Open to opportunities

Pooya Nasiri

@pooyanasiri

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AI & software engineer specializing in agentic LLM systems, computer vision, and scalable architectures.

Italy

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What I'm looking for

I seek roles building production ML systems and agentic workflows where I can optimize latency, scale architecture, and deliver measurable operational impact.

I am an AI and software engineer with a strong track record building agentic LLM systems, production-ready computer-vision pipelines, and high-performance software across embedded and cloud environments.

Over 5+ years I have designed autonomous workflows and scalable system architectures, delivering measurable impacts such as reduced route planning time, lower authentication latency, and high-availability safety dashboards.

My technical breadth spans Python, C#/C++, Swift, deep learning frameworks (TensorFlow, PyTorch), LangChain-based agent orchestration, and MLOps tooling including Docker, Kubernetes, and cloud platforms.

I hold an M.Sc. in Computer Engineering (AI) and focus on practical, deployable solutions—optimizing latency and reliability while enabling edge inference and production-ready ML services.

Experience

Work history, roles, and key accomplishments

AI Engineer

Javis SRL

Mar 2024 - Dec 2024 (9 months)

Engineered a hybrid MILP + deep-learning pipeline for logistics optimization and demand forecasting, reducing route planning time by 15% and eliminating 10 hours/week of manual adjustments.

Python MongoDB Deep Learning demand planning Optimization Data Pipelines

Senior Software Developer

Vancosys Inc.

Nov 2021 - Oct 2022 (11 months)

Architected secure cross-platform authentication applications implementing FIDO/PKI protocols and optimized cryptographic C#/Swift implementations to reduce authentication latency by ~25%.

C++Swift FIDO PKI Cryptography Cross Platform Development Security Performance Optimization

Software Developer

Azar Liopad

Aug 2020 - Sep 2022 (2 years 1 month)

Led full-stack development for smart firefighting systems, building multi-threaded WPF applications for real-time data and achieving 99.9% system uptime for safety monitoring dashboards.

C++WPF Multithreading Full Stack Developer Real Time Systems Dashboards

R&D Hardware Specialist

Tajhiz Teb

May 2019 - Mar 2021 (1 year 10 months)

Programmed low-level firmware in C/C++ for ARM/STM platforms and prototyped a mobile ECG unit, cutting prototyping iterations by 30%.

C++Embedded Systems Arm STM Firmware Development Prototyping Medical Devices

Education

Degrees, certifications, and relevant coursework

Università degli Studi di Padova

Master of Science, Computer Engineering - AI

2022 - 2025

Activities and societies: M.Sc. research project: TrustDistill (uncertainty-aware distillation for real-time image colorization).

Master of Science in Computer Engineering with a specialization in AI, focused on research in uncertainty-aware distillation and real-time image colorization for edge deployment.