Hire Rekha S. - Generative AI Engineer

Research, apply and fine tune advanced generative models to teach intelligent systems that can boost productivity and ensure businesses stay ahead.

* Enhanced a collaborative cloud-based web platform for automating software metrics using Django's ORM. * Designed and implemented backend data models and complex queries on PG Vector DB, improving data retrieval efficiency. * Refined the backend with a Svelte frontend and Tailwind CSS, creating a responsive interface for product grading and quality management.

Designed and deployed a production-grade defect similarity search system leveraging OpenAI LLM embeddings, PGVector, and advanced key phrase extraction—achieving a 90% reduction in debug time across 1M+ internal and external defects. Built and scaled Flask-based APIs on secure VMs to support low-latency, enterprise-grade access; projected $$$K+ in quarterly savings with ongoing rollouts to additional defect repositories. Developed a clustering model to uncover defect trends across product generations—enabling proactive risk mitigation and boosting product quality. Created an AI-powered root cause analysis pipeline on Databricks, increasing triage speed by 90% and classification accuracy by 75%. Integrated insights into Power BI dashboards for real-time visibility. Enhanced models with leveraging Latent Dirichlet Allocation (LDA) for advanced topic modeling and key phrase extraction, enabling more accurate clustering of related defects based on underlying thematic patterns. Actively evangelized AI solutions across internal forums and conferences—driving adoption and cross-team collaboration with central defect repo, platform, and IT teams. Published, presented and reviewed technical papers in internal & external conferences (Design Technology, Software Professional, AI Conference, Women in AI, PNSQC etc.)