Andrew V.

Work experience

• Software Engineer2024-20262 y.

  Led development of a real-time data analytics platform for monitoring infrastructure logs, metrics, and system events.

  Responsibilities:

  • Cultivated strong stakeholder relationships by delivering scalable, production-ready code under tight deadlines, earning a contract extension and expanded project scope.
  • Optimized development workflows by introducing standardized class patterns, cutting feature implementation time by 20% and testing effort by 60%.
  • Engineered a scalable, reusable JIRA API interface, enabling consistent integration across the project and reducing technical debt by centralizing error handling, authentication, and logging logic for all dependent services.

  Technologies: Python, MongoDB, Datadog, Okta, GitLab CI/CD

• Software Engineer2022-20242 y.

  Re-design distributed service responsible for managing global IP address pools and allocation systems.

  Responsibilities:

  • Reduced critical application vulnerabilities by >99% (from 650 to 2) through a comprehensive security audit and dependency refactoring, ensuring compliance and enhancing production stability.
  • Improved application performance by 30% for read-heavy operations by re-architecting data retrieval strategies through materialized views, significantly enhancing the end-user experience.
  • Managed a small engineering team while maintaining hands-on development.

  Technologies: Python, Django, AWS, Kubernetes, Helm, Datadog

• Software Engineer2022

  Led development of an AI-powered chatbot platform that generates API integration code and answers developer queries.

  Responsibilities:

  • Engineered a scalable agentic AI workflow using AWS Bedrock and RAG; successfully transitioned the system from a prototype to a high-value agent, directly influencing client decision-making and project continuity.
  • Led iterative AI development, diagnosing initial product-market fit challenges and re-engineering the system to provide actionable, data-driven agentic capabilities.

  Technologies: Python, AWS (EKS, EC2, Bedrock), OpenAI, Pinecone, Streamlit

• Software Engineer2020-20222 y.

  Developed backend services for a logistics platform connecting carriers and customers for shipping, tracking, and delivery operations.

  Responsibilities:

  • Architected and built a unified microservices layer for multi-carrier logistics, implemented a standardized abstraction layer that reduced time-to-market for new carrier integrations by 75%.
  • Developed an automated anomaly detection pipeline for high-volume logistics, flagging transit bottlenecks and potential parcel losses before they escalate into support tickets.
  • Optimized query performance by 250% by architecting a denormalized database schema, strategically reducing complex multi-table joins in read-heavy workflows.

  Technologies: FastAPI, Django, PostgreSQL, RabbitMQ, SQLAlchemy

• Software Engineer2018-20202 y.

  Led development of a distributed system responsible for processing financial transaction data and calculating tax returns.

  Responsibilities:

  • Led a cross-functional team through a major technology stack adoption; implemented structured mentorship, internal workshops, and code-review guidelines that bridged the skill gap and accelerated team velocity.
  • Designed microservices responsible for financial data ingestion and tax calculations.
  • Implemented dynamic execution of Python strategies for data analysis within Apache Spark.
  • Mentored developers and managed system architecture and deployment processes.

  Technologies: Python, Apache Spark, Kafka, Postgres, Celery, Sanic

• Software Engineer2014-20184 y.

  Worked on multiple backend platforms including:

  Responsibilities:

  • Job marketplace mobile platform with geolocation services
  • IoT tracking system with tag-based asset tracking
  • Microfinance lending platform with credit risk calculations
  • Wi-Fi hotspot analytics system with social media integrations

  Technologies: Django, PostgreSQL, RabbitMQ, Celery, REST APIs, and Linux infrastructure.