivity systems

---

## How You Use AI Right Now

- **Claude daily** — code architecture, dissertation research (literature synthesis, proof scaffolding, LaTeX drafting), business writing, content generation
- **AI-powered apps** — LinkedIn lead generation agent (Streamlit + SQLite + HubSpot CRM push), healthcare RAG system (PubMedQA/MedQA, FAISS, BGE), ecommerce recommender system
- **Prompt engineering at depth** — structured system prompts, chain-of-thought scaffolding, XML-tagged outputs, API-level orchestration
- **Notion + AI** — comprehensive productivity infrastructure: 12-Week Year system, Financial Command Center, dissertation tracking — all AI-assisted design and maintenance

---

## Current or Recent Projects

- **Agentic Clinical Assistant** ([GitHub](https://github.com/Aloagbaye/agentic-clinical-assistant)) — production-ready, regulated-domain-safe agentic RAG system; multi-agent orchestration for clinical operations guidance with strict safety, grounding, and auditability requirements; built for healthcare AI compliance constraints
- **Afrilearn — UNICEF-Sponsored Recommender System** ([GitHub](https://github.com/UNICEF-AFRILEARN)) — part of a $100K UNICEF-funded project to make education accessible to indigent students across Africa; deployed an association rule mining recommender on an e-learning platform; integrated OpenAI ChatGPT for multiple-choice question generation in quiz games
- **KetteQ Supply Chain Forecasting** — lead data scientist on production ML forecasting models for KetteQ's demand and operations planning SaaS platform; ongoing work includes ensemble model diagnostics and applying foundation models in forecasting, Docker optimization, forecasting RMAPE/WAPE analysis, and hierarchical pooling
- **PhD Dissertation — University of Toronto** — five-paper research arc extending Mellin transform frameworks to game/Israeli options pricing

---

## What You Want to Build Here

I want to build systems that make meaningful impact in production — across healthcare, education, and supply chain analytics. That's the through-line in everything I've shipped, and it's what I want to keep doing here.

---

## Superpower

Systems thinker with a rare blend of mathematical depth and production AI engineering, able to move seamlessly from theory to deployment with rigor and clarity.
30 changes: 30 additions & 0 deletions applicants/Janay-Carpenter.MD
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Name / Handle
Janay Carpenter — @drjcarpenter
Core Identity
Portfolio manager and organizational strategist who builds AI-powered workforce intelligence systems. Also a professor, entrepreneur, and Claude Partner who turns complex institutional problems into structured, scalable tools.
What You're Good At

Workforce planning, FTE modeling, and resource allocation strategy
Building AI-powered internal tools that non-technical teams actually use
Translating ambiguous organizational problems into clear systems and frameworks
Curriculum design and AI literacy program development
Leading cross-functional projects from concept to implementation

How You Use AI Right Now

Built Hall Pass, a Claude-powered AI assistant for workforce intelligence at Chapin Hall at the University of Chicago
Developed Allocation Health Reporting workflows and Power BI dashboards using AI-assisted analysis
Use Claude daily for portfolio management, content strategy, and building operational tools
Actively building AI literacy frameworks for higher education contexts

Current or Recent Projects

Hall Pass AI Assistant — internal Claude-powered tool for staff allocation and FTE planning
Skills Matrix Tool — workforce capability mapping tool built for FY27 planning cycle
Amali — AI-assisted activewear brand development (product, copy, brand identity)
Slow. Still. Surrender. — wellness workbook written and launched with AI-supported workflow

What You Want to Build Here
I want to contribute to AI literacy programs that actually reach people — especially in institutional, education, and workforce contexts where AI adoption is slow not because people aren't capable, but because no one has built the on-ramp yet. I also want to be in rooms where AI-native products are being built from the ground up.
Superpower
Turning organizational complexity into tools people actually use — then teaching others how to do the same.
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