Ahcene Cherif

Developed an AI-driven market intelligence platform designed to identify profitable opportunities across forex, commodities, and futures markets.

Integrated diverse market and economic data sources, applying advanced AI analysis via MCP and broker/data APIs for comprehensive insights.

Provided robust decision-support capabilities, empowering users with data-driven strategies without functioning as an autonomous trading bot.

Utilized Market Data APIs, Economic Data, and AI Analysis to deliver a powerful analytical tool for strategic market positioning.

Designed a decentralized AI inference protocol, focusing on verifiable inference and a native monetary layer for enhanced trust and security.

Developed an enclave-based architecture incorporating attestation, inference, and verification APIs to ensure cryptographic integrity of AI computations.

Introduced cryptographic receipts, a wallet system, and a minting mechanism to facilitate secure and transparent transactions within the protocol.

Pioneered research into secure AI inference, utilizing advanced concepts like Enclaves and Attestation to build a robust, decentralized solution.

Architected an AI-native hardware platform to translate plain-language device descriptions into verified electronic board candidates.

Automated critical design phases, including component selection, schematic generation, layout, and routing with native DRC/ERC checks.

Ensured manufacturing package (Gerbers, BOM, 3D preview, cost breakdown) release only after successful verification, enhancing production quality and efficiency.

Leveraged AI Agents, LLMs, and EDA Automation to create an intelligent design-to-manufacturing workflow, reducing development cycles.

Engineered Bonod, a ZATCA-compliant e-invoicing SaaS, streamlining financial operations for freelancers without requiring POS hardware.

Implemented automated ZATCA QR code generation and instant 15% VAT calculation, significantly reducing manual effort.

Developed features for monthly filing-ready reports, searchable invoice history, and PDF export, enhancing compliance and record-keeping efficiency.

Designed a fully bilingual platform with a REST API and pay-as-you-go pricing, maximizing accessibility and user flexibility.

Orchestrated the full product lifecycle, from concept and architectural design to full-stack development and deployment of AI-driven SaaS solutions.

Designed and implemented scalable system architectures, integrating diverse APIs and advanced AI models to create robust platforms.

Successfully deployed multiple production applications, demonstrating expertise in bringing complex technical projects to market.

Managed all aspects of product engineering, including MVP development, payment integrations, and ensuring product-market fit.

Launched Sotor, an AI-powered academic workspace, attracting over 22,000 users and significantly enhancing student productivity.

Integrated advanced AI functionalities including LLM APIs and RAG to provide APA citations, citation-accuracy checks, and plagiarism detection.

Developed bilingual (Arabic/English) content generation and DOCX/PDF export features, directly serving government university students.

Engineered the platform using React, TypeScript, Node.js, PostgreSQL, and Document Generation, ensuring high performance and scalability.