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Schedule Interview NowMy name is Mark P. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Sass, Laravel, JavaScript, Yii, Grunt, etc.. I hold a degree in Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: Food & Bev ML & ETL – AWS Glue, Step Functions, k8s, ChatGPT, Spark, Logistics ETL – Python, AWS Athena, AWS SageMaker, ML Platform – Java, Golang, NodeJS, RabbitMQ, Redis, CI/CD, GKE, Marketing Analytics – AWS Lambda, Step Functions, CloudFormation, Web App with CLI – Auth0, Java, ReactJS, Kubernetes, CI/CD. I am based in Yerevan, Armenia. I've successfully completed 5 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
10 years
5 Years
4 Years
9 Years
Potentially possible
PicsArt
Analytical platform for revenue forecasting and targeted sales in the food industry (Generative AI, Federated Learning). Technologies: TensorFlow, Python Scikit-Learn, AWS Glue, AWS Lambda, ChatGPT API Integration, Falcon 40B, CI/CD, AWS CloudFormation, Kubernetes, Amazon SageMaker, Amazon CloudWatch, Apache Spark
Logistics application for calculating rates across extended U.S. ZIP code zones.
Investment-oriented platform connecting business leaders, Data Scientists, and investors to develop and scale ML solutions with funding and royalty support. Multi-layered authorization (RBAC, ABAC, ACL), isolated cloud development environments using Jupyter Notebook and Kubernetes, tools for deploying batch and real-time services, and ML pipeline monitoring. Stack: Java, Golang, Python, NodeJS, ReactJS, Jupyter Notebook, Sentry, RabbitMQ, Redis, Cassandra, Janus Graph, MinIO, Rancher, GitLab CI/CD, Google (Kubernetes Engine, Cloud Storage, BigQuery).
Platform for analytics and forecasting in marketing and finance for multiple Bridgestone Americas entities. Integrations: Adobe Campaign Standard, Adobe Analytics, Google Ads, Google My Business, Alteryx, Marchex. Additionally: Built an independent monitoring subsystem with alerts and year-over-year (YoY) and week-over-week (WoW) metrics.
BI and web platform with centralized authentication, reducing delivery timelines and increasing solution reusability.
Master of Computer Science (MSCS) in Computer science
2007-01-01-2012-01-01