Eslam Tamim

Pipeline Quality & Observability Platform: Designed and built an internal Next.js testing suite cited by Yoono as the most impactful internal tool delivered. Reduced Azure Blob Storage sync time from over 2 hours to minutes through infrastructure optimisations.

Time-Series Regression Tracking: Implemented automated syncing and processing of up to 300MB result blobs, generating time-series visualisations to pinpoint pipeline degradation across deployments.

Article Diff & Full Pipeline Comparison Tools: Built tools to rerun up to 10k+ articles against any environment, surface the active GitHub branch, and produce structured diffs — enabling confident validation before promotion.

Article Matching Service: Developed and maintained a core pipeline microservice matching articles against individuals using profile data and interpersonal linkage graphs, processing up to 10k articles per run with LLM-based relevance evaluation (128k token context).

AI Summarisation Service: Built and maintained a microservice aggregating pipeline-collected data to generate structured, multi-dimensional personal and professional reports.

Records De-duplication POC: Delivered a successful POC using string similarity algorithms, clustering ML models, and Neo4j graph similarity — now being productionised.

Built LLM-based search microservices with RAG and LangChain. Integrated Chroma and Elasticsearch vector databases. Migrated Python query module to Node.js with TypeScript, Socket.io, and Express. Built Next.js app integrating Microsoft Graph API and Prisma for SharePoint/Google Drive search. Contributed to AI matching system and summarisation microservice using Azure Durable Functions and Neo4j.

Developed an internal tracking tool with Blazor Server and D3.js charts for data visualisation. Initiated a .NET MAUI Blazor Hybrid mobile app with API integration and notification service for the WHO GOARN project.