Vishesh Srivastava

• •Led a high-profile neuro-symbolic AI project that reduced training data needs by 40% and solved complex material science challenges. Delivered groundbreaking results in Atari benchmarks and contributed to a Nature manuscript, earning recognition from senior executives, including the CTO.
• •Migrated 3M's Corporate Research Analytical Lab's infrastructure to AWS, cutting cloud costs by 60% and establishing scalable frameworks for manufacturing and divisional teams.
• •Developed a Random Forest machine learning model (>95% accuracy) that boosted property uniformity by 20%.
• •Standardized IaC with reusable CloudFormation templates, reducing deployment times by 60%. Transitioned CI/CD pipelines to GitHub Actions, increasing deployment reliability by 50% with automated branching and testing strategies.
• •Streamlined automation and deployment processes by transitioning CI/CD pipelines to GitHub Actions and developing CloudFormation IaC, improving reliability and reducing deployment times by up to 60%. Designed Python libraries and reusable Docker images, cutting dependency loads by 80% and ensuring consistent, efficient workflows across projects.

• •Delivered a $750M revenue-saving solution, leading defect detection via PCA and clustering algorithms to identify adhesive defects, ensuring FTIR-ATR measurement consistency in clients production environments.
• •Created real-time analysis workflows, cutting data processing time by 80% and improving neural network accuracy by 20%.
• •Built scalable libraries for regression, classification, and clustering used by global R&D teams
• •Founded Python Plotly Dash Working Group; launched 12 data science apps in one year, impacting 100+ users across 6 divisions

• •Migrated from Internet Explorer to Chromium Embedded Framework (C#/.NET), eliminating vulnerabilities and boosting system performance by 25%.
• •Automated medical coding/billing, improving coding accuracy by 20% and processing time by 30%.
• •Reduced infrastructure costs by 35% through deploying Kubernetes-based microservices with optimized container scaling and resource allocation.
• •Implemented ClickOnce deployment, cutting deployment costs by 20%.

• •Designed and deployed a cloud-based system for managing 3M's R&D research and reports using Angular, Java, AWS, and Spring Framework. Migrated on-prem storage to AWS, achieving 40% scalability improvement and $2M in cost savings by optimizing services like Jenkins, Lambda, ECS, and RDS.
• •Led a team of software engineers to deliver a cloud-based project one month ahead of schedule and 10% under budget, saving $50K+ in overhead costs while exceeding client expectations.
• •Achieved 3M's Circle of Technical Excellence & Innovation (CTE&I) Award, the company's highest R&D honor for scientists and engineers, for developing 3M's most-used internal cloud platform.
• •Shortened R&D IT software development lifecycles by 20% through managing Agile methodologies.

• •Increased system performance by 90% via designing custom Java-based APIs
• •Built a cross-platform desktop app with JavaFX and MySQL, allowing clients to process and analyze large datasets efficiently.

Previous Experience