Jainish Parekh

• Spearheaded end-to-end development of a B2B SaaS platform for accounting firms using React, TypeScript, and Node.js, implementing scalable frontend architecture and real-time data synchronisation • Designed and maintained robust REST APIs to manage sensitive financial transaction logs and client data • Mentored junior engineers through structured code reviews. Served as the primary technical contact for international clients, translating business requirements into technical roadmaps and deliverables.

• Contributed to production web applications using React.js and Node.js/MongoDB , delivering reusable UI components and RESTful API integrations that enhanced platform functionality. • Developed and integrated reusable UI components and RESTful APIs to enhance platform functionality and user experience. • Designed and optimised NoSQL MongoDB schemas for efficient data retrieval and improving response times. • Worked in an Agile team alongside senior developers and participating in code reviews

• Advanced ML & Deep Learning: Neural network architectures, optimisation techniques, and industrial AI deployment. • Integrating AI into manufacturing processes, predictive maintenance, and quality assurance. • Data Science : Large-scale industrial dataset processing and data-driven decision-making. • Applied understanding of LLMs and enterprise AI integration patterns. • Ethical & Legal Aspects of AI: EU AI Act compliance and ethical considerations for autonomous systems.

• Full-Stack Software Engineering: Advanced JavaScript/TypeScript proficiency; scalable web architectures and real-time data processing systems. • AI & Machine Learning: Development and deployment of Deep Learning models (CNNs, RetinaNet, MobileNetV2); Computer Vision and Model Benchmarking. • Data Science & Backend: Relational and non-relational database design (MongoDB, SQL) • Agile Methodology: Scrum-based project management; technical team leadership and intern mentoring