Michael César Fernandes Lopes

Jan 2025 - present

Natal, Brazil (remote)

Founder and Software & Data Consultant · Bootcom

• Founded and run an AI software and data consultancy, owning prospecting, technical proposals, architecture, development, deployment and support.
• Serve clients across different industries (marketing, retail, entertainment and services) with custom systems, data consulting and digital presence work.
• Structure data flows, tracking and KPIs so clients decide by numbers instead of intuition, always with attention to data protection (LGPD).
• Standardized architecture, CI/CD and security review as part of every delivery, reducing rework and production incidents.
• Run the full project cycle with the client: requirements, timelines, scope validation and post-delivery follow-up.

Sep 2026 - present

Remote

Full-stack Developer and Systems Analyst · Plannus CRM

• Audited a CRM already in production, with a 36k-line API covered by just 4 test files, and logged 33 evidence-backed findings, 7 of them critical.
• Closed every blocker in 10 days of fix rounds, turning each lesson into an executable guard that fails the build.
• Grew API tests from 11 to 487 cases (121 of them end-to-end against a real Postgres) and app tests from 3 to 482.
• Migrated the system from a manually deployed VM to Cloud Run, with all infrastructure described as code.
• Set a 500-line ceiling per file, breaking up the largest at 2,698 lines, and recorded 11 architecture decisions as ADRs.
• Standardized 258 routes under a single envelope with an exported OpenAPI contract and grew database indexes from 26 to 53.

Jul 2026 - Oct 2026

Remote

Full-stack Developer and Systems Analyst · JuscIA

• Shipped in one month the platform's first stable release after two years without one, including two features previously considered unfeasible, in under a week.
• Rebuilt the architecture on Google Cloud, now sustaining over 1 million requests per week at a monthly infrastructure cost under R$ 700, roughly 75% below the previous cost.
• Fixed 24 serious security flaws, from authentication to cross-account access control, and made security review part of every delivery.
• Grew the test suite from 8 to 63 files with over 770 tests, and brought the database under 77 versioned migrations instead of automatic schema sync in production.
• Cut production processes from 6 to 1, replacing five auxiliary services with persistent Redis queues and automatic retries.
• Built the 13-screen admin panel from scratch and standardized the API's 282 endpoints under a single pattern.
• I remain the platform's developer, owning maintenance and evolution after delivery.

Sep 2025 - Mar 2026

Remote

Full-stack Developer and Systems Analyst · Toca aê

• Designed and built the entire system single-handedly, from first commit to production with real clients in five months.
• Music request and Pix tipping SaaS with 4 integrated panels: customer, artist, venue and admin.
• 2,792 automated back-end tests covering 92.9% of modules, with testing part of the flow from the first commit.
• Infrastructure as code across 8 provisioned modules and 22 API route groups documented and catalogued automatically.
• A codebase built to last: 14 modules with their own documentation and 167 reusable UI components, across 123k lines of front end and back end.
• I remain the platform's developer, owning maintenance and ongoing evolution.

May 2024 - Dec 2025

Remote · Indianapolis, USA

UX/UI Designer · Thalocan Research Innovations

• Owned UX/UI design for both Thalocan Research Innovations products, a US company building technology for dermatology clinical trials: LAMA, the AI lesion analysis app, and Order Request, the institutional client communication system.
• Created high-fidelity Figma prototypes with animated, clickable flows, validating decisions with stakeholders before they became code.
• Built reusable components shared across both systems, giving visual consistency and cutting implementation work for the team.
• Focused on usability over aesthetics: redesigned flows so every screen made sense to its user and required fewer steps on critical tasks.
• Proposed interface solutions from pain points raised with the team, translating clinical and commercial requirements into usable screens.

Jan 2025 - Jul 2025

Remote · Indianapolis, USA

QA Analyst · LAMA (Thalocan Research Innovations)

• Worked as QA on LAMA (Lesion Area Mapping Assistant), a mobile app with on-device AI that detects skin lesions, identifies their type and grades severity from the phone camera.
• Validated lesion progression tracking across treatment, the feature that measures drug effectiveness in the clinical trials the company serves.
• Wrote and maintained automated test suites with Jest and Selenium, expanding coverage and reducing regressions between releases.
• Ran black-box testing on critical flows, validating the product from the perspective of the physician using it during care.
• Produced quality reports with evidence and severity classification, used by the team to prioritize fixes.
• Worked in a high-stakes context: a defect in clinical support software has direct consequences for medical decisions.

Jan 2025 - May 2025

Remote · Indianapolis, USA

Full-stack Developer · Order Request (Thalocan Research Innovations)

• Built Order Request, the communication and approval system between Thalocan Research Innovations, a US company building technology for dermatology clinical trials, and its institutional clients such as hospitals and large companies.
• Built the full request flow: catalogue of offered services, request submission, client approval or rejection, and status tracking, all inside the system.
• Implemented scheduling for mentoring sessions and studies, replacing scattered message threads with a single traceable record.
• Django back end with APIs and data modeling; Next.js front end, from the request form to the tracking dashboard.
• Worked inside a US clinical research technology company, following the team's quality and code review standards.

2022 - 2023

Natal, Brazil

Research and Outreach Scholarship Member · NADIC / IFRN

• Official IFRN research scholarship holder at the research, development and innovation lab (NADIC), advised by Prof. Dr. Demetrios Coutinho.
• Outreach project approved under call no. 04/2022-PROEX/IFRN and selected for presentation at IFRN Natal.
• Built, in a pair, an IoT and computer vision application that monitored mask usage, uniform compliance, body temperature and crowding in real time during the Covid-19 pandemic.
• Applied fine-tuning to a pretrained model with over 1,000 images, reaching 92% classification accuracy, a technique still uncommon in undergraduate projects at the time.
• Built the OpenCV video pipeline and used TensorFlow and YOLO to detect people and classify each one in real time.
• Implemented crowding detection via Euclidean distance, solving the camera's depth problem, which reads people on different planes as standing side by side.
• Integrated a temperature sensor into the system, combining the checks into a single pass through the entry point.
• Delivered a tutorial-style webinar on the project, teaching participants to replicate the application remotely, with live Q&A.