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Moses
Founding AI/Data Engineer
Currículo em vídeo
Contato
Competências
Demonstrated experience with Market Research.
Demonstrated experience with User Analytics.
Demonstrated experience with Product Research.
Demonstrated experience with Statistical Analysis.
Demonstrated experience with Machine Learning.
Formação acadêmica
Idiomas
Resumo
Founding AI/Data Engineer open to new opportunities
Experiência
Founding AI/Data Engineer
Founding engineer building the applied-AI platform behind an automated software analysis product, working directly with CEO Jared Green to set technical direction and take the platform from architecture to production.. Built the data layer powering 7 specialist AI agents running in parallel, each served a tailored knowledge-graph slice rather than raw context, cutting token usage and improving output quality.. Championed and designed a three-layer knowledge graph pipeline (curated industry knowledge base in FalkorDB/Cypher with 149 entity types, per-repository state extraction, and LLM-enriched analysis), enabling structured querying across large, messy codebases.. Engineered 20+ durable workflows and 120+ activities in Temporal (7 concurrent extractors across 20+ programming languages), with Kafka event streaming and a ClickHouse analytics warehouse feeding PostgreSQL, FalkorDB, and vector stores.. Balanced rigour with speed under startup timelines, e.g. shipping safely despite non-deterministic LLM extraction by enforcing schema validation at write time, then hardening iteratively with quality dashboards.. Owned the full observability stack (Grafana, OpenTelemetry) and production Kubernetes on GKE (Terraform, Helm, autoscaling, Vault-managed secrets).
AI Engineer & Software Architect
Owned a user-facing, full-stack AI application end to end, from requirements through design, implementation, testing, deployment, and maintenance with active users.. Designed and built the whole stack: a FastAPI backend with custom middleware, a multi-agent system coordinated by a central orchestrator, and data services on Supabase (PostgreSQL) and Redis.. Built the intelligence layer using LangChain and the Gemini API for the LLM workflows, a FAISS-backed RAG pipeline for semantic search, and scikit-learn, spaCy, and NLTK for CV parsing, entity extraction, and intent detection that routed user requests to the right agent.. Added a circuit-breaker pattern for graceful degradation and designed the codebase around clear separation of concerns and dependency injection, keeping it maintainable as agents were added.
AI & Forensic Engineer
Technical lead on forensic and e-discovery delivery for high-stakes litigation, working directly with CEO Rob Adams to align the AI roadmap with client and business needs and translating investigative findings into decisions for legal clients and leadership.. Developed an NLP and ML pipeline processing 1M+ documents with 99% accuracy for classification, extraction, and search, and a speech-to-text pipeline transcribing legal audio at 99% accuracy to speed client turnaround.. Architected and maintained pipelines across Relativity, CloudNine Law, and Microsoft Purview for data mining, extraction, and documentation, improving process efficiency by 30% and cutting retrieval time by 25%.. Gathered requirements directly from litigators and delivered tooling and reporting that turned technical output into decisions non-technical users could act on.
Data Science & Analytics Consultant
Provided data science and analytics consulting services to diverse organizations across fintech, banking, agriculture, supply chain, e-commerce, healthcare, and microfinance sectors.. Developed and deployed predictive models and data-driven solutions, improving operational efficiency by 40% for clients.. Designed and implemented a fraud detection model for banks and fintech companies, reducing fraudulent transactions by 75% and minimizing financial losses.. Engineered and deployed AI-powered chatbots for real estate agents, improving lead engagement and response time by 60%, leading to higher conversion rates.. Conducted in-depth customer interaction analytics across online platforms (customer reviews, ad clicks, social media, website interactions), optimizing marketing strategies and boosting customer retention by 35%.. Delivered user training sessions and workshops on analytics dashboards, tools, and data interpretation, empowering clients and teams to leverage data-driven decision-making.. Tracked customer engagement across trending topics on social media, analyzing interactions, sentiment, and ad performance. Delivered real-time dashboards that provided actionable insights, leading to a 20% improvement in targeted marketing campaigns and a 15% increase in customer retention.
Founding AI and Data Engineer
Used knowledge graphs to extract structured data from ingested code repositories using FalkorDB and Cypher, with 149 entity types; this became the core of how the platform answers questions.. Built the data platform with 20+ Temporal workflows and 120+ activities, Kafka streaming, a ClickHouse warehouse, PostgreSQL and vector stores, with schema contracts between producers and consumers.. Built the evaluation and cost layer that measures quality, latency and cost per component in Grafana and OpenTelemetry.. Run production on Kubernetes (GKE) with Terraform, Helm and Vault, and hold code standards through merge-request review.
Lead, AI and Automation, Finance and Audit
Automated tenders and expressions of interest: the system monitors Kenyan Government and UN procurement portals, and an LLM-as-a-judge gate scores each notice and clusters it with work already delivered.. Built letter of credit document automation with validation of trade documents.. Set approval workflows, prompt versioning, review checkpoints and audit logging as standards for every AI output.
AI Engineer, Trade Finance Document Intelligence
Build extraction and validation of letter of credit documents, with sanctions screening and Eximbills checks, under bank audit controls. A reviewer makes every decision.. Serve a 27B parameter model on one 48GB GPU, so bank data stays under bank control.. Built the cost model at 1 million documents per year that settled the build or buy decision.
Technical Lead, Forensic Data Platforms
Built NLP, OCR and ML pipelines over more than 1 million documents.. Integrated Relativity, CloudNine Law and Microsoft Purview.. Delivered for financial services clients, including State Farm, USAA and National Bank work through LoanDepot, with access control and retention rules over sensitive data.
Data Science and Analytics Consultant
Built a fraud detection model for banks and fintechs.. Delivered real-time analytics dashboards.
Data-Driven Budget Analyst
Performed financial reporting and reconciliation across a project portfolio above KSH 5 billion under public audit.. Forecasted resource allocation.
Habilidades
Transcrição do vídeo
Economic Research Analyst
Hello, my name is Moses, and I'm an actuarial science graduate and also with extensive experiences in data analysis, artificial intelligence, and also Python. I believe I'm the right candidate for the economic research analyst role because of the tools that I would leverage to ensure that I deliver value for the organization. Thank you so much.
AI and Data Analyst
Hello, my name is Moses, and I'm an AI and data analyst, and I came across the role of Economic Research Analyst for foreign investments, and I do believe that I'm a great fit. And the reason for saying that is due to my extensive experience and also the educational background that I have. I have an undergraduate degree.