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Billy N.

Billy N.

Senior Technical Account Manager, Amazon Web Services (AWS) — AI/ML solution correctness evaluation and agentic AI frame

United Kingdom flagLondon, United Kingdom

Key Skills

Software

Other

Top Subject Matter

AI/ML evaluation for agentic systems
Technical evaluation of data solutions for enterprise migration and correctness
AI/ML-adjacent technical training and structured validation of computational workflows

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

Data CollectionData Collection

Freelancer Overview

Senior Technical Account Manager, Amazon Web Services (AWS) — AI/ML solution correctness evaluation and agentic AI frame. Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Amazon Bedrock and Other. Education includes Bachelor of Science, Egerton University. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Senior Technical Account Manager, Amazon Web Services (AWS) — AI/ML solution correctness evaluation and agentic AI framework advisory

Provided AI/ML solution evaluation for enterprise customers by assessing correctness, assumptions, and constraints for agentic AI workflows. Supported Python-based data platform validation and technical evaluation processes used to verify AI reasoning against business and logic requirements. The work functions as an evaluation and rating layer for AI outputs rather than human annotation of labeled datasets. • Evaluated agentic AI solutions using Amazon Bedrock and Amazon Q • Performed systematic technical evaluation to identify gaps and implementation bugs • Validated AI reasoning against industry-standard logic and business requirements • Mentored engineers on AI evaluation frameworks and structured problem-solving methodologies

2024 - Present

Technical Account Manager, Amazon Web Services (AWS) — data solution validation and correctness evaluation with Python/SQL

Other

Applied Python and SQL to architect data solutions and validate technical designs using structured correctness and risk evaluation criteria. Performed multi-step evaluation of solution assumptions, constraints, and performance during migrations across enterprise accounts. This included evaluation of security and IAM integrations using rigorous constraint validation practices. • Architected technical solutions for database modernization and API integration strategies • Led migration planning for 300+ applications using structured evaluation criteria • Implemented security and IAM integrations across multi-account environments • Validated correctness and performance at each stage of design and migration

2020 - 2024

Lead Cloud Solution Architect, Digital Divide Data — Python-based cloud training curriculum and structured technical workload architecture

OtherData CollectionData Collection

Architected and delivered a structured Python-based cloud training program and fintech workloads. While not described as dataset annotation, the training work involved designing learning materials and practical technical exercises to validate computational solutions. The role focused on training and structured technical education that supports AI/ML adoption and engineering readiness. • Designed Python-based cloud training curriculum for applied engineering learning • Architected fintech workloads on AWS using infrastructure-as-code and CI/CD • Migrated 80+ VM fintech workloads with secure database architectures • Achieved 95% certification success by structuring technical curricula and validation labs

2016 - 2018

Cloud Support Engineer, Amazon Web Services (AWS) — architecture guidance and correctness-oriented design validation

Other

Provided enterprise support and architecture guidance for database and infrastructure workloads using AWS landing zones. Contributed to scalable architecture design using DynamoDB and RDS and produced best-practices documentation and reference architectures. The work included validating technical designs and producing structured documentation used for correctness and implementation guidance. • Designed scalable architectures using DynamoDB, RDS, and AWS landing zones • Produced best practices documentation and reference architectures • Provided architecture guidance for enterprise infrastructure workloads • Supported correctness-oriented design decisions for production systems

2013 - 2015

Education

E

Egerton University

Bachelor of Science, Computer Science

Bachelor of Science
Not specified

Work History

A

Amazon Web Services

Senior Technical Account Manager

London
2024 - Present
A

Amazon Web Services

Technical Account Manager

London
2020 - 2024