Most of the time spent on creating product distribution channels. Gabriel Weinberg's book Traction structured the working method. Among the channels I prioritized we have:- Digital marketing- ERP partners- CRM partners- Class associationsThe objective of seeking growth channels by exploring the best of the product and simplifying the flow of the value delivery chain.

Responsible for creating an investment thesis that shows the payback to investors. I have already fundraised 5MM. 4MM from government funds and 1MM from private market investors at the start of the company.The next investments rounds aims to accelerate the expansion of the product's distribution channels.

Product / Market FIT ValidationWe built a prototype that became a first MVP of an Artificial Intelligence CRM that allowed us to earn 50k MRR. During the pandemic in 2020, we had to choose new customer segments to navigate the market chaos. Hard times to change the 4 tires of the car with it in motion.The product base supported by an elastic and fault-tolerant BIG DATA platform integrated with Artificial Intelligence algorithms allowed us to create a solution that processed tens of gigabytes daily to suggest, every day, for each salesperson, which customer to get in touch with the highest potential to sell.During this journey, our main mistake was to let the need for cash during the pandemic period take our focus. Focus is everything in building a new business. We managed to realign the plumb and focus on building the world's first CRM that aims to automating recurring sales processes through Artificial Intelligence.With that, we were able to reach 100k MRR and structure the product to seek scale of growth. We created a replicable sales model; so I hired a Sales Manager to lead the commercial area of the company.

CEO of goGeo - I'm in charge of leading a very qualified team with Masters and Ph.D in Computer Science bringing into line the business goals, team's activities and goGeo’s vision. - Responsible to define the business strategy and business development process in order to find and explore the most prominent and profitable markets for goGeo’s sales operation.- Chief Researcher to Review and Design the Big Data Middleware’s Architecture, Complex Distributed Algorithms, Network Protocols and High Performance Solutions.

I structured a Customer Success area from scratch. The literature that most impacted my decisions was the book by Lincoln Murphy (Customer Success). We designed the entire end-to-end value delivery flow, mapped the value delivery gaps, interacted with the product team to help prioritize new features, implemented customer portfolio monitoring processes that reduced the churn from 2.2% per month to 0.8% within 10 months.I hired a customer success manager to lead the area so that I could work on business growth activities.

Problem/Market FIT validation of new businessIn 2018, I led a series of business experiments to validate a potential new product that had as a value proposition: “Increase salespeople’s productivity and sales by suggesting every day which customer is most likely to buy”.The idea was to use Artificial intelligence to mathematically model a customer buying behavior suggesting everyday the right customer, at the right time to a salesperson to contact.I sold 5 projects generating 65k revenue. At this moment, I saw that in a market with 15k potential customers, we got a potential deal. The idea was sold, customer billed, and the product was delivered as a project. This experience was essential to generate requirements to the product development.We created a model to have a minimum of validation to invest full time in the development of the first version of the goVendas product.

Gogeo is a Geospatial Platform as a Service (PaaS) to support users of GIS (Geographic Information Systems) with faster and cheaper geoprocessing than the solutions of "big players" in this market such as Oracle Spatial, Google Maps Enterprise and ArcGIS. In fact, goGeo is the first Cloud Native GIS Platform of the market. In a unique way, goGeo implements distributed algorithms for processing large volumes of spatial data doing analysis and generating maps in real time. Using a highly qualified team with 5 years of experience of R&D in Big Data and GeoSpatial , goGeo’s vision is to be, by 2018, among the top 5 vendors of platforms in GIS market that is today U$250 billion worldwide.Geoservices market grows 30% per year and has annual revenue outlook of U$ 157 to U$ 250 BI, larger than the video game industry. However, developing applications that explore analysis and visualization of Geospatial Big Data is highly complex, requires skilled professionals and hence is very expensive and risky. So, GoGeo (www.gogeo.io) is a PaaS that simplifies the development Location Intelligence Applications and Location Based Services that explore the power of Geospatial Big Data analysis. Our clients are ISVs (Independent Software Vendors) and large companies in the global market that pay by volume of data and use of GoGeo API’s services.

Professor and Researcher at Distributed Computing with focus at Geospatial Big Data. Developed many different research projects related to Distributed Middleware Platform for RFID and LBS/GIS. I was the supervisor and co-advisor of masters and Ph.D students in these areas. Received about U$ 750.000,00 dollars of funding in research projects in the last 4 years.- 2006/2014- Professor at graduate and undergraduate level in distributed systems and computer network courses;- 2009/2014 - As a Head of the team, I formed and led a strong research and development group in the development of a distributed geospatial platform.- 2012/2013 - I lead a group of 10 people in the development of a system for private cloud computing capacity planning for hosting SAP applications; Project Sponsor: Dell Computers; Total Investment: ~ U$ 200.000,00- 2011/2012 - I lead a group of 20 people in the development of a Geographic Business Intelligence focused in Environment Management using different geospatial technologies for making real time spatial analysis on a web application. I was responsible to lead and manage the partnership with its sponsor - Dell Computers. This project last 2 years and received an investment of about U$ 500.000,00- 2009/2010 - I lead a group of 10 people in the development of a RFID middleware platform for 2 years; Project Sponsor: FAPEG; Total Investment: ~ U$ 20.000,00

Researcher and Developer of a Mobile Middleware Platform for Ubiquitous Computing.- Main researcher and developer of a Mobile Collaboration Middleware Platform for Ubiquitous Computing;- Designed and developed an event-based asynchronous communication API to support flexible communication in wireless network comprising, for instance, expression-based event notification via UDP and/or TCP;- Designed and implemented many different kind of context provisioning services;- Wrote about 150K lines of code (in C and Java).

Network Group Coordinator, Project of High-Performance Metropolitan Networks of Rio Grande do Norte - REMAV-RN, UFRN, Natal, RN, Brazil# I lead a three-people group in the configuration and maintenance of the REMAV-RN infrastructure that comprises ATM links, switches and routers. The group was in charge of maintaining the ATM infrastructure used in the experiments of the Digital TV and Video Conference projects