Kinza Yousaf

I am a seasoned AI software engineer with 5+ years of industry experience building ML infrastructure, real-time personalization engines, and production AI products used by thousands. I combine strong technical execution with a business focus to turn prototypes into revenue-generating solutions.

At my most recent role I collaborated with the CTO from conception through launch, architecting adaptive-learning pipelines on GKE that doubled iteration speed and improved personalization accuracy by 34%. I built student-agent systems handling 5k+ concurrent users with sub-150ms responses, increasing session duration and retention.

Previously I engineered real-time ML backbones for high-throughput network systems, deploying containerized training and inference, integrating Kafka and Spark Streaming, and achieving sub-50ms tail-latency at 200Gbps while automating anomaly detection and protocol tagging with 98% accuracy. I also led teams to deliver full-stack features, mobile apps, and cloud-native microservices supporting thousands of concurrent users.

I prioritize human-centered AI, robust MLOps, and scalable cloud infrastructure to deliver measurable business outcomes—3x revenue lift and 5x ROI in past engagements. I enjoy mentoring teams, improving deployment velocity, and building product-led ML systems at early-stage, fast-paced companies.