Vaish Krishnamurthy

• Experience leading large, globally dispersed engineering organizations across multiple time zones • Deploying GenAI-driven features with a strong focus on security, compliance, and responsible innovation • Strong balance of technical depth and strategic vision, driving platform modernization and architecture evolution • Proven ability to improve engineering velocity, quality, and operational excellence at scale • Passionate about developing engineering leaders and building inclusive, accountable team cultures • Skilled at aligning technology strategy with business goals to deliver measurable customer impact.

• Scaled core platform systems by introducing an event-driven architecture, accelerating both product development and operational efficiency • Strengthened engineering culture by prioritizing values, collaboration, and team cohesion • Partnered closely with product and business stakeholders to define a balanced roadmap, effectively managing trade-offs between innovation and technical debt • Led hands-on prototyping and architectural design using search and streaming technologies to evolve a high-scale Enterprise SaaS platform serving millions of users.

• Built and scaled the Pittsburgh engineering team to ~25 members within 6 months, spanning software, machine learning, and data engineering • Contributed hands-on across the development lifecycle, including software engineering, project delivery, and product quality/testing

• Led a cross-functional team of Machine Learning Engineers, Data Scientists, and Backend Engineers to build a generalized AI/ML platform that lowers the barrier to entry for subject matter experts • Partnered closely with Product and Go-To-Market teams to rapidly iterate on prototypes and translate concepts into scalable solutions • Drove rigorous verification and validation processes to ensure high-quality, reliable model and platform outputs • Facilitated technical discussions and decision-making across cross-functional teams, aligning stakeholders on architecture and execution • Recruited and built a high-performing team by combining strong technical leadership and effective delivery.

• Co-founded and developed an innovative smart waste management solution to address landfill waste by automatically sorting recyclables using AI-driven systems • Designed and implemented cloud-based data infrastructure on AWS, including databases and pre-configured deep learning environments (Caffe), to analyze image data for waste classification • Led a multidisciplinary team of mechanical and robotics engineers from Carnegie Mellon University to build and operationalize the solution • Operated across multiple functions—spanning hands-on engineering, product management, fundraising, hiring, and end-to-end product development.

• Defined and executed product roadmaps across a broad IT/software portfolio, including rollout of an enterprise EMR system, cancer testing markers, dual lab support systems, and a custom sales portal (CRM) • Led the development of a secure mobile web portal enabling physicians and staff to order tests and access electronic patient reports; partnered cross-functionally to gather requirements, prioritize features, and incorporate end-user feedback • Consistently delivered complex initiatives under aggressive timelines, including configuring and launching a cloud-based CRM (sales portal) in just 8 weeks • Modernized infrastructure by migrating email and SharePoint systems from on-premise to Microsoft Azure, reducing operational costs and improving scalability • Directed teams through multiple software development lifecycles, leveraging Agile, Scrum, and Waterfall methodologies to optimize delivery speed and quality • Reduced costs and improved vendor value through strategic renegotiation of enterprise contracts (e.g., Microsoft, EMC/HP SAN, Cisco telephony systems) • Maintained hands-on technical involvement, including SQL-based reporting and contributing to software development and release cycles.

• Led a team of database developers in designing and delivering SQL-based reporting solutions • Architected and deployed an internal data warehouse to optimize reporting performance, improving efficiency while reducing load on OLTP systems • Developed and delivered strategic marketing insights by analyzing data across multiple channels • Revamped reporting frameworks to align with PCI and SOX compliance requirements, strengthening data governance and security.

• Led development of web-based data entry systems for collecting and managing clinical trial data • Built dynamic front-end interfaces along with middle-tier services in Perl to validate complex data semantics and ensure data integrity.

Develop methods to ‘‘sample’’ a small realistic graph from a large Internet topology.