Curriculum Vitae
Daniel Scheidemantel Camargo
hello at dans ch
+41 77 968 0561
Geneve, Switzerland
Professional Summary
Applied AI Engineer and Senior Full-Stack Developer with 8+ years of experience building and operating scalable, high-traffic systems across cloud environments (AWS, GCP). Specialised in deploying production-grade LLM-powered agentic platforms and modernising legacy microservices architectures to drive business efficiency.
Strong track record in the full software lifecycle—from technical scoping and solution architecture to deployment and post-implementation iteration. Proven ability to translate complex business requirements into high-performance technical solutions, with a deep focus on cloud-native patterns, data pipelines, and MLOps.
Geneva-based, experienced in multi-cultural and remote-first engineering teams. 13 peer-reviewed publications in distributed systems and cloud computing; passionate about open source and AI-driven automation.
Professional Experience
Founder & Lead Applied AI Engineer
CurrentCapellaris AI (SaaS, self-funded)
March 2025 - Present
- Designed, built and operate a production-grade, LLM-agnostic multi-tenant SaaS platform end-to-end — covering marketing, finance and legal automation use cases for enterprise customers.
- Full-stack delivery: Python/FastAPI backend, Node.js middleware layer, React front-end, PostgreSQL + pgvector, Redis, Supabase, Cloudflare WAF; GCP infrastructure (CloudRun, Firebase); OAuth 2.0, IAM, secrets management and tenant isolation.
- Built a reusable agent-orchestration layer (CrewAI + MCP) with embeddings, hybrid search (pgvector + BM25), chunking, reranking and tool-calling; integrated Anthropic Claude, OpenAI and Gemini APIs behind a unified multi-LLM abstraction.
- Implemented full MLOps lifecycle: prompt versioning, model evaluation, observability (Cloud Logging) and continuous delivery (GitLab CI/CD).
- Pilot enterprise customer live in production; direct technical account management — requirement scoping, integration support and product iteration based on customer feedback.
Senior Software Engineer – Platform & Data APIs
CurrentMercado Livre (e-commerce, logistics)
August 2025 - Present
- Design, build and operate internal platform APIs for large-scale logistics operations serving millions of daily transactions; cross-functional Scrum team of 7, on-call rotation, incident management and post-mortems.
- Develop Python (FastAPI) and Go services; contribute to React-based internal tooling; own full production lifecycle on containerised multi-cloud infrastructure (Docker, AWS/GCP via MELI’s internal Fury platform).
- Integrate Claude and OpenAI APIs into production workflows as autonomous decision-support agents for logistics capacity planning; mentor team members on AI integration patterns and backend best practices.
- Build and maintain CI/CD pipelines (GitHub Actions) with automated testing, observability (structured logging, metrics, alerting) and progressive rollout strategies.
- Design ETL pipelines (Python/Pandas/Polars on BigQuery) feeding demand forecasting and capacity planning simulators used by commercial and operations teams for high-volume, data-driven decision-support.
Senior Full Stack / Platform Engineer
Buscaônibus / DeÔnibus / Travelier (travel, meta-search)
April 2021 - August 2025
- Primary owner of a high-traffic travel search and ticketing platform processing millions of passenger queries: design, development, maintenance and on-call support.
- Operated and monetised passenger demand and pricing data pipelines — aggregating real-time availability, route coverage and fare data across hundreds of bus operators to power commercial analytics and revenue optimisation.
- Led full platform modernisation: Python 2.7/App Engine to Python 3.12/FastAPI/CloudRun (Docker), cutting average API latency by 25% and GCP infrastructure cost by 40%; directly improved search response quality and conversion.
- Designed and shipped a route intelligence and demand analytics layer (BigQuery + Looker Studio) used by business stakeholders to evaluate route performance, passenger volume trends and pricing opportunities.
- Built Gemini-based AI agents for internal operations and demand-signal processing via reusable backend APIs.
- Mentored junior engineers on Python best practices, API design and cloud-native deployment.
Software Engineer – Integrations & CI/CD
Portobello Group (retail, ERP, CRM, data)
December 2019 - April 2021
- Built Python/Django backend integrations between Salesforce, on-prem ERPs and downstream microservices; designed data pipelines for the commercial analytics stack.
- Operated Kubernetes CI/CD pipelines (Rancher + Jenkins) with Docker; maintained MSSQL Server (job scheduling, data pipeline architecture).
- Led technical design and stakeholder support for company-wide Salesforce rollout; developed a full financial simulator embedded in Salesforce with a Python backend.
Software Developer – Automation & Cloud
Stormtech (consumer loans, regulated)
August 2018 - November 2019
- Developed Python automations and data pipeline integrations with a PHP monolith in a regulated financial environment.
- Built and operated an AWS-native platform (EC2, Lambda, Step Functions, DynamoDB, RDS-MySQL, Route53); tracked and resolved production incidents in a fast-paced support context.
