shaikh hamza

Building AI-native learning infrastructure for an education platform serving multilingual learners and students with disabilities. As one of the early engineers, I own foundational systems across LLM infrastructure, OCR and document processing, content extraction, browser automation, and backend reliability.

I’ve architected a multi-provider AI platform across OpenAI, Anthropic, and Google, built a hybrid OCR pipeline with content-addressed caching and concurrent job processing, and developed content-extraction systems powering AI experiences across 10+ educational platforms. I also work across the full stack, from backend infrastructure and AI pipelines to Chrome extensions and user-facing product functionality.

• Spearheaded the development of a fully customizable dashboard managing 1M+ records/month, incorporating LLM-based summarization and anomaly detection, reducing manual analysis time by 40%.
• Enabled natural language querying using OpenAI/GPT models, allowing non-technical users to easily generate custom reports.
• Optimized Elasticsearch with read replicas and fine-tuned queries, resulting in a 50% reduction in API latency.
• Designed and implemented the attribution reporting system from the ground up, improving data processing speed by 45%.
• Deployed and managed Kubernetes-orchestrated microservices for autoscaling, minimizing system downtime.
• Automated customer feedback workflows using GPT-4 and NLP, achieving 95% resolution within 24 hours and reducing support costs by 30%.