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I am a backend software engineer passionate about bridging backend engineering with AI/ML integration to deliver intelligent, scalable, and impactful digital solutions. I’ve been at the forefront of spearheading organizations towards AI-driven transformation—enabling automation, smarter workflows, and data-powered decision-making across platforms. With 8+ years of experience, I specialize in building scalable REST APIs, distributed systems, and backend architectures that integrate AI models, natural language processing, and real-time event streaming. I’ve led initiatives that operationalize machine learning, from automating audio transcription pipelines to integrating large language models (LLMs) for AI scoring in production systems. At Talent500, I’ve architected and deployed backend systems that handle 100,000+ daily API requests with 99.99% uptime, while embedding AI/ML workflows directly into hiring pipelines. I optimized asynchronous processing with Celery, RabbitMQ, and Kafka; deployed scalable cloud infrastructure on AWS; and improved system performance and cost efficiency. Previously at Ol Pejeta Conservancy, I spearheaded the development of mission-critical applications, migrated platforms to containerized and cloud-native architectures (Docker, AWS ECS), and led CI/CD adoption to improve release velocity. I collaborated across departments to customize solutions that met operational and customer needs, while mentoring engineers and delivering tech education through the Annual Women in Conservation Technology Conference. Earlier at Mawingu Networks, I built REST APIs and automation tools in Node.js, introduced test-driven development (Mocha, Chai, Jest), and optimized backend systems to enhance performance and maintainability. Today, I’m passionate about helping organizations unlock AI/ML potential within scalable backend systems transforming manual workflows into data-driven, automated solutions that scale. I thrive in environments where engineering, AI innovation, and business needs intersect.…I am a backend software engineer passionate about bridging backend engineering with AI/ML integration to deliver intelligent, scalable, and impactful digital solutions. I’ve been at the forefront of spearheading organizations towards AI-driven transformation—enabling automation, smarter workflows, and data-powered decision-making across platforms. With 8+ years of experience, I specialize in building scalable REST APIs, distributed systems, and backend architectures that integrate AI models, natural language processing, and real-time event streaming. I’ve led initiatives that operationalize machine learning, from automating audio transcription pipelines to integrating large language models (LLMs) for AI scoring in production systems. At Talent500, I’ve architected and deployed backend systems that handle 100,000+ daily API requests with 99.99% uptime, while embedding AI/ML workflows directly into hiring pipelines. I optimized asynchronous processing with Celery, RabbitMQ, and Kafka; deployed scalable cloud infrastructure on AWS; and improved system performance and cost efficiency. Previously at Ol Pejeta Conservancy, I spearheaded the development of mission-critical applications, migrated platforms to containerized and cloud-native architectures (Docker, AWS ECS), and led CI/CD adoption to improve release velocity. I collaborated across departments to customize solutions that met operational and customer needs, while mentoring engineers and delivering tech education through the Annual Women in Conservation Technology Conference. Earlier at Mawingu Networks, I built REST APIs and automation tools in Node.js, introduced test-driven development (Mocha, Chai, Jest), and optimized backend systems to enhance performance and maintainability. Today, I’m passionate about helping organizations unlock AI/ML potential within scalable backend systems transforming manual workflows into data-driven, automated solutions that scale. I thrive in environments where engineering, AI innovation, and business needs intersect.

