Gwer D.

Key Skills

Software

Don't disclose

Top Subject Matter

AI-augmented code review and LLM output evaluation for software engineering deliverables

LLM-assisted backend test generation and functional validation

LLM-assisted test suite creation and evaluation for distributed payment systems

Top Data Types

Text

Top Task Types

Function Calling

Text Generation

Classification

Tracking

Entity (NER) Classification

Freelancer Overview

Founder & Lead Engineer (GITS) AI Trainer & LLM Evaluator (prompt and code evaluation). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Arts, Benue State University and Certificate of Completion, Udemy. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Function Calling.

Labeling Experience

Backend Engineer — TxCore (Open Source) (AI-assisted test generation and validation)

Don't disclose

Applied AI assistance to generate and refine a distributed payment processing test suite, then manually verified each test against the system’s actual failure modes. Achieved measured quality targets with a 29-test suite at 83% coverage through iterative validation. Ensured robust security behavior by implementing and validating webhook verification logic requiring precise correctness. • AI-assisted test generation followed by manual verification • Coverage measurement and iteration to reach 83% coverage • Validation against real system failure modes and edge cases • Implemented and confirmed secure webhook validation behavior

2025 - Present

Founder & Lead Engineer (GITS) — AI-augmented documentation workflows

Don't discloseTextText Generation

Built AI-supported development artifacts such as structured documentation drafts and API references that were edited for accuracy and clarity before use. Used LLMs to draft and refine client-facing and technical documentation to reduce manual writing overhead while maintaining correctness. Ensured the final outputs met engineering requirements via iterative review. • Drafted README and API reference documentation with LLM support • Iterated content for accuracy and clarity through review cycles • Produced documentation aligned with system behavior • Refined AI-generated text to match engineering standards

2023 - Present

Founder and Lead Engineer - GITS

ClassificationTracking

Founded and leads a software agency delivering production-grade web and backend systems for clients in Nigeria and internationally. Builds an AI-augmented delivery workflow for architecture review, code generation, debugging, and documentation to reduce delivery timelines. Reviews every AI-assisted implementation line by line to ensure correctness, security, and edge-case coverage before deployment. • Production-grade full-stack and backend architecture delivery • AI-augmented code review, debugging, and documentation workflows • Prompt workflows for scaffolding, tests, and consistent deliverables • Client delivery including multi-tenant SaaS and payment integrations

2022 - Present

Founder & Lead Engineer (GITS) — AI Trainer & LLM Evaluator (prompt and code evaluation)

Don't disclose

Evaluated AI-generated Python code for correctness, security, and maintainability before deployment in production systems. Reviewed implementations line by line to catch edge cases and failure modes introduced by LLM assistance. Improved reliability by refining prompt workflows for repeatable generation and structured extraction outputs. • Correctness and security checks on AI-assisted code before shipping • Manual edge-case review and evaluation of AI outputs • Prompt workflow design for consistent results across projects • Line-by-line verification of AI-assisted features prior to client delivery

2022 - Present

Backend Engineer (Founder) - FinOps Operations Console

TextClassification

Built a financial operations platform for managing refunds, disputes, and payment investigations at scale. Implemented multi-tenant data isolation to ensure separation between company accounts. Developed an automated risk classification engine for refunds, including SLA breach detection and prioritization. • Multi-tenant backend design and data isolation • Automated refund risk classification and SLA monitoring • Systems for dispute handling and payment investigation workflows • Scalable backend engineering for financial operations

2024 - 2025

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Education

Work History