Software Developer – IoT & Automation
ReciclaComigo (ESG, waste management startup)
July 2016 - February 2018
- Designed, prototyped and developed a Reverse Vending Machine using MQTT, AWS IoT Core, Raspberry Pi, Arduino, Computer Vision (OpenCV) and Python
- Connected to an AWS architecture (EC2, Lambda, RDS-MySQL) to manage machine operations and collect data from users and collectors
- Inovation, Lean Startup, Design Thinking, UX, User Research, Business Model Generation, MVP, Pitching, Acceleration Programs
Research & Development
UDESC: Colmeia & LabP2D (research)
March 2012 - March 2017
- Developed energy monitoring solutions for data centers (GreenHop project)
- Created algorithms for virtual machine consolidation (CHAVE project)
- Published 13 peer-reviewed research papers in international conferences
Skills
AI / LLM Engineering
Claude
OpenAI
Gemini
CrewAI
MCP
pgvector
RAG
MLOps
Back-end & APIs
Python
FastAPI
Go
Node.js
REST
gRPC
Django / Flask
Front-end
React
React Native
TypeScript
Next.js
HTML5 / CSS3
Databases & Storage
PostgreSQL
MySQL
Redis
BigQuery
Cloud Spanner
DynamoDB
Cloud & Infrastructure
GCP
AWS
Docker
Kubernetes
Cloudflare
Terraform
CI/CD & Observability
GitHub Actions
GitLab CI/CD
Jenkins
Cloud Logging
CloudWatch
Data & Analytics
Pandas
Polars
Looker Studio
ETL
Customer-Facing
Pre-sales Scoping
Solution Design
Pilot Management
Technical Support
Languages
Portuguese
Native
English
Proficient
French
Basic
Spanish
Basic
Certifications
AWS Technical Essentials
Amazon Web Services — São Paulo, SP — 2017
Salesforce Platform Developer I
Salesforce Bootcamp — 2021
Education
Master's Degree in Applied Computing
Santa Catarina State University (UDESC)
2016 - 2018
Focus: Cloud Computing, Virtualization and Energy Efficiency
Bachelor's Degree in Computer Science
Santa Catarina State University (UDESC)
2011 - 2016
Focus: Software Engineering and System Development
Teaching & Research Projects
Volunteer teaching and research activities at Santa Catarina State University (UDESC) — 2013 to 2016.
Programming with Open Source Hardware — Arduino in C++
UDESC — Colmeia & LabP2D
2013 – 2016
- Taught introductory and advanced Arduino programming in C++ to undergraduate students.
- Covered embedded systems concepts, sensor integration, and hardware automation.
- Applied in research projects such as GreenHop (data center environmental monitoring).
Version Control with Git
UDESC — Colmeia & LabP2D
2013 – 2016
- Taught Git fundamentals and collaborative workflows to research lab members.
- Topics included branching strategies, pull requests, and open source contribution practices.
All Publications
More details in Google Scholar
- Automação climática em sala de servidores utilizando hardware livre - ERAD-RS (2015)
- Monitoramento Ambiental Open Source para Data Center - ERAD-RJ (2015)
- Sensoriamento em sala de servidores baseado em software e hardware livres - SIC UDESC (2015)
- Automação climática em sala de servidores utilizando hardware livre - Latinoware (2015)
- Sensoriamento climático em sala de servidores utilizando soluções de software e hardware livre - COTB (2015)
- GreenHop: Open source PUE continuous monitoring for small and medium data centers - IEEE-CLEI (2016)
- Automação climática em sala de servidores utilizando hardware livre - ERAD-RS (2016)
- GreenHop: Environmental and power monitoring small size data centers - CRICTE (2016)
- GreenHop: Open source environmental monitoring for small and medium data centers - IEEE-SCCC (2016)
- Sensoriamento em sala de servidores baseado em software e hardware livres - SIC UDESC (2016)
- Sensoriamento e automação climática em sala de servidores utilizando software e hardware livre - UDESC dissertation (2016)
- Uma Proposta de Orquestração de Nuvem Computacional Baseada em Consolidação, Elasticidade e Disponibilidade - ERAD-RS (2017)
- MeHarCEn: A Method of Harmonizing Energy Consumption in Data Centers - RITA (2017)
- Análise envoltória de dados para eficiência energética e termal em processadores de alto desempenho - GS (2016)
- Internet of Things: Survey About Management Solutions - OGRC (2016)
- Problema Bin Packing com Abordagem Heurística First Fit Decreasing - PAA (2016)
- Análise da consolidação de máquinas virtuais nos equipamentos de rede - SDA (2016)
- Consolidação de máquinas virtuais com alta disponibilidade: uma revisão bibliográfica sistemática - MEP (2017)
- Uma ferramenta para análise do impacto da migração de máquinas virtuais - REC (2017)
- CHAVE: Consolidation with High Availability on Virtualized Environments - DEP (2017)
- Presentation "CHAVE: Consolidation with High Availability on Virtualized Environments" - DEP Presentation (2017)