Vetted Technical Documentation Professionals

Pre-screened and vetted.

DA

Diego Alaimo

Screened

Junior .NET Developer specializing in ASP.NET MVC and test automation

Gold Coast, Australia1y exp
Dance Studio (Gold Coast, Australia)BIOS

Unity gameplay programmer focused on player movement and "game feel," implementing responsive controls (variable jump height, forgiveness mechanics) by combining Update-based input with FixedUpdate physics and velocity-driven movement. Brings client-server/REST fundamentals from outside games and is actively ramping into Unity multiplayer (Photon/Mirror-style) via small synchronization prototypes.

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Sir Inman - Junior Level Designer specializing in Unreal Engine VR/AR experiences

Junior Level Designer specializing in Unreal Engine VR/AR experiences

2y exp
J&F InvestimentosAcademy of Art University
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Sarah Wasil - Mid-level Account Manager specializing in client retention and issue resolution in San Diego, CA

Mid-level Account Manager specializing in client retention and issue resolution

San Diego, CA6y exp
Motlagh IndustriesMesa Community College
Account ManagementCustomer ServiceProblem SolvingTeam CollaborationIssue ResolutionUpselling+2
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Joshua Engelhardt - Intern Game Designer specializing in Unity, 3D asset creation, and data-driven design in St Louis, MO

Intern Game Designer specializing in Unity, 3D asset creation, and data-driven design

St Louis, MO0y exp
Graphite LabMaryville University
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EY

Intern Full-Stack Software Engineer specializing in web applications

Nairobi, Kenya0y exp
Systech LimitedZetech University
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NZ

Intern Web Developer specializing in system testing and technical documentation

Tangerang, Indonesia1y exp
PT Alfatih Pilar PeradabanUniversitas Pendidikan Indonesia
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Built an automated ML/NLP document classification system for unstructured legal documents, combining classical models (TF-IDF + logistic regression/random forest) with entity resolution via fuzzy matching validated by precision/recall. Also implemented semantic similarity search using sentence embeddings stored in FAISS and improved matching by fine-tuning a transformer on domain-specific data and tuning similarity thresholds for fewer false positives.

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