Bucharest Metropolitan Area
I am a passionate software developer with over 7 years of experience. Interested in Machine Learning/Artificial Intelligence and Embedded Systems, experienced in Python, C/C++ and Rust programming languages. Throughout the years, I’ve worked with several technologies, developing a variety of personal and work‑related projects. I intend to expand my knowledge in all areas of software development and machine learning, in both industry and academia.
In this role, I serve as a Subject Matter Expert for Cortex XSOAR, where I specialize in cybersecurity and automation to improve incident response and security operations. My responsibilities encompass a wide range of critical functions, including in-depth knowledge dissemination about the platform, proactive support to address complex issues, continuous development and enhancement of its capabilities, and diligent maintenance to ensure optimal performance and security posture. Leveraging my expertise, I play a pivotal role in fostering a secure and efficient operational environment within the organization. Main responsibilities: - Planning and development of CI/CD pipelines for content development, validation and deployment - Planning and development of CI/CD pipelines for dedicated docker images building and deployment - Assist on running and maintaining XSOAR infrastructure - Defining and planning use cases - Design, build and optimize custom playbooks and workflows in Cortex XSOAR to automate incident response processes. - Develop Python-based integrations to connect third-party tools and APIs with Cortex XSOAR. - Assisting and guiding colleagues in adopting best practices - Document all custom content, including scripts, workflows, and integrations. - Provide training and support to SOC teams on the use of developed content and automation. Qualifications: - Proficiency in Python coding, with a focus on API integration and scripting. - Hands-on experience developing content for Cortex XSOAR - Strong understanding of security operations, incident response workflows, and automation use cases. - Excellent understanding of GitLab, CI/CD workflows, and Docker.
As one of the three cofounders of the company, I played a key role in the design and development of a highly specialized embedded system for military applications, based on the Digi ConnectCore 6UL board. This project involved integrating multiple sensors and communication modules to provide real-time detection and transmission of critical environmental data. My responsibilities spanned from low-level software development to integrating high-level communication protocols, ensuring seamless interaction between hardware components and external applications. In addition to my technical contributions, I helped shape the company's vision and strategy, collaborating with the team to drive product development from concept to deployment in demanding, mission-critical environments. Key Achievements: - Developed software in Rust for interfacing with a dosimetric gamma radiation detector and a chemical detector, facilitating the real-time detection of gamma radiation and Chemical Warfare Agents (CWAs) using USB serial communication. - Integrated multiple modules, including GPS (SAM-M8Q) via UART and LoRa (Hope RFM95) for long-range communication over SPI, ensuring reliable data transmission across various environmental conditions. - Developed Bluetooth communication protocols for transmitting and receiving data to/from an external Android application, enabling remote monitoring and control of the system. - Utilized Yocto Project to build a custom Linux distribution for the board, optimizing performance for embedded system requirements. - Contributed to the overall product strategy and development roadmap, working closely with the founding team to secure early partnerships and ensure the system met the specific needs of military and defense clients. Technologies & Tools:C; Rust; Java; Yocto; Linux; BLE; LoRa; Embedded Systems; Android Development
Main Responsibilities: • integrating Cortex XSOAR into the analyst workflow, in order to have a centralized and controlled tool for case management and automation; • developing multiple integrations with the various tools that an analyst uses in the workflow, as well as scripts, layouts, runbooks for automating the tasks (analyzing hashes, finding malicious URLs etc.); • developing a pipeline for version control and automatic deployment; Main Tools/Programming Languages: Python; Cortex XSOAR; Azure (Pipelines; DevOps) ; Graph API ; Sentinel ; Splunk ; ServiceNow; CI/CD; PowerShell;
As the first engineering hire at this early-stage startup, I played a pivotal role in the design, development, and implementation of the EMMA (Evolved Management and Monitoring Application) platform, a comprehensive system for discovering and managing network equipment. My work was instrumental in building the platform from the ground up, with a focus on core submodules such as equipment discovery, resource management, and vulnerability tracking. A key highlight of my tenure was developing and deploying a machine learning model to detect network traffic anomalies, ensuring proactive network management and minimizing downtime. Additionally, I was involved in implementing statistics, metrics, and alert systems that enhanced the platform’s efficiency and reliability. In addition to my technical contributions, I took on responsibilities in shaping the company's engineering culture, processes, and scaling the platform to meet growing demands. Key Achievements: - Solely developed and implemented a machine learning model for real-time anomaly detection in network traffic, significantly improving the system’s ability to preemptively alert administrators to potential threats or issues. - Worked with MLOps principles to streamline model deployment, monitoring, and maintenance, ensuring the model’s continuous improvement and scalability. - Collaborated on the development of submodules for equipment discovery, network mapping, and vulnerability tracking, improving the platform's overall functionality. - Utilized databases such as MySQL, InfluxDB, and MongoDB to store and process equipment and network data, ensuring scalability and reliability for the platform's analytics. - Leveraged TensorFlow to design, train, and validate models for anomaly detection, fine-tuning hyperparameters to optimize performance. Main Tools / Programming Languages: Python; SQL; InfluxDB; MongoDB; Tensorflow;
Main Responsibilities: • Test all aspects of gameplay for potential bugs and crashes • Approach gameplay from various gamer profiles and perspectives to help fine-tune balance and usability • Note issues with game balance, translation errors, and documentation • Note issues across various hardware platforms and devices • Make design notes and recommendations to improve gameplay flow and enjoyment