Alex Maistrov

Designed and delivered major product services and cross-service integrations, ensuring seamless functionality across multiple platforms. Led the Data Isolation project, implementing a secure, scalable, and reliable solution with zero regressions or downtime.

Initiated and led greenfield projects, making key technical decisions and defining the tech stack. Architected both the application and its infrastructure using Python, FastAPI, React JS, and Azure Cloud with Terraform. Led the migration of complex data pipelines from GCP to Azure Databricks, establishing a scalable and efficient infrastructure and implementing a deployment process using Terraform

Conducted extensive R&D in Generative AI, specializing in LLM applications, fine-tuning strategies, and Retrieval-Augmented Generation (RAG) pipelines. Developed an LLM-based Inventory Tracker, a backend app that extracts online order confirmations from emails worldwide and logs them as inventory records.

Developed a multi-tenant SaaS platform using Big Data to enable data-driven content decisions. Utilized technologies including Python, JavaScript, VueJS, Flask, Django, SQLAlchemy, Elasticsearch, MySQL, Postgres, Redis, Kafka, Airflow, Docker, Drone CI, Travis, AWS, and Dramatiq.

Developed new project features using Python/Flask, uWSGI/Gunicorn, SQLAlchemy, Backbone, Celery, Redis, Memcached, PostgreSQL, GIT stack as well as improving existed codebase. Optimized the deployment pipeline by implementing a multi-environment, highly secure, and reliable provisioning solution for AWS infrastructure using Ansible.

Configured, provisioned and orchestrated VM clusters using configuration management systems as Puppet, Ansible as well as custom Python toolset. Created cloud infrastructure using Terraform and managed AWS infrastructure via web console and CLI.

Improved a Django project development cycle that decreased its’ setup by 20%. Developed a RESTful API for an ERP system with OOP best practices using Django Rest Framework.

Activities and societies: Building Agentic RAG with Llamaindex, Building and Evaluating Advanced RAG, Function-calling and data extraction with LLMs, Multi AI Agent Systems with crewAI, Building Your Own Database Agent!, Supervised Machine Learning: Regression and Classification, Advanced Learning Algorithms

Completed a specialization in Generative AI for Software Development, focusing on advanced topics such as building agentic RAG systems with LlamaIndex, evaluating advanced RAG, and implementing function-calling and data extraction with LLMs. Gained expertise in multi-AI agent systems with CrewAI and developing database agents.

Activities and societies: Azure Databricks & Spark For Data Engineers (PySpark / SQL)

Completed coursework in Azure Databricks & Spark for Data Engineers, focusing on PySpark and SQL. This enhanced skills in data engineering and processing large datasets.

Activities and societies: An introduction to interactive Programming in Python (Parts 1, 2), Principle of Computing (Parts 1, 2), Algorithmic Thinking (Part 1), C++

Undertook an introduction to interactive programming in Python (Parts 1 & 2) and principles of computing (Parts 1 & 2). Also studied algorithmic thinking (Part 1) and C++.

Activities and societies: Computer Science 6.00.1x, Computation Thinking and Data Science 6.00.2x

Completed MITx courses in Computer Science (6.00.1x) and Computational Thinking and Data Science (6.00.2x). These courses provided a strong foundation in computational principles and data analysis.

Activities and societies: Linux LFS101x.2

Completed the Linux LFS101x.2 course, gaining expertise in Linux fundamentals. This enhanced understanding of operating systems and system administration.

Activities and societies: Udacity, Pluralsight, Khanacademy, O’Reilly, Codeacademy, Code School, Udemy, FreeCodeCamp, Lynda, Datastax Academy

Engaged in continuous learning through various online platforms including Udacity, Pluralsight, Khanacademy, O’Reilly, Codeacademy, Code School, Udemy, FreeCodeCamp, Lynda, and Datastax Academy. These platforms provided diverse learning opportunities across multiple technical domains.