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ClassificationSenior Software Engineer and AI Infrastructure Specialist: possesses over two decades of enterprise engineering experience alongside advanced corporate finance qualifications. The candidate's background uniquely bridges low-latency backend systems architecture, high-throughput data processing, and large-scale artificial intelligence data lifecycles. Core Technical Competencies AI Infrastructure & Alignment Engineering:Expert at building production-grade APIs, distributed assessment tools, and asynchronous processing pipelines using Python (FastAPI) and Redis. Highly proficient in constructing LLM evaluation, fine-tuning, and RLHF infrastructure. Proven track record designing data quality frameworks, spanning sentiment analysis, linguistic quality assurance, safety/policy labeling, and complex audio/computer vision annotation workflows. Enterprise Systems & Cloud DevOps:Strong foundation in scalable system design, microservices, and databases (PostgreSQL, MySQL, MongoDB). Fully proficient in deploying fault-tolerant code across AWS and GCP using Docker and automated GitHub Actions CI/CD pipelines. Finance & Operations Leadership:Possesses robust expertise in corporate finance, budgeting, forecasting, compliance auditing, and risk management frameworks. Professional Trajectory & Impact : AI Startup Ecosystem & IBM (2022 – 2025):At Handshake AI, Outlier AI, and Scale AI, engineered distributed training infrastructure, automated dataset validation pipelines, and optimized database performance. At IBM, built and monitored production machine learning and NLP applications within cloud environments. Visa Inc. (2010 – 2025):Spent 15 years engineering highly secure, low-latency transaction processing platforms. Managed cross-functional engineering teams, led core modernization initiatives, and implemented strict systemic risk mitigation frameworks. Sun Microsystems (2001 – 2010):Spent nearly a decade driving middleware development within the Java ecosystem, engineering cross-platform solutions, and developing automated reliability verification systems.
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RLHFDeveloped distributed backend services supporting AI training infrastructure. Optimized large-scale data processing systems and production workflows. Enhanced system scalability and operational efficiency to support data validation & QA pipelines.
Master of Science (M.S.)., Computer Science
Chief Financial Officer (CFO) / Head of Finance and Operations
Machine Learning Engineer.