PATRICIA MURAURA

Back-End Developer, Developer, Database Developer, +1

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I am a backend software engineer passionate about bridging backend engineering with AI/ML integration to deliver intelligent, scalable, and impactful digital solutions. I’ve been at the forefront of spearheading organizations towards AI-driven transformation—enabling automation, smarter workflows, and data-powered decision-making across platforms. With 8+ years of experience, I specialize in building scalable REST APIs, distributed systems, and backend architectures that integrate AI models, natural language processing, and real-time event streaming. I’ve led initiatives that operationalize machine learning, from automating audio transcription pipelines to integrating large language models (LLMs) for AI scoring in production systems. At Talent500, I’ve architected and deployed backend systems that handle 100,000+ daily API requests with 99.99% uptime, while embedding AI/ML workflows directly into hiring pipelines. I optimized asynchronous processing with Celery, RabbitMQ, and Kafka; deployed scalable cloud infrastructure on AWS; and improved system performance and cost efficiency. Previously at Ol Pejeta Conservancy, I spearheaded the development of mission-critical applications, migrated platforms to containerized and cloud-native architectures (Docker, AWS ECS), and led CI/CD adoption to improve release velocity. I collaborated across departments to customize solutions that met operational and customer needs, while mentoring engineers and delivering tech education through the Annual Women in Conservation Technology Conference. Earlier at Mawingu Networks, I built REST APIs and automation tools in Node.js, introduced test-driven development (Mocha, Chai, Jest), and optimized backend systems to enhance performance and maintainability. Today, I’m passionate about helping organizations unlock AI/ML potential within scalable backend systems transforming manual workflows into data-driven, automated solutions that scale. I thrive in environments where engineering, AI innovation, and business needs intersect.…I am a backend software engineer passionate about bridging backend engineering with AI/ML integration to deliver intelligent, scalable, and impactful digital solutions. I’ve been at the forefront of spearheading organizations towards AI-driven transformation—enabling automation, smarter workflows, and data-powered decision-making across platforms. With 8+ years of experience, I specialize in building scalable REST APIs, distributed systems, and backend architectures that integrate AI models, natural language processing, and real-time event streaming. I’ve led initiatives that operationalize machine learning, from automating audio transcription pipelines to integrating large language models (LLMs) for AI scoring in production systems. At Talent500, I’ve architected and deployed backend systems that handle 100,000+ daily API requests with 99.99% uptime, while embedding AI/ML workflows directly into hiring pipelines. I optimized asynchronous processing with Celery, RabbitMQ, and Kafka; deployed scalable cloud infrastructure on AWS; and improved system performance and cost efficiency. Previously at Ol Pejeta Conservancy, I spearheaded the development of mission-critical applications, migrated platforms to containerized and cloud-native architectures (Docker, AWS ECS), and led CI/CD adoption to improve release velocity. I collaborated across departments to customize solutions that met operational and customer needs, while mentoring engineers and delivering tech education through the Annual Women in Conservation Technology Conference. Earlier at Mawingu Networks, I built REST APIs and automation tools in Node.js, introduced test-driven development (Mocha, Chai, Jest), and optimized backend systems to enhance performance and maintainability. Today, I’m passionate about helping organizations unlock AI/ML potential within scalable backend systems transforming manual workflows into data-driven, automated solutions that scale. I thrive in environments where engineering, AI innovation, and business needs intersect.

Available to hire

I am a backend software engineer passionate about bridging backend engineering with AI/ML integration to deliver intelligent, scalable, and impactful digital solutions. I’ve been at the forefront of spearheading organizations towards AI-driven transformation—enabling automation, smarter workflows, and data-powered decision-making across platforms.

With 8+ years of experience, I specialize in building scalable REST APIs, distributed systems, and backend architectures that integrate AI models, natural language processing, and real-time event streaming. I’ve led initiatives that operationalize machine learning, from automating audio transcription pipelines to integrating large language models (LLMs) for AI scoring in production systems.

At Talent500, I’ve architected and deployed backend systems that handle 100,000+ daily API requests with 99.99% uptime, while embedding AI/ML workflows directly into hiring pipelines. I optimized asynchronous processing with Celery, RabbitMQ, and Kafka; deployed scalable cloud infrastructure on AWS; and improved system performance and cost efficiency.

Previously at Ol Pejeta Conservancy, I spearheaded the development of mission-critical applications, migrated platforms to containerized and cloud-native architectures (Docker, AWS ECS), and led CI/CD adoption to improve release velocity. I collaborated across departments to customize solutions that met operational and customer needs, while mentoring engineers and delivering tech education through the Annual Women in Conservation Technology Conference.

Earlier at Mawingu Networks, I built REST APIs and automation tools in Node.js, introduced test-driven development (Mocha, Chai, Jest), and optimized backend systems to enhance performance and maintainability.

Today, I’m passionate about helping organizations unlock AI/ML potential within scalable backend systems transforming manual workflows into data-driven, automated solutions that scale. I thrive in environments where engineering, AI innovation, and business needs intersect.