Alex Kiptalam

Senior Software Engineer and AI Engineering Specialist with over 10 years of experience designing, building, testing, and deploying enterprise software solutions across cloud, AI, automation, backend systems, and data engineering. Extensive experience leading distributed engineering teams, architecting scalable applications, optimizing cloud infrastructure, developing production-ready APIs, and reviewing AI-generated software. Demonstrated expertise in Python, Go, JavaScript/TypeScript, Linux systems, Docker, Kubernetes, AWS, PostgreSQL, Redis, Kafka, Terraform, and CI/CD pipelines.

Experienced in technical leadership, software architecture, machine learning infrastructure, workflow automation, code review, AI evaluation, and developer productivity. Recognized for improving software quality, reducing operational costs, accelerating deployment pipelines, and building highly reliable cloud-native systems serving millions of users.

Principal Software Engineer - NexusCloud Technologies Ltd.

(2024-01)

Designed and led development of enterprise cloud applications supporting over 15 million users across financial services and logistics.

• Led a team of 18 software engineers across backend, DevOps, and cloud infrastructure.
• Designed scalable microservice architectures using FastAPI, Go, Docker, and Kubernetes.
• Built secure REST APIs processing more than 120 million requests daily.
• Reduced cloud infrastructure costs by 38% through infrastructure optimization.
• Introduced automated testing pipelines increasing release confidence.
• Improved deployment frequency from weekly to multiple deployments per day.
• Established engineering standards for code quality and architecture.
• Led migration from monolithic applications to microservices.
• Implemented centralized logging and observability using Prometheus and Grafana.
• Mentored junior and senior engineers through architecture reviews.
• Increased platform uptime from 98.4% to 99.99%.
• Reduced API response times by 67%.
• Saved over $1.2 million annually through cloud optimization.
• Reduced production incidents by 72%.

Senior AI Software Engineer - Quantum Intelligence Labs

(2022-03 - 2023-12)

Worked on enterprise AI systems evaluating and improving Large Language Models.

• Reviewed thousands of AI-generated code solutions.
• Evaluated production readiness of generated software.
• Designed benchmark datasets for code generation models.
• Built automated evaluation frameworks.
• Created deterministic testing pipelines.
• Developed Python automation tools.
• Improved prompt engineering workflows.
• Designed software engineering benchmark tasks.
• Assisted in reinforcement learning data generation.
• Validated security and correctness of generated code.
• Improved benchmark accuracy by 27%.
• Reduced evaluation time by 45%.
• Increased reviewer agreement to 96%.

Software Engineering Consultant - TechFusion Solutions

(2020-01 - 2022-02)

Provided consulting services to startups across healthcare, fintech, logistics, and e-commerce.

• Designed backend architectures.
• Built scalable APIs.
• Developed ETL pipelines.
• Automated reporting systems.
• Optimized PostgreSQL databases.
• Containerized applications using Docker.
• Configured Kubernetes deployments.
• Built CI/CD pipelines.
• Created technical documentation.
• Led architecture reviews.
• Reduced deployment times by 81%.
• Improved database performance by 54%.
• Automated reporting saving 600+ staff hours annually.

AI Coding & Automation Specialist - Vetto (Remote Contract)

(2026-01)

Participated in Vetto's Coding & Automation Scenarios campaign focused on evaluating advanced AI coding models.

• Authored realistic software engineering scenarios covering Python, ETL pipelines, PostgreSQL, Docker, cloud storage, APIs, automation workflows, Next.js, Socket.io, dbt, and enterprise integrations.
• Designed multi-turn engineering conversations to evaluate AI reasoning across debugging, architecture, testing, and optimization tasks.
• Created production-inspired coding challenges involving automation, backend systems, data engineering, and workflow orchestration.
• Reviewed AI-generated code for correctness, efficiency, maintainability, security, and edge-case handling.
• Produced detailed technical specifications and acceptance criteria for engineering tasks.
• Worked closely with reviewers to improve prompt quality and technical realism.
• Successfully completed 5 approved software engineering stories, each passing 17/17 expert review checkpoints.
• Developed benchmark scenarios used to stress-test AI coding assistants on real-world engineering workflows.
• Maintained a 100% approval rate across submitted scenarios.

Software Engineer - BlueWave Digital Solutions

(2017-01 - 2020-12)

• Developed enterprise backend systems.
• Built APIs.
• Designed automation tools.
• Created reporting platforms.
• Developed cloud-native applications.
• Optimized SQL queries.
• Implemented Docker.
• Maintained CI/CD pipelines.

Junior Software Developer - Digital Systems Africa

(2015-01 - 2017-12)

• Developed Python applications.
• Maintained web applications.
• Performed debugging.
• Wrote documentation.
• Built automation scripts.
• Supported Linux infrastructure.

Bachelor of Science - Computer Science - University of Nairobi (2015)