Staff ML Engineer | 10+ years experience | ML, AI, Python, GCP, AWS

Senior Tech Lead & Machine Learning Engineer with 9+ Years Experience

Experienced software engineer specializing in ML engineering and cloud technologies. Currently leading teams building AI-driven customer support solutions focusing on intent, sentiment, and language detection. Proven ability to translate strategic objectives into scalable, maintainable implementations across e-commerce, financial trading, and healthcare sectors.

Core Skills & Expertise

• Machine Learning & AI: ML model development, deployment pipelines, MLOps
• Cloud & Infrastructure: GCP (Certified ML Engineer & Data Engineer), AWS, Terraform (Certified), Kubernetes
• Programming: Python, Java, Go, Flask, FastAPI, Spring
• Data Technologies: SQL (PostgreSQL, MySQL), NoSQL (MongoDB), ETL pipelines
• DevOps: Gitlab CI/CD, Github Actions, Azure DevOps, Jenkins, Docker

Professional Highlights

Staff Software Engineer & Tech Lead | 2022 - Present

• Lead machine learning engineering team focused on sentiment, intent, and language detection
• Led implementation of a solution saving over $400K annually while increasing service stability
• Created a safe growth-oriented team environment fostering respect and collaboration
• Leading MLOps initiatives and data migration efforts across the organization
• Technologies: Python, Flask, Terraform, Kubeflow, GCP, Airflow, Kubernetes, AWS

Cloud Services Engineer | 2021 - 2022

• Designed and developed infrastructure-as-code solutions for reusable cloud components
• Implemented container security pipelines
• Technologies: GCP, Terraform, Go, Python, Docker

ML Engineer | 2020 - 2021

• Translated strategy KPIs into technical designs for data science solutions
• Designed reusable, scalable, and cost-efficient data science implementations
• Monitored and improved performance of existing and new data science solutions
• Technologies: GCP, Python, Java, Spring, Elasticsearch, Kubernetes

Software Engineer | 2016 - 2020

• Decomposed monolithic applications into Spring-based RESTful microservices
• Developed features for business-critical high-volume applications
• Designed and implemented features for SaaS platforms and trading applications
• Technologies: Java, Spring, AWS, MongoDB, JavaScript, RESTful APIs