GTS Technology Solutions

• Lead the Fraud & Risk Machine Learning organization, managing a team responsible for production fraud detection models. • Define and execute the machine learning roadmap for fraud prevention, identity verification, and risk decisioning. • Build and scale a portfolio of production ML models from concept through deployment and continuous optimization. • Partner with Product, Engineering, Risk, and Executive Leadership to solve complex business challenges using machine learning. • Drive end-to-end machine learning development including: Feature engineering, Data preparation, Model development, Validation, Production deployment, Monitoring and model performance optimization. • Establish best practices for model governance, experimentation, and production reliability. • Mentor and grow a high-performing team of Data Scientists and Machine Learning Engineers. • Provide technical leadership while remaining capable of contributing hands-on when necessary. • Present technical strategy, business impact, and model performance to executive stakeholders.

• Design, build, and deploy scalable full-stack applications from concept through production • Architect and optimize high-throughput distributed systems running on AWS • Develop backend services using TypeScript, Node.js, Express, GraphQL, and PostgreSQL • Build modern frontend applications with React • Design scalable relational database schemas and optimize query performance • Deploy and manage cloud infrastructure using Terraform and Docker • Improve system reliability, observability, and operational excellence with an SRE mindset • Partner with cross-functional teams to deliver secure, high-quality software • Participate in AI-powered product development, including experimentation, evaluation, and data-driven product improvements.

• Own the end-to-end product analytics strategy for a large-scale consumer mobile application. • Partner closely with Product, Engineering, Marketing, and Executive Leadership to drive key business decisions. • Analyze user behavior across the customer lifecycle, including onboarding, activation, engagement, retention, and monetization. • Develop dashboards, reporting frameworks, and actionable insights that influence product roadmap and business strategy. • Lead experimentation efforts, A/B testing, cohort analysis, and conversion funnel optimization. • Define and monitor key subscription metrics including trial conversion, trial-to-paid conversion, renewal rates, LTV, retention, and user segmentation. • Work with mobile user acquisition teams to evaluate attribution performance across AppsFlyer, Adjust, SKAdNetwork (SKAN), and other measurement platforms. • Leverage AI/LLM tools to improve analytics workflows and business insights. • Lead and mentor a small team while remaining hands-on with SQL and data analysis.

• Assist the recruitment team in managing the full-cycle recruitment process, from sourcing candidates to onboarding new hires. • Post job openings on job boards, career websites, and social media platforms. • Assist in reviewing resumes, screening applications, and conducting preliminary phone interviews. • Help coordinate and schedule interviews between candidates and hiring managers. • Maintain and update candidate records in the applicant tracking system (ATS). • Help create and maintain recruitment materials, including job descriptions and interview guides. • Support the team with background checks, reference checks, and other pre-employment activities. • Assist in organizing and attending job fairs, campus recruiting events, and other sourcing activities. • Provide administrative support to the HR team as needed.

• Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend) • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams • Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable) • Design and optimize data models, warehouses, and data processing workflows • Translate healthcare operational and reporting requirements into scalable data solutions • Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments) • Monitor, debug, optimize, and maintain production data systems and applications • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers

• Assist the recruitment team in managing the full-cycle recruitment process, from sourcing candidates to onboarding new hires. • Post job openings on job boards, career websites, and social media platforms. • Assist in reviewing resumes, screening applications, and conducting preliminary phone interviews. • Help coordinate and schedule interviews between candidates and hiring managers. • Maintain and update candidate records in the applicant tracking system (ATS). • Help create and maintain recruitment materials, including job descriptions and interview guides. • Support the team with background checks, reference checks, and other pre-employment activities. • Assist in organizing and attending job fairs, campus recruiting events, and other sourcing activities. • Provide administrative support to the HR team as needed.

• Design and develop scalable applications using Java & Python • Build and maintain integration frameworks and RESTful services • Work with AWS, CI/CD pipelines, and cloud-based tools • Collaborate in an Agile (SAFe/Scrum) environment • Ensure high-quality code, performance, and security standards

• Assist the recruitment team in managing the full-cycle recruitment process, from sourcing candidates to onboarding new hires. • Post job openings on job boards, career websites, and social media platforms. • Assist in reviewing resumes, screening applications, and conducting preliminary phone interviews. • Help coordinate and schedule interviews between candidates and hiring managers. • Maintain and update candidate records in the applicant tracking system (ATS). • Help create and maintain recruitment materials, including job descriptions and interview guides. • Support the team with background checks, reference checks, and other pre-employment activities. • Assist in organizing and attending job fairs, campus recruiting events, and other sourcing activities. • Provide administrative support to the HR team as needed.

• Drive and exceed assigned sales objectives and revenue quotas • Develop and expand relationships with key decision-makers at AI, cloud, hyperscaler, and enterprise customers • Proactively identify, qualify, and pursue new business opportunities through targeted prospecting and account development • Maintain accurate tracking of sales opportunities, technical challenges, and design-win milestones • Collaborate closely with pre-sales, engineering, and operations teams to develop customized solutions aligned with customer requirements • Work with marketing and product teams to define and execute go-to-market strategies that drive market penetration and revenue growth • Conduct ongoing market and competitive analysis to identify trends, opportunities, and emerging customer needs • Prepare and deliver compelling sales presentations, proposals, and executive-level communications • Provide regular reporting on pipeline health, sales performance, and market insights