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Schedule Interview NowMy name is James M. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: SOC 2, AI Compliance, Python, Application Security, NIST Cybersecurity Framework, etc.. I hold a degree in Master of Science in Information Technology (MSc(IT)), Bachelor of Science (BS). Some of the notable projects I’ve worked on include: LLM+RAG Document QA Demo, Invoice Data Extractor, Enterprise AI Compliance Checklist & Risk Assessment Framework, Real-time Compliance Scanner, Parseon. I am based in Cookeville, United States. I've successfully completed 5 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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IBM
Short demo of a RAG system that answers questions from real documents. FastAPI backend, React frontend, 'text-embedding-3-small' for embeddings, and Qdrant for vector search.
Description: Extracts vendor details, line items, and totals from any invoice format (PDF, image, or scanned). Uses GPT-4 Vision to handle poor-quality scans. Outputs structured JSON ready for accounting software.
Comprehensive compliance toolkit for AI companies preparing for enterprise sales or SOC 2 audits. This package includes two professional-grade templates that I use with clients to assess AI compliance readiness and identify security gaps before they become audit failures. What's Included: -SOC 2 Readiness Checklist for AI Companies (8-page framework) -AI Risk Assessment Template (12-page methodology) Based On: Current 2025 guidance from NIST AI Risk Management Framework, AICPA Trust Services Criteria, and EU AI Act requirements.
AI-powered content analysis that checks for bias, GDPR violations, and copyright issues in seconds. Provides instant rewrite suggestions and compliance scoring. Built for HR teams and content creators who need to ensure their materials meet compliance standards.
Built Parseon, an AI-powered vulnerability scanner that automates security assessments. Using Python, FastAPI, and vector databases, created a solution that reduces manual vulnerability analysis by 80%+ while providing actionable remediation insights.
Master of Science in Information Technology (MSc(IT)) in
2021-01-01-2022-01-01
Bachelor of Science (BS) in
2018-01-01-2021-01-01