Vinita Silaparasetty
Most AI compliance failures are not model failures or legal failures. They are architecture failures. Built wrong from the start, before anyone asked what the EU AI Act would require.
My current focus, working under Aevoxis Solutions (a project of SMartDe eG) is EU AI Act compliance engineering for agentic and generative AI systems — specifically Articles 9, 12, 13, 14, 17, and 50, translated from regulatory obligation into production architecture decisions. I have published two peer-reviewed preprints on Article 50 implementation and have a paper under review at IEEE Software documenting twelve empirical failure modes found by stress-testing a live governance system.
I have been identifying these kinds of structural gaps before the industry names them. A decade ago that meant a patented VR headset designed around human ergonomics when the industry was still ignoring them. Now it means AI systems designed around EU AI Act obligations before most engineering teams have read the regulation.
The pattern is the same. The domain has changed.
If your organisation has deployed a generative AI system, a chatbot, a copilot, or a RAG-based assistant, it almost certainly has obligations under the EU AI Act right now. The gap most teams face is not legal understanding. Their lawyers can identify the problem. The gap is that nobody on the team can fix the architecture. That is where I work.
Book a compliance discovery call: info@aevoxis.de
REVIEWS FROM CLIENTS
EU AI Act compliance engineering for enterprises deploying generative and agentic AI in regulated environments — specifically where th...
EU AI Act compliance engineering for enterprises deploying generative and agentic AI in regulated environments — specifically where the legal requirement meets the codebase.
Compliance is designed into the architecture from day one: transparency layers, human oversight gates, audit trails, and logging mechanisms built as structural components, not retrofitted after deployment.
All tools are open source. The Spec-Drift Chronometer, an EU AI Act compliance monitoring framework, was recognised as a Top 300 finalist in the AWS 10,000 AIdeas competition.
Research output includes two published SSRN preprints on Article 50 implementation and an empirical paper under review at IEEE Software documenting twelve failure modes found by stress-testing a live governance system.
If your team is building or has deployed a generative or agentic AI system and needs the architecture to hold up under EU AI Act scrutiny, book a discovery call: info@aevoxis.de
Served as the R&D architect for our family-led lean startup. I bridged the gap between high-level business strategy and hands-on t...
Served as the R&D architect for our family-led lean startup. I bridged the gap between high-level business strategy and hands-on technical execution, focusing on positioning the company at the forefront of the Agentic AI shift. I am a certified peer reviewer (Oxford) and invited to reviewer pools at Elsevier and IEEE. International speaker (NPS 8.7/10)
-Hands-on R&D: Personally architected and coded functional proof-of-concept (PoC) demos to showcase AI capabilities to stakeholders and clients, ensuring compliance with DPDPA and UK-GDPR.
-Public Representation: Acted as the primary technical voice for the company in speaking engagements, explaining complex data architectures to non-technical audiences. Offered mentoring at hackathons and study groups.
- Goethe-Zertifikat A1: Start Deutsch 1 | Secured 81% in the exam ( Full time Study: July 2024 to September 2024 | Exam date: 16.09.2024)