As a Senior Staff Software Engineer at Kanastra, I’m responsible for leading architecture decisions, defining business logic, and solving complex problems to ensure the delivery of high-quality software solutions. I’m now also responsible for platform performance, scalability, and partner integrations.Key achievements and responsibilities include:- Ensuring the platform’s performance, scalability, and reliability to handle mission-critical financial operations;- Integrating with external partners and their systems to expand the platform’s capabilities and reach;- Collaborating on architecture decisions and guiding the team in implementing best practices for long-term platform sustainability;

As a software engineer at Kanastra I'm responsible for creating new features for fund management as well as maintaining the platform that keeps control of the assets from more than 20 funds.- Developed a complex platform using PHP with Laravel that calculates assets values based on their fees, quotas and other variables;- Led a team focused on developing a high end platform for fund management;- Created workflows to deal with async jobs to process multiple requests that are queued, using statuses,queue and cache control;- Worked together with clients to integrate with their APIs and help them to integrate with ours;- Actively participated in decision making and discussions directly with stakeholders.

Being a software developer for a consulting company, I had the opportunity to deal with multicultural teams from all around the globe, as well as improve software performance to achieve very low response times.- Worked together with a team from a US based company that provides real-time visibility for complex supply chains;- Used Python lambda functions and serverless on AWS to provide real-time tracking information from cargo;- Improved SQL queries to provide better performance, since the business required fast updated information;- Headed technical knowledge transfer sessions with multiple teams.

As a Machine Learning Engineer at Pix I worked with development of computer vision solutions using Python language with PyTorch framework, creating and using Deep Neural Networks as well as classic Machine Learning algorithms. Adjustment, processing and post processing of images using OpenCV library in addition to analysis and cleaning of datasets.- Worked with a high qualified team in a project that aimed to monitor temperatures of rolls of coal mats using drones equipped with thermal cameras and computer vision software to identify the objects and measure their temperature;- Led a project that aimed to the quality of ox carcasses based on their image, using computer vision to capture the images and Deep Neural Networks to make a classification of the quality based on industry standards;- Acted on developing a software that uses computer vision to measure the volume of cattle food, in order to reduce waste from farms;- Developed a software using computer vision that analyzes soccer games to create reports from each player's performance.

As a software engineer at paySmart I was responsible for development and maintenance of financial services tools using EMV technology and software languages such as C++ and Java, as well as development of process automation scripts with Python and database manipulation with SQL and NoSQL.- Improved the process of reading data and converting it to binary that further would be uploaded to the credit/debit card;- Created efficient ETLs to gather data from multiple sources, using Python scripts to clean and transform the data;- Worked with partner firms to create solutions to translate credit card transactions from one standard to another, aligning with teams from other companies creating new features and working as an intermediate ;- Developed solutions to add transactions data to the POS receipt.

Architecting and developing a mobile application using Angular and NodeJS

Deep Learning & Natural Language Processing research and development, using Python, Keras and Tensorflow.

Computational Biology Laboratory - creating automation scripts and interfaces for molecular docking processes.

Cryosphere Monitoring Laboratory - capturing and storing geospatial data.