Desmond Andiir

Designed and managed automation pipelines using n8n and Python to optimize workflows and ensure seamless data synchronization.

Built and deployed intelligent RSVP and event-processing systems using Google APIs, webhooks, and n8n for automated, real-time event management.

Conducted deep research and data collection to support compliance automation, accuracy checks, and performance optimization.

Integrated APIs between internal tools and client platforms to improve reporting, analytics, and real-time data access.

Developed a multi-agent AI system that analyzes resumes, maps roles to SOC codes, forecasts career growth, identifies in-demand skills, and recommends tailored learning paths.

Integrated Gemini LLM, Adzuna, DataUSA, YouTube APIs, and an automated Streamlit dashboard to provide comprehensive career insights.

Monitored automation health and performance using Grafana, Prometheus, and cloud-based observability dashboards to ensure system reliability and efficiency.

Trained and optimized a CNN classifier for Cats vs. Dogs, achieving 99% accuracy, outperforming baseline models and enhancing classification reliability.

Developed and fine-tuned advanced deep learning models, including GANs, Autoencoders, and Object Detection networks, for image generation, feature extraction, and real-time detection tasks.

Built and deployed production-ready ML pipelines, integrating model serving, API endpoints, and monitoring tools to ensure high availability and scalable performance.