Senior Machine Learning Engineer

Led architecture and implementation of machine learning services and data-processing components for a digital advertising analytics platform. Built real-time ingestion pipelines with Python, Apache Kafka, asynchronous consumers, PostgreSQL, Redis, and AWS to process impressions, clicks, conversions, and campaign events with validation, normalization, deduplication, batching, and fault-tolerant handling.

Developed feature engineering workflows and predictive models using Pandas, NumPy, SQL, and Scikit-learn. Built low-latency FastAPI inference services with Pydantic and Redis caching, containerized ML services with Docker and AWS ECS, and improved reliability through Pytest, data validation, structured logging, and OpenTelemetry tracing. Drove technical planning and mentored engineers on distributed systems, asynchronous processing, and ML integration.

Architected and developed data-intensive backend services for an enterprise endpoint management and cybersecurity platform using Python, PostgreSQL, Redis, and REST APIs. Created asynchronous Kafka-based event-processing components for device activity, deployment events, status updates, and security telemetry, with schema validation, timestamp normalization, duplicate detection, and dependable downstream processing.

Developed analytical and classification utilities using Pandas, NumPy, Scikit-learn, and SQL to identify operational patterns and unusual device behavior. Designed scalable background processing with AsyncIO and Redis, optimized PostgreSQL performance through execution-plan analysis and indexing, and implemented automated testing, Docker-based workflows, CI/CD, monitoring, and structured logging.

Developed enterprise automation and data-processing components using Python, C#, .NET, SQL, and REST APIs. Delivered reusable services for workflow orchestration, information extraction, business-data processing, and integration with external applications.

Built data transformation utilities, asynchronous workflow execution components, and analytical reporting capabilities. Designed relational persistence and optimized SQL queries for workflow metadata, audit records, and execution histories, while collaborating with architects, product managers, analysts, and QA teams on testing, production troubleshooting, and reusable integration patterns.

Designed and developed database-driven business applications using PHP, JavaScript, HTML5, CSS3, and MySQL. Built reusable backend modules for customer administration, content management, transactional operations, reporting, and REST-style integrations with external business systems.

Created scheduled data-processing utilities for importing and validating customer and transactional data, including duplicate detection, normalization, and exception reporting. Designed relational schemas, optimized MySQL queries and indexes, maintained production applications, performed regression testing and troubleshooting, and collaborated with designers and business stakeholders.