Arash Khosravi

About Arash Khosravi

With over 10 years of experience in engineering and software development, I am a versatile and passionate Full stack Software Engineer who thrives on solving complex problems and delivering high-quality solutions. I have a strong background in Python, backend development, data pipelines, and automation, as well as a keen interest in Data Science, Machine learning, robotics, and automation engineering. I am currently working as a Software Engineer (Back-End Python Engineer), a leading data and AI technology company.I am responsible for designing, developing, testing, and deploying scalable and robust backend services, APIs and infrastructures using Python, Django, FastAPI, SQL, SQLAlchemy, JavaScript, Snowflake, OpenSearch, Docker, AWS, and Terraform. I also mentor junior developers, conduct code reviews, and write technical documentation. I enjoy working with a diverse and collaborative team of engineers, data scientists, and product managers. I always strive to learn new skills and technologies and share my knowledge and experience with others. Some of the projects I am most proud of include refactoring from Django to FastAPI,building a data and search pipeline for Elasticsearch/Amazon OpenSearch, optimizing the performance and reliability of RESTful APIs, and implementing unit testing and TDD best practices.

Experience

1. Software Engineer (Ai & Integration)

   d1g1t

   Nov 2024 — Present · CA

   Designed and implemented data lineage, transformation mappers, and rule engines for complex financial documents (transactions, positions, market prices), improving traceability and downstream errors by 11%.* Built resilient CI/CD pipelines using Docker Compose, Jenkins, automated pytest, pre-commit hooks, and rollback strategies, cutting deployment time by 60% and minimizing release bugs by 35%.* Developed a Prod-grade Slack AI Assistant based on Generative AI, using Retrieval-Augmented Generation (RAG), FAISS vector indexing, and Ollama LLM, enabling semantic access to over 1.7M Slack messages.* Engineered high-performance data transformations using Polars and Pandas with lazy evaluation and chunked processing, boosting ETL throughput by 5x and reducing memory consumption by 50%.* Created an Agent as follow-up assistant (Slack) using FastAPI, MongoDB, and PostgreSQL, enabling real-time message tracking and user-specific prompt generation.* Developed a log analysis system using ChatGPT APIs and Claude to compare development and production logs, improving anomaly detection and root cause analysis efficiency by 70%.* Built an end-to-end backend pipeline to fetch and preprocess Jira tickets, feeding the data into LLM models (ML Ops) for ticket understanding, classification, and implementation guidance.* Designed scalable FastAPI-based microservices for semantic search, metadata management, and channel analytics.* Implemented a fully AI-driven DAG on Apache Airflow to automate data validation and comparison between environments, reducing manual QA effort by 80%.* Automated complex financial data workflows with intelligent scheduling, dependency management, and conditional execution logic.* Optimized ETL performance with smart memory usage, chunked execution, and parallel processing, improving daily job completion by 45%.* Established robust testing frameworks for the AI messaging system using Pytest achieving over 90% test coverage.

Education

• Allameh Helli school

  High School Diploma, Mathematics

• National Aerospace University -'Kharkiv Aviation Institute'​

  Bachelor of Engineering - BE, Mechanical Engineering

• Lighthouse Labs

  Diploma of Education, Data Science

• BrainStation

  Associate's degree, Data Science

• National Aerospace University -'Kharkiv Aviation Institute'​

  Master of Engineering - MEng, Mechatronics, Robotics, and Automation Engineering

• National Aerospace University -'Kharkiv Aviation Institute'​

  Associate's degree, Engineering