Senior Engineer Resume Example

Senior AI/ML Engineer · FinTech Innovators Inc.

Seattle, WA · 2022 - Present

• Led the design and implementation of a real-time anomaly detection system for payment fraud, reducing false positives by 35% and preventing over $5M in potential losses annually.
• Architected and deployed a new generation of predictive models for credit risk assessment using deep learning, increasing model accuracy by 15% and improving loan approval rates by 10% for qualified applicants.
• Managed a team of 4 ML engineers, overseeing the entire model lifecycle from research and development to deployment and monitoring, improving team velocity by 20%.
• Optimized existing data pipelines for ML feature engineering, reducing processing time for critical datasets by 40% and cutting cloud compute costs by $10K monthly.

Machine Learning Engineer · Apex Capital Group

New York, NY · 2018 - 2022

• Developed and maintained machine learning models for algorithmic trading strategies, contributing to a 7% increase in portfolio returns for specific asset classes.
• Implemented scalable data ingestion and processing pipelines using Apache Spark and Kafka, handling over 1TB of market data daily with 99.9% uptime.
• Collaborated with quantitative analysts to translate complex financial research into robust, production-ready ML models, accelerating research-to-deployment cycles by 25%.
• Containerized ML applications using Docker and Kubernetes, streamlining deployment processes and reducing infrastructure setup time by 30%.

Data Scientist · QuantSense Analytics

Boston, MA · 2015 - 2018

• Designed and implemented predictive models for customer churn in a fintech startup, leading to a 12% reduction in churn rate by informing targeted retention campaigns.
• Developed custom dashboards and reporting tools using Tableau and Python for key business metrics, improving data accessibility for stakeholders by 50%.
• Performed extensive feature engineering and selection on large datasets (millions of records) to enhance model performance, achieving a 10% uplift in prediction accuracy.
• Automated data cleaning and validation processes, reducing manual effort by 20 hours per week and improving data quality for analytical insights.

Master of Science in Computer Science · Carnegie Mellon University

Pittsburgh, PA · 2013 - 2015

• Specialized in Machine Learning and Distributed Systems.
• GPA: 3.9/4.0
• Thesis: "Scalable Graph Neural Networks for Financial Fraud Detection"

Bachelor of Technology in Computer Science · Indian Institute of Technology Bombay

Mumbai, India · 2009 - 2013

• Graduated with Honors, consistently ranking in the top 5% of the department.
• Coursework included Advanced Algorithms, Database Management Systems, and Artificial Intelligence.
• Project: Developed an intelligent recommendation engine for e-commerce platforms using collaborative filtering.

Senior Software Engineer · Intuit

Austin, TX · 2022 - Present

• Led the architectural design and implementation of a new payment processing service, increasing transaction throughput by 30% and reducing latency by 20%.
• Drove the migration of critical microservices to a cloud-native Kubernetes platform, resulting in a 25% reduction in operational costs and 15% improvement in deployment frequency.
• Mentored a team of 3 junior engineers on best practices for scalable backend development and code quality, improving team velocity by 20% and reducing post-release defects by 10%.
• Implemented enhanced monitoring and alerting systems using Prometheus and Grafana, decreasing incident detection time by 40% and resolution time by an average of 30 minutes.

Software Engineer · Atlassian

Austin, TX · 2019 - 2022

• Developed and maintained core API services for Jira Cloud, handling over 10,000 requests per second and ensuring 99.99% uptime for critical functionalities.
• Implemented significant performance optimizations in Java backend services, reducing average API response times by 150ms (20%) for key customer workflows.
• Collaborated with cross-functional product and design teams to launch 5 new features, contributing to a 10% increase in user engagement for a specific Jira module.
• Authored comprehensive unit and integration tests for new features and refactored existing code, contributing to 95% code coverage and significantly reducing production bugs.

Data Analyst · Accenture

Dallas, TX · 2016 - 2019

• Analyzed large datasets for Fortune 500 clients, identifying key trends and optimizing business processes that led to an average of 15% cost savings.
• Developed automated reporting dashboards using SQL and Tableau, reducing manual data preparation time by 50 hours per month for stakeholder reviews.
• Presented data-driven insights to senior leadership, influencing strategic decisions that resulted in a 10% improvement in operational efficiency for a major retail client.

B.S. in Computer Science · Georgia Institute of Technology

Atlanta, GA · 2012 - 2016

• Graduated Magna Cum Laude with a GPA of 3.8/4.0.
• Coursework included: Data Structures & Algorithms, Operating Systems, Database Systems, Machine Learning, Distributed Computing.
• Developed a thesis project on optimizing large-scale graph processing algorithms, achieving a 15% performance improvement over baseline methods.