Technical Expertise: Architected a high-performance report engine in Wayroll, emphasizing dynamic tabular presentation, multi level data pivots, and extremely customizable report behaviors.ML Deployment: Pioneered machine learning algorithms for efficient data handling, realizing a financial transaction categorization mechanism with 98%+ accuracy, a critical tool for expedited monthly financial closes.Infrastructure Leadership: Established and scaled Wayroll's data pipeline infrastructure, ensuring seamless integration with various billing and subscription management system APIs, and positioning it strategically in a competitive market.Research & Development: hands-on development and experimentation with ML models using PyTorch, focusing on innovative financial forecasting models.Team Vision & Management: Spearheaded Wayroll from inception, setting a vision, guiding the tech roadmap, and navigating through market challenges. Collaborated with key client and internal stakeholders, to deliver an optimal end product.Technologies Used: Typescript, Node.js, Python, Vue.js, React, MySQL, Docker, AWS (SQS, S3, EC2, ECS, ECR), PyTorch.

Data Pipeline: Spearheaded the engineering team in the mammoth task of capturing, processing, and delivering over 12 billion text documents daily (over 100,000/second). This entailed scraping, parsing, and storing each result, followed by API-based customer delivery.Data Quality: Oversaw a rigorous data parsing and cleaning regimen to ensure the integrity and reliability of the vast streams of data. Implemented automated validation checks, anomaly detection, and corrective processes, ensuring the delivery of high-quality data to our customers.Innovation: Rolled out sophisticated data scaling techniques that involved compression and data partitioning, significantly elevating data efficiency and throughput.Optimization: Unified technical operations, transforming a sprawling infrastructure into a singular, high-performing system. Championed a major tech infrastructure revamp, meticulously optimizing the codebase, which culminated in an impressive 75% reduction in both on-prem and cloud infrastructure costs.Engineering Management: Provided mentorship and coaching to the engineering team, driving optimal performance, fostering inter-departmental collaboration, and pushing the envelope in technological innovation.Technologies Used: Javascript, Python, MySQL, Postgres, Puppeteer, Docker Swarm, Redis, Cassandra, Elastic Search, AWS (SQS, S3, EC2, ECS, ECR, Athena, Elastic Cache), Apache Parquet, Bash, Ruby

Strategic Growth: Launched and continually grew the company, achieving a milestone of 40,000 active users, with consistent monthly user growth for over a decade, all while maintaining a healthy profit margin of 35%.Engineering Management: Evaluated and Recruited candidates, mentored, and led a dynamic engineering team, overseeing the full spectrum of product development – from frontend UI/UX to robust backend systems.Architectural Mastery: Steered the technological direction as the principal software architect, ensuring an adaptable and efficient system architecture that seamlessly scaled with the business's expansion.Data Management: Engineered and sustained a resilient tech infrastructure capable of supporting large amounts of user data, thereby underpinning the company's operational scalability.Business Acumen: Played a key role in high-stakes negotiations, culminating in a "dos comas" exit, sealing an 8-figure sale of the company to a noted Bay Area private equity firm.Technologies Used: C#, Javascript, SQL Server, Node.js, MongoDB, Google Cloud.