I am a problem solver and a builder. Then, a software engineer with extensive experience across multiple sectors, having worked in technology foundations, healthcare technology, educational technology, industrial corporations, and energy infrastructure. Throughout my career, I have contributed to organizations such as Buzz Solutions, General Electric, Barestripe Tech, OpenMined Foundation, and Konfidio UG, gaining diverse exposure to different industry challenges and technological landscapes, primarily focusing on SaaS and business-to-consumer (B2C) applications.
My professional journey has taken me through various industries where I have tackled complex technical challenges in SaaS and B2C environments. At General Electric, I facilitated the development and deployment of an AI-based in-house GE Translation Tool from Proof of Concept to go-live by coordinating with Developers and DevOps teams which reduced translation time from days to a few minutes. I led cross-functional teams to implement the Cash Automation Dashboard that met compliance audit requirements, achieved 17% reduction in arrears through enhanced delinquent customer identification, driven by continuous end-user feedback. At the same time, I managed IT infrastructure and cybersecurity initiatives for large-scale operations.
My work with Buzz Solutions was short-lived and involved developing vision-powered intelligence systems for energy infrastructure, focusing on AI-driven visual analysis to identify defects and optimize maintenance operations across energy ecosystems. At Konfidio UG, I migrated to OpenID Connect, strengthening authentication protocols and enhancing system security through role-based access control, which bolstered trust and compliance across the logistics network and clients. I equally automated an event-driven state machine for a high-volume Broker License and Document qualification system, reducing complex user claims and lowering costs for supply-chain stakeholders. I also integrated a real-time dynamic pricing model API, optimizing freight service offerings to improve conversion rates.
I have extensive experience integrating large language models (LLMs) into production systems, with a focus on privacy-preserving AI and developer tooling. At OpenMined Foundation, I engineered the Syftbox Python SDK that streamlines both public and private LLM integration, reducing deployment costs while upholding strict privacy protocols.
As the architect of the SyftBox SDK, I created a client library that empowers researchers to securely discover and interact with distributed AI services. The SDK offers unified access to decentralized AI through automatic service discovery, supports chat and search workflows, and features Retrieval-Augmented Generation (RAG) pipelines that orchestrate multiple AI services. It ensures thread-safe operations for complex service interactions and incorporates integrated accounting for premium AI usage.
These projects highlight my ability to deliver scalable, privacy-conscious LLM integration solutions that enable organizations to harness advanced AI while safeguarding sensitive data.
My project portfolio spans several critical areas of modern software development, including LLMs, machine learning applications for industrial infrastructure, healthcare technology, educational platforms, and supply chain optimization. Through my work in energy infrastructure intelligence, I have contributed to AI-powered inspection systems that process millions of requests to identify hidden risks and defects across energy networks.
In healthcare technology, I developed encrypted Electronic Health Record (EHR) systems implementing comprehensive data protection both at rest and in transit, ensuring HIPAA compliance while maintaining system performance. This work involved designing cryptographic protocols that secured sensitive medical data without compromising accessibility for authorized healthcare providers.
I have made significant contributions to privacy-preserving AI evaluation through my work on secure enclaves, collaborating with organizations like Anthropic and the UK AI Security Institute to pilot secure computation environments for AI model evaluation. This groundbreaking work represents the first practical implementation of NVIDIA H100 secure enclaves for cross-organizational AI evaluation.
My academic background in biomedical engineering has informed my approach to computational problem-solving, particularly in optimization and simulation. My master's thesis, conducted in partnership with Steeper, a leading orthotic company, focused on using finite element modeling to analyze how different material combinations affect pressure distribution and friction coefficients in 3D-printed orthotic insoles. This work, which examined 22 material samples, directly influenced clinical prescribing practices and demonstrated the practical application of computational modeling in healthcare solutions.
I maintain a strong interest in how computational modeling and AI can be applied to a variety of real-world challenges, from industrial monitoring and supply chain optimization to healthcare data security and predictive maintenance, with a particular focus on privacy-preserving technologies and cryptographic systems. This commitment extends to my open-source work, including contributions to the Node.js documentation repository, where I created comprehensive guides for the native WebSocket client. These contributions demonstrate my dedication to creating clear, accessible documentation and my ability to improve complex technical systems for the wider developer community.
My technical expertise spans multiple programming languages and frameworks, with particular strength in Python, TypeScript, computer vision systems, healthcare data encryption, supply chain management systems, and distributed systems. I hold several industry certifications including CISSP, PMP, and various cloud platform certifications, reflecting my commitment to maintaining current knowledge in cybersecurity and project management.
I am particularly drawn to projects that combine technical innovation with social responsibility, especially those addressing privacy, security, ethical AI deployment, healthcare data protection, educational accessibility, and critical infrastructure protection. My work consistently focuses on building SaaS and B2C systems that protect user privacy and data integrity while enabling valuable technological advancement across diverse sectors.
I excel at identifying gaps within systems and processes and driving implementation from concept through delivery. My expertise span:
Contact: You can reach me at callisezenwaka@barestripe.com or visit Barestripe.com for more information about my consulting services.