Rambod Rahmani

-‡ github.com/rambodrahmani ¯ linkedin.com/in/rambodrahmani r upwork.com/rambodrahmani Turin, Piedmont - Italy RAMBOD RAHMANI Software, AI and Data Engineer TECHNICAL SKILLS WORKING EXPERIENCE Freelance IT Consultant Jun 2024 – Present A.Z. Impianti S.r.l. Turin, Italy • As a full-stack Tech Lead, I collaborated with clients to define business requirements and lead architectural decisions, delivering robust, scalable, and maintainable software on time. Using Scrum methodology and ClickUp for sprint planning and remote coordination, I managed sprints, prepared demos, estimated timelines, and ensured code quality via GitHub PR reviews. • I implemented scalable backend services using Node.js and NestJS, in JavaScript and TypeScript within a microservices architecture, employing distributed locking for data consistency. Frontend interfaces were implemented using Angular or Vue.js with a Nuxt engine. I integrated InfluxDB to efficiently handle time-series data from IoT smart meters, optimized performance through Redis caching, and implemented Pub/Sub messaging for queue management. Additionally, I implemented JWT-based authentication along with CASL for role-based access control, ensuring fine-grained user management. • NestJS, Java, Spring Boot, Apache Camel, Angular, MongoDB Atlas, PostgreSQL, InfluxDB, Redis, Git, RabbitMQ, Kafka, IBM MQ, Docker. • Google Cloud Platform: Cloud Build, App Engine, Dataflow, BigQuery, Compute Engine, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Monitoring, Cloud Logging. • Machine learning, Genetic optimization, Apache Spark, Hadoop, Beam, Python, Tensorflow, NVIDIA CUDA, Linux, ROS, C++. EDUCATION M.Eng in Artificial Intelligence Sep 2020 – Apr 2023 Financial Services IT Consultant Nov 2022 – Jun 2024 Blue Reply S.r.l. Florence, Italy • I developed financial sector applications for consumer credit, using Java Spring Boot and Camel orchestrations, and Angular, integrating RabbitMQ and ensuring seamless integration via Axway API Gateway. Using Kafka, I designed scalable systems for real-time transactions and fraud detection, while IBM MQ ensured secure interbank messaging and compliance for eventdriven workflows. I fine-tuned transformer models for default prediction on Italian companies’ 10-k reports, focusing on prompt engineering with generative models, leveraging LangChain, vector stores, and React prompting. Software Engineer Dec 2017 – Feb 2023 R.H. Impianti di Rahmani Hamidreza Sassari, Italy • Designed and implemented a remote monitoring system for pumping stations using Siemens TIA Portal V16, integrating Siemens PLC S7-1200, Simatic HMI TP1200, SINAMICS G120X converter, Sentron PAC3220 energy meter, SENTRON 3VA2 circuit breakers, SITOP DC UPS modules, and Siemens SCALANCE X208. Engineered and deployed an end-to-end video surveillance system with Hikvision cameras, Arteco server, and NEXT Suite v.11, including network switch installation, optimization, and the implementation of PoE for efficient camera power and data transmission. Java Software Engineer Feb 2018 – Aug 2018 ClassX S.r.l 110/110L University of Pisa B.Eng in Computer Engineering Sep 2013 – Jul 2020 99/110L University of Pisa PROJECTS E-Team Squadra Corse Sep 2020 – Apr 2023 University of Pisa As manager of the driverless division, I led the transformation of a combustion vehicle into an autonomous racing platform, winning the Formula SAE Italy 2021 Engineering Design Event. I oversaw the integration of hardware components like NVIDIA Jetson AGX Xavier, Hesai Pandar 40P Lidar, and ZED 2 Stereo camera. I led the development of a robust software stack using ROS, C++, Python, PyTorch, TensorRT, CUDA, PointCloud Library, OpenCV, and CasADi, featuring deep learning-driven perception, Model Predictive Control for trajectory planning, and FAULHABER-based low-level control. The project included developing a simulator using Unreal Engine and the AirSim plugin, crucial for validating the vehicle’s software and control systems in a photorealistic 3D environment. Pisa, Italy • Developed the in-house real-time CG engine for broadcast graphics solutions, focusing on rendering and manipulating 2D/3D graphics elements in Java. Utilized OpenGL and JavaFX for the rendering pipelines and applied shader programming to enhance visual effects. Additionally, worked with matrix transformations, texture mapping, and framebuffer management to ensure smooth real-time rendering and interactive graphics control. CERTIFICATES & AWARDS PAPERS National Excellence Honours Roll • KerubLess - Design of a Driverless Formula SAE Vehicle 5th IEEE International Conference on Industrial Cyber-Physical Systems 9th Expo-Sciences Europe 2012 • Enhancing Credit Default Prediction through an Ensemble of Focal LANGUAGES Loss-Based Neural Networks Credit Scoring and Credit Control XVIII • A machine learning workflow to address credit default prediction 2024 International Conference on Enterprise Information Systems Siemens SIMATIC S7-1200 MICRO1 & MICRO2 Siemens SITRAIN Intel Excellence in Computer Science Intel Corporation Italian Ministry of Education, University and Research MILSET Expo-Sciences Europe • Italian (Mother tongue) • Persian (Mother tongue) • English (C1) • French (A2)