Open to opportunities

Bryson Kyle

@brysonkyle

Message

I build scalable, high-performance AI systems delivering measurable business impact.

India

Message

What I'm looking for

I seek a senior role building cloud-native, scalable AI products where I can design model-serving systems, integrate LLMs, optimize performance, reduce costs, and mentor teams within a collaborative, security-first culture.

I am a Senior AI Engineer with nine years of experience building scalable, intelligent systems. I design and deploy end-to-end AI-driven features, integrating LLM-powered services into React/Node.js applications and cloud-native architectures.

I have led migrations to microservices and Docker, and moved AI pipelines to AWS, enabling independent scaling of inference services and supporting a 40% increase in real-time traffic while reducing costs by 15%. I optimized model-serving and API throughput and latency by 20%, implemented automated testing achieving 85% coverage, and cut production errors by 25%.

I mentor junior engineers and establish security-first AI engineering practices, collaborating closely with product and design to ship AI-assisted research, recommendation, and content-discovery features that accelerate release cycles and improve user experience. I seek to continue delivering measurable impact through performant, cost-effective AI systems.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

SciSpace

May 2023 - Present (2 years 3 months)

Designed and deployed end-to-end AI-driven features integrating LLMs into React/Node.js apps, improving personalization and boosting throughput by 20%. Led migration to microservices and AWS, supporting a 40% rise in real-time traffic and reducing operational costs by 15% while improving model availability.

React Node LLMs)GraphQL REST APIs Docker Kubernetes AWS MongoDB

Backend Engineer

MongoDB

Jul 2020 - Dec 2022 (2 years 5 months)

Built and optimized APIs in Python, Go, and Node.js, improving application performance by 30% and supporting millions of daily users. Designed MongoDB solutions that cut query times by 40% and migrated legacy systems to increase data handling capacity by 50%.

Python Go Node MongoDB AWS Microservices Express Flask CI CD Testing

Junior Full Stack Engineer

Encova Insurance

Sep 2018 - Apr 2020 (1 year 7 months)

Built and optimized React/Node.js web applications that increased user engagement 21% and launched a feature that boosted daily active users 30% while reducing churn 24%. Improved SQL query efficiency to cut retrieval times by 35% and raised test coverage by 67%.