Shreyash Singh Email & Phone Number

Princeton, Nj, Us

Princeton, New Jersey, Us

- Lead a team of 10+ engineers, focusing on building next-generation AI pipelines that optimize operational efficiency and reduce processing time by 30%.- Collaborate directly with clients and stakeholders to align AI strategies with business needs, enhancing customer satisfaction by 15% and project adoption by 20%.- Oversee the deployment of 5 high-impact AI solutions across multiple industries, including finance, healthcare, and legal services, driving measurable business outcomes.- Spearhead the research and integration of cutting-edge AI technologies such as GenAI and LLMs, positioning the company at the forefront of innovation.- Develop AI roadmaps in collaboration with senior leadership, ensuring alignment with the company’s $2M+ strategic business objectives.- Mentor and guide engineers in best practices for AI and ML development, fostering a culture of continuous learning and improvement.- Ensure all AI systems are scalable, robust, and compliant with industry standards, supporting long-term growth and sustainability.- Lead cross-functional teams in executing large-scale projects, consistently delivering on time and exceeding performance metrics.

Princeton, New Jersey, Us

- Directed machine learning initiatives that improved system scalability by 40%, aligning with the company’s broader business goals.- Developed and deployed AI solutions that reduced processing costs by 25% for high-volume, mission-critical projects.- Managed global teams across 3 continents, improving project delivery efficiency by 20% through streamlined collaboration and optimized workflows.- Led the integration of advanced AI and machine learning technologies into new and existing products, contributing to a 50% increase in automation for key processes.- Worked closely with senior leadership to define the company’s AI strategy and ensure alignment with long-term technological objectives.

Princeton, New Jersey, Us

- Managed and delivered strategic Proof of Concepts (POCs) that aligned with the company’s innovation goals, driving forward advanced AI solutions.- Scaled machine learning pipelines that processed over 10 million documents annually, improving operational efficiency by 35%.- Partnered with clients to design and implement tailored AI and ML solutions, which resulted in a 50% increase in automation for core operations.- Fine-tuned AI models for data extraction and classification tasks, achieving 98% accuracy and setting new industry benchmarks.- Collaborated with cross-functional teams to ensure smooth deployment and integration of AI solutions into customer environments, enhancing the overall user experience.

Princeton, New Jersey, Us

- Designed and implemented machine learning solutions that increased straight-through processing (STP) rates by 40% and reduced error rates by 25%.- Coded and deployed machine learning models in 7+ customer environments, ensuring smooth and efficient system integration with 99% uptime.- Developed machine learning-related software products that expanded the toolsets available to customers, driving a 20% increