Engineer • EntrepreneurPedro Kovalczuk

Pedro Henrique Dias Kovalczuk

Professional summary

Photo of Pedro Kovalczuk in original colors

Software engineer with experience as a startup founder, working across software products, data pipelines, AI workflows, and rapid MVP development. Graduated second in his class from the Military Institute of Engineering (IME). Combines hands-on engineering, product discovery, and technical ownership.

Mission Log

Experience

IME

Military Institute of Engineering

Military Institute of Engineering

Cartographic Engineering

Feb 2020 — Dec 2024

I graduated in Cartographic Engineering from IME, with a foundation in mathematics, physics, and geospatial data analysis. This background shapes how I build software: understanding the problem, modeling solutions, and turning data into useful applications.

Education highlights

  • Graduated second in my class
  • Developed the Virtual Museum of IME's Great Hall, capturing LiDAR data and integrating the models into an interactive Unity environment.
  • Worked in marketing, sales, and UI/UX at IME Júnior, prospecting engineering projects and planning commercial initiatives.
  • Back-office and finance intern at Galt Capital (May — Dec 2022), analyzing financial data and automating processes with Python and VBA in Excel.
  • Conducted international research at École des Ponts during my degree, analyzing climate data statistically with Python.
  • Final degree project: helped build a web application for registering and validating DSG cartographic metadata, automatically extracting geospatial data and generating standardized XML.

Skills

Data analysisGeoprocessingPythonQGISLiDAR

École des Ponts ParisTech

École des Ponts ParisTech

Climate research intern · HM&Co Laboratory

Sep 2023 — Jan 2024

I researched changes in extreme rainfall in France at the HM&Co laboratory with Daniel Schertzer and Ioulia Tchiguirinskaia. My supervisor, Daniel Schertzer, presented the study at UrbanRain 2023 in Pontresina, Switzerland. The research led to abstracts at UrbanRain 2023 and EGU 2024, with me as first author.

Key contributions

  • Collected and processed DRIAS climate data with Python and pandas.
  • Spatially aggregated rainfall series into a 12-cell grid over France.
  • Applied multifractal analysis using the HM&Co library's Double Trace Moment method.
  • Created matplotlib charts comparing regions, periods, and seasons.
  • Compared findings with Royer et al. (2008), investigating changes in rainfall intermittency and extremes.

Skills

PythonpandasmatplotlibStatisticsData analysisMultifractal analysis

Champs-sur-Marne, France

UrbanRain 2023 abstract (p. 24) (opens in a new tab)

EGU 2024 abstract (opens in a new tab)

Recommento

Cofounder

Jun 2024 — Oct 2025

I cofounded a professional recommendation platform and built its web and mobile interfaces, from search and referrals to jobs and applications. I also worked on product discovery and sales. The platform reached more than 1,800 registered users.

Key contributions

  • Redesigned search on the portal and app, with filters for city, category, and profession-specific attributes.
  • Improved the feed, profiles, and recommendations, connecting opportunities to conversations and improving photo caching.
  • Built job pages and multi-step applications, including post-login return, document uploads, and questions.
  • Processed multiple documents in the browser, merging PDFs and images, compressing files, and sending them through the API.
  • Implemented the Recommento PRO subscription screen and integrated purchases with RevenueCat.
  • Instrumented Mixpanel events across portal and app to track searches, recommendations, messages, and applications.
  • Upgraded Expo SDK from 49 to 52, removed the Draftbit dependency, and fixed session, startup, crash, and build issues.
  • Worked on product discovery and sales, and created landing pages for users and businesses to develop the B2B proposition.

Skills

ReactReact NativeExpoRedux ToolkitMaterial UIRevenueCatMixpanelProduct

Curitiba, Brazil

About the project

Professional recommendation platform with more than 1,800 registered users.

As a cofounder, I designed and built web and mobile interfaces, professional search, and job applications with documents. I also worked on product and sales.

Developed

Ateloom

ateloom.com (opens in a new tab)

Founder

Oct 2025 — 2026

After Recommento's pivot, I founded Ateloom, a platform for the audiovisual market. I developed interfaces for professionals and production companies, including customizable profiles, multimedia portfolios, and contextual recommendations. I also defined the product, designed AI-assisted project matching flows, and presented the solution commercially.

Key contributions

  • Researched the product, defined its audience, and specified audiovisual briefing, scope, and proposal flows.
  • Built customizable profiles with roles, skills, equipment, availability, and contact details.
  • Created portfolio publishing and editing flows with images, videos, and project context.
  • Built the interface for professional and project recommendations, including reviews, testimonials, and invitations.
  • Implemented forms, responsive layouts, Portuguese and English translations, and SEO metadata.
  • Built the first version of My Work, with client projects and navigation between screens.
  • Developed the landing page with animated AI flow demos, plans, and a commercial presentation.

Skills

Next.jsReactTypeScriptMaterial UIGenerative AIPrompt engineeringLLM integrationUXProductInternationalizationSEO

Curitiba, Brazil

Talhão

talhao.ai (opens in a new tab)

Data & Software Engineer

Jul — Oct 2026

I built data infrastructure and geospatial intelligence products for rural properties, connecting public registries, satellite imagery, and automation. My work ranged from data ingestion and property identification to diagnostics, sales materials, and MVPs for buyers.

Key contributions

  • Built pipelines for collecting and updating rural registry data from sources including SICAR, SIGEF, and IBGE.
  • Matched properties across registries using spatial joins and confidence assessment.
  • Built a registry and environmental diagnostics core with automated checks and traceable evidence.
  • Automated processing of CAR records, listings, emails, and geographic files, combining geospatial analysis and AI.
  • Automated 3D video production using satellite imagery and terrain models with Blender and FFmpeg.
  • Built prospecting tools and the Horizon MVP for buyers, with 2D/3D maps, filters, and farm comparisons.

Skills

PythonGeospatial dataPostGISRemote sensingApplied AIAI-powered structured extractionLLM automationReactTypeScriptBlender

São Paulo, Brazil

Selected projects.

Ducksome

Personal finance application with locally stored data.

Built with TypeScript and local persistence of financial data.

TypeScript · Local persistence

Recommento

Professional recommendation platform with more than 1,800 registered users.

Geospatial chatbot

Georeferenced reports of insect sightings through WhatsApp, in a project for Fiocruz.

A project connecting insect sighting reports with geographic context through WhatsApp. After our team presented the MVP, Fiocruz moved forward with implementing the project.

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