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AI Engineer with a strong foundation in machine learning and large language model systems, building production-grade platforms for carbon accounting, spend analysis, and conversational agents. Experienced across full-stack development and MLOps, including shipping ML infrastructure and optimizing cloud resource allocation. Previously worked on scalable telemetry/ML solutions in Microsoft Azure Resource Central and developed LLM-powered enterprise automation for sustainability and spend reporting. Also has teaching/mentoring experience and a research background in low-latency, real-time speech tasks.…AI Engineer with a strong foundation in machine learning and large language model systems, building production-grade platforms for carbon accounting, spend analysis, and conversational agents. Experienced across full-stack development and MLOps, including shipping ML infrastructure and optimizing cloud resource allocation. Previously worked on scalable telemetry/ML solutions in Microsoft Azure Resource Central and developed LLM-powered enterprise automation for sustainability and spend reporting. Also has teaching/mentoring experience and a research background in low-latency, real-time speech tasks.

Filip Tsadanan

AI Engineer, Software Engineer, Full Stack Developer, +2

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AI Engineer with a strong foundation in machine learning and large language model systems, building production-grade platforms for carbon accounting, spend analysis, and conversational agents. Experienced across full-stack development and MLOps, including shipping ML infrastructure and optimizing cloud resource allocation. Previously worked on scalable telemetry/ML solutions in Microsoft Azure Resource Central and developed LLM-powered enterprise automation for sustainability and spend reporting. Also has teaching/mentoring experience and a research background in low-latency, real-time speech tasks.…AI Engineer with a strong foundation in machine learning and large language model systems, building production-grade platforms for carbon accounting, spend analysis, and conversational agents. Experienced across full-stack development and MLOps, including shipping ML infrastructure and optimizing cloud resource allocation. Previously worked on scalable telemetry/ML solutions in Microsoft Azure Resource Central and developed LLM-powered enterprise automation for sustainability and spend reporting. Also has teaching/mentoring experience and a research background in low-latency, real-time speech tasks.

Available to hire

AI Engineer with a strong foundation in machine learning and large language model systems, building production-grade platforms for carbon accounting, spend analysis, and conversational agents. Experienced across full-stack development and MLOps, including shipping ML infrastructure and optimizing cloud resource allocation.

Previously worked on scalable telemetry/ML solutions in Microsoft Azure Resource Central and developed LLM-powered enterprise automation for sustainability and spend reporting. Also has teaching/mentoring experience and a research background in low-latency, real-time speech tasks.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Language

English

Advanced

Romanian, Moldavian, Moldovan

Fluent

Work Experience

Lead AI Engineer at BeWo

October 2, 2025 - April 2, 2026

Led a team of four engineers to ship a production spend-calculation platform using LLM-based AI agents for data classification and spend allocation. Designed and implemented a full-scale carbon accounting web platform (AI Engineering in Python, backend in ASP.NET, frontend in Angular). Built and operated a production conversational agent (Node.js, MCP protocol) that helps users query classified procurement data to surface insights like top-spend products and CO2 impact. Led customer engineering including customer-facing POCs and architecture/review sessions; translated complex requirements into actionable milestones and communicated trade-offs. Delivered technical demos and trainings to customer teams to guide evaluations and drive platform adoption. Managed with direct manager: Mikkel Bering Alstrup (CEOMLops Engineer).

MLOps Engineer Intern at Microsoft (Azure Resource Central team)

July 1, 2025 - September 2, 2025

Engineered large-scale telemetry and machine learning solutions to build predictive models for VM workload behavior, directly optimizing global resource allocation and hardware efficiency across Microsoft cloud infrastructure. Shipped and operated production-ready ML infrastructure used for resource allocation in data centers across Europe and North America. Migrated Azure Resource Central AI monitoring pipelines from AML SDK v1 to v2.

AI Engineer (Part-time) at BeWo

November 2, 2023 - June 2, 2025

Leveraged ML and NLP research to develop core LLM-powered AI engine that automated spend analysis and sustainability reporting for enterprises across Europe and Asia. Built a custom invoiced data extraction model for structured output, reducing cost by ~80% compared to Azure Document Intelligence and improving accuracy by ~15% via systematic LLM evaluation and benchmarking. Developed agent-based carbon allocation workflows integrating with enterprise ERP systems (retrieval, failure handling, guardrails) to compute end-to-end carbon footprints. Built an agent-based spend analysis system that orchestrates AI agents to classify/categorize spend data for downstream financial reporting.

POC Builder (Contract Second Sale) at SecondSaIe

September 2, 2023 - November 2, 2023

Developed an ASP.NET proof of concept that gathered data from Denmark’s two largest re-sale platforms and displayed it to customers in a user-friendly manner.

Full Stack Developer (Part-time) at TSS-Yonder

March 2, 2022 - April 2, 2023

Worked as a full stack developer (ASP.NET and Angular) across two multicultural teams. Team 1 developed a healthcare web platform tracking patient placement and discharge, deployed across 200+ hospitals in the US. Team 2 upgraded a large accounting platform used by the Canadian educational system.

Computer Science Tutor at Babeș-Bolyai University Foundation

October 2, 2021 - June 2, 2022

Prepared twelve grade students for the computer science final exam. Students started with minimal informatics knowledge and struggled during classes; by year-end, both students achieved a 9.6/10 at the final informatics exam, supporting university admissions.