Portfolio of Products: Ronald Wertlen

This is not an exhaustive list of products I worked on, it is merely an overview with some highlights and learnings.

JLB Smith Institute Specimen Loan System - 1994

Customer: JLB Smith Institute
Title: Specimen Loan Management System
Two-liner summary: Bespoke database solution for managing specimen loans with clearly defined requirements and success criteria, delivering an exact fit for the institute's specimen tracking needs.
Technology list: Pick 4GL RDBMS
Learnings: basics of software development; requirements engineering.

Customer: NISC Intl.
Title: Global Bibliographic CD Sales Management System
Two-liner summary: Office management software for global bibliographic CD sales business, handling sales tracking, royalty management, order fulfillment with peer-to-peer monthly data synchronization across international offices for decentralized control.
Technology list: Visual Basic, P2P networking
Learnings: Data modeling; decentralized architectures for global data synchronization; remote work ethics and management (working in USA from South Africa from 1995).

Customer: Serenata
Title: Windows Migration with MS SQL Multi-variate Analysis
Two-liner summary: Solved critical multi-variate analysis bottleneck during DOS-to-Windows migration using newly available MS SQL stored procedures, enabling essential functionality for entire global customer base with backward-compatible architecture.
Technology list: MS SQL Server, Stored Procedures, Windows
Learnings: Question authority and verify technical constraints yourself; new technologies (stored procedures) can solve problems at the right architectural level; importance of understanding customer pain points directly from sales; backward compatibility as a key consideration in architecture decisions.

Customer: neofonie GmbH
Title: Blast High-Throughput Search Indexer
Two-liner summary: Enterprise-grade C++ search indexer with high-throughput XML processing, NLP workflows (stemming, POS tagging), statistical and link-weighting algorithms, competing directly with Apache Lucene in the information retrieval market.
Technology list: C++, Java, XML, XPath, NLP, Template-based ETL, Web crawling
Learnings: Dangers of over-engineering for future requirements that don't materialize; grinding nature of progress and disruption in competitive markets; imperative to aim for being absolute best in your niche; critical importance of understanding and feeling the trajectory of your market niche; strategic decisions determine product success more than technical superiority.

Customer: Web.de
Title: Event-Loop HTTP Server with SVM-Clustered Search (node.js predecessor)
Two-liner summary: Single-threaded event-loop C++ HTTP server handling massive loads (10M req/day) on portal landing page, integrated with Google Search and SVM-based result clustering (500ms SLA) trained on Wikipedia and curated internet datasets.
Technology list: C++, Event-loop architecture, JVM, Google Search API, Support Vector Machine (SVM), HTTP
Learnings: Value of backing innovative architectural concepts within the team; importance of ensuring backend systems can match performance of novel front-end solutions; working under zero-error tolerance conditions; applied machine learning with real-world training data; high-performance systems design.

Customer: CSIR (Council for Scientific and Industrial Research, Pretoria)
Title: awarenet
Two-liner summary: Offline peer-to-peer content management system simulating asynchronous social media interactions in classrooms for rural data collection, pivoted from income platform concept to EdTech solution for impoverished South African communities.
Technology list: PHP (custom framework), HTML, CSS, JavaScript, P2P networking, CMS architecture
Learnings: Build vs. buy negotiations with senior developers; importance of leveraging open source (Moodle, OLPC) rather than building custom; balance of tactical and strategic considerations; friction between R&D and product departments; product management perspective vs. R&D perspective; financial constraints impact technical decisions; long-term social impact can outlive software products. See also [awarenet.org].

Customer: Doc Cirrus GmbH / Medical practices
Title: Doc Cirrus Practice Management System
Two-liner summary: Highly regulated hybrid cloud medical practice management platform with case files (lab, telemedicine, ophthalmology), calendar, messaging, invoicing, and business process automation, achieving medical device certification with custom WebRTC/SCTP implementation.
Technology list: node.js, mongoDB, YUI, Express, websockets, P2P networking, Cryptography, X.501, Cloud infrastructure (hybrid), Business process management, ML pipelines, FHIR, LDT, BDT.
Learnings: Build vs. buy decisions; independent quality assurance practices; developer-based product management; applied product research with ML pipelines; product management by proxy; strategic risk-based product roadmaps; optimization sprints/cycles; secure development lifecycle (SSDLC); medical device certification and regulatory compliance; low-level technical RTC implementation; business process management as product foundation.

Customer: Nowtilus
Title: High-Throughput Server-Side Ad Insertion (SSAI) Platforms
Two-liner summary: Performance-critical cloud SaaS product for server-side advertisement insertion in video streams and broadcast TV, requiring reproducible load testing, systematic quality assurance, and close collaboration between technical development and product management.
Technology list: MongoDB, MS Azure, GCP (Google Cloud Platform), node.js, typescript, ReactJS, golang, bash, helm, terraform, Kubernetes, ArgoCD, API integrations, DevOps automation, ISO 27001 security
Learnings: Deliver an increment every sprint, even if small; importance of developers embodying product management knowledge; reproducible load testing for high-performance systems; systematic test suites; trust in team during crisis situations; close relations between engineering and product management for technical products; security practices and ISO 27001 certification; roadmap strategy; DevOps practices; cloud administration at scale (MongoDB, Azure, GCP); Microsoft's AI development environment advantages.