Manuel.
CONTACT
Buenos Aires, Argentina — Open to opportunities

SoftwareEngineer&Filmmaker

I'm Manuel Figuerero. I automate infrastructure — .NET, Ansible, SQL Server at ExxonMobil — and fly FPV drones across 12+ countries with a camera in my backpack.

VIEW WORK
FLIGHT PLAN
8mExxonMobil IT
4thYear, CS Eng.
12+Countries filmed
3Languages
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00 / FLIGHT PLAN

Flight Plan

12+ countries flown, skied, filmed and photographed — plotted from real coordinates. Select a waypoint to open its log.

BaseVisited — every waypoint lit is a place I've flown13 waypoints · 5 continents
EXCHANGE46.69°N 7.85°E · 2019 — 2020

Bernese AlpsSwitzerland

One year as a Rotary exchange scholar. Came back fluent in German (B2) — and obsessed with mountains. Jungfrau, Zermatt and Interlaken became my first serious photography grounds.

PHOTOGRAPHY
Jungfrau and Eiger, Bernese Alps

135mm · f/7.1 · 1/400s · ISO 100

Mountaineer portrait, Swiss Alps

63mm · f/6.3 · 1/500s · ISO 100

Alpine marmot, Zermatt

41mm · f/9 · 1/800s · ISO 100

01 / SELECTED WORK

SelectedWork

Three missions, told end to end — problem, architecture, outcome. Fewer projects, more depth.

018 months · ExxonMobil, Buenos Aires

Seismic VM Provisioning

Infrastructure automation for ExxonMobil's geology teams.

exxonmobil-geology-api● live
$ansible-tower: Fetching playbook 'deploy-geologist-vm.yml'
$exxon-ops: Connecting database SQL Server via .NET API
$status: Ready to provision geologist workspace
IT Infrastructure Operations Intern

The problem

Geologists needed virtual seismic workstations with specific compute profiles — RAM, vGPU, seismic software stack. Provisioning them was a manual, ticket-driven process: slow, error-prone and impossible to audit.

My solution

  • →A centralized .NET API as the single entry point for every provisioning request.
  • →VM inventory and request state modeled in SQL Server for full traceability.
  • →Ansible Tower executing provisioning playbooks automatically against the virtualization layer.
  • →Standardized compute profiles so each geologist workspace is reproducible.

Architecture

  1. 01

    Request intake — .NET REST API validates and queues provisioning requests

  2. 02

    State layer — SQL Server tracks inventory, ownership and request lifecycle

  3. 03

    Orchestration — Ansible Tower playbooks provision VMs on the virtualization layer

  4. 04

    Delivery — geologist receives a ready seismic workstation, fully logged

Results

  • ✓Manual multi-step process replaced by an automated, auditable pipeline.
  • ✓Hand-configured environments eliminated — human error removed from the loop.
02Freelance · In production

Oneto Law Firm

End-to-end web platform, live in production.

estudio-juridico-oneto.vercel.app
ONETO

Compromiso & Excelencia Jurídica

Asesoramiento penal, civil y comercial.

Designer & Developer — end to end

The problem

The law firm had no digital presence: no way for potential clients to discover the firm, understand its practice areas or start an engagement online.

My solution

  • →Full site built with Next.js and TailwindCSS, deployed on Vercel's edge network.
  • →Content structured around practice areas — criminal, civil, commercial — with clear contact CTAs.
  • →Technical SEO from day one: semantic HTML, metadata, fast load times.

Architecture

  1. 01

    Next.js App Router — static generation for instant loads

  2. 02

    TailwindCSS design system — consistent, maintainable UI

  3. 03

    Vercel CDN — global edge delivery with zero-config CI/CD

Results

  • ✓The firm's production website is now its main digital front door.
03UADE · In progress

Agricultural IoT Telemetry

Engineering thesis — smart field-data architecture.

IN PROGRESS
THESIS75%
Author · Engineering thesis

The problem

Field data in agriculture is still collected manually or not at all. Decisions about irrigation and crop health are made without telemetry that sensors could provide cheaply.

My solution

  • →A smart architecture for automated field-data collection with IoT sensors.
  • →Telemetry pipeline design: sensor mesh → gateway → cloud ingestion → analytics.
  • →Research focus on low-cost, low-power deployment for real Argentine farms.

Architecture

  1. 01

    Sensing — distributed low-power sensor nodes in the field

  2. 02

    Transport — gateway aggregation and uplink

  3. 03

    Ingestion — cloud pipeline for time-series telemetry

  4. 04

    Analytics — Python data layer for irrigation and crop decisions

Results

  • ✓Thesis in progress (4th-year Computer Science Engineering, UADE).
  • ✓Architecture and sensor selection defined; field pilot in design.

More missions

FPV Drone Reel

Acrobatic first-person flight in alpine and coastal environments — DJI Avata 2.

Global Travel Film

12+ countries edited into rhythm-driven travel films — DaVinci Resolve.

UADE & Switzerland

4th-year CS Engineering · Rotary exchange scholar · German B2, English B2.

02 / EXPEDITION PHOTOGRAPHY

PhotoProjects

Three curated collections shot on the Sony α6400 — real EXIF on every frame. Each opens its own gallery.

03 / PROFILE & SKILLS

About& Skills

12+

Global Adaptability

Rotary Club exchange in Switzerland (2019–2020). Fluent English (B2) and German (B2) in demanding multicultural environments.

8m

Engineering & DevOps

8 months at ExxonMobil IT Operations. .NET APIs, Ansible Tower, SQL Server and corporate infrastructure automation.

4th

Education & Languages

Native Spanish, English B2, German B2. International ski instructor. Computer Science Engineering at UADE (4th year).

Let's build something.

Open to software engineering roles and collaborations — and to cinematic FPV drone storytelling.

vicentefiguerero@icloud.com
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© 2026 Manuel Figuerero MantillaBuenos Aires, Argentina