About Ameet
I help businesses streamline operations and build intelligent, automated systems using Generative AI, Large Language Models, and end-to-end machine learning solutions. If you need to automate workflows, enhance customer experience, extract insights from documents, or integrate AI into your product, I can deliver production-ready solutions tailored to your needs.
I specialize in developing LLM-powered applications, including chatbots, document-processing pipelines, speech-to-text QA systems, Text-to-SQL tools, recommendation engines, and agent-based automation. With hands-on experience using OpenAI APIs, Mistral, Hugging Face, LangChain, OCR systems, and n8n, I handle everything from research and prototyping to deployment and integration.
What sets me apart is my ability to transform complex business requirements into scalable, accurate, and reliable AI systems. I focus heavily on model evaluation, prompt engineering, explainability, and user experience—ensuring the solutions I build are not only powerful but trustworthy and easy to use.
Typical projects I work on include:
- Automated QA systems for call center or customer interactions
- Resume parsing, candidate scoring, and AI-driven recruitment tools
- Intelligent invoice and document processing using OCR + LLMs
- Multi-PDF chatbots and knowledge-based assistants
- Text-to-SQL agents and enterprise data automation
- Custom LLM integrations, fine-tuning, and agentic workflows
- NLP chatbots, recommendation systems, and predictive models
If you're looking for an AI engineer who can design, build, and deploy real-world solutions that create measurable impact, I’d be happy to help bring your project to life.
Italian
Conversational
English
Native or bilingual
Can work on-site
Milan (up to 50km)
Experience
- EMPIREONEARTIFICIAL INTELLIGENCE EXPERTMay 2024 - Today (2 years and 1 month)• Led the design and development of an AI-powered QA pipeline for call center recordings, applying speech to-text modules and LLMs like MistralAI to analyze key call elements such as tone, intent, and compliance. This solution improved quality monitoring and enabled actionable feedback at scale.• Built an AI-based recruitment system using OpenAI APIs and n8n for workflow automation, enabling smart resume parsing, candidate scoring, and automated communication—streamlining the end-to-end hiring process.• Developed an automated financing system for daily invoice processing by leveraging open-source OCR tools to extract structured data from documents, then passing extracted content through LLMs to improve classification, validation, and reconciliation accuracy.• Researched and implemented AI trends using tools like Hugging Face, led full-cycle development including prompt engineering, evaluation, and reporting.• Drive the design and deployment of advanced AI models and systems to solve real-world business problems. Collaborate across departments to identify AI opportunities and integrate intelligent solutions into existing infrastructure.• Provide technical leadership on AI initiatives, mentor team members, and ensure ethical, fair, and responsible deployment of machine learning technologies.
- APPEDOLOGYAI ENGINEER, TEAM LEAD OF R&DDecember 2023 - May 2024 (5 months)• Developed innovative solutions using Open Source Large Language Models (LLMs) for various applications. Notably, created a Multi-PDF Chatbot and a Text-to-SQL Chatbot, showcasing advanced capabilities in natural language understanding and processing.• Led the development of a cutting-edge system where users provide prompts, and the team's specialized agents work synergistically, to streamline the SDLC, akin to metaGPT.• Maintained an active role in the research and implementation of cutting-edge technologies, staying abreast of industry trends and advancements in AI/ML fields.• Leveraged data science techniques to extract meaningful insights and data-driven decision-making processes.• Developed and optimized langchain Agents and Huggingface Models, resulting in improved performance and user experience
- APPEDOLOGYARTIFICIAL INTELLIGENCE ENGINEERSeptember 2023 - December 2023 (3 months)• Spearheaded the development of a recommendation system that increased user engagement by 30%, utilizing collaborative filtering and natural language processing techniques.• Developed a natural language processing-based chatbot for a customer support application.• Implemented a deep learning model for medical image segmentation in collaboration with healthcare professionals. Expertise in designing and implementing machine learning algorithms for classification, regression, clustering, and anomaly detection.
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Education
- Master of Artificial Intelligence for science and technologUniversità degli Studi di Milano-Bicocca2026
- APPLIED MACHINE LEARNINGCoursera2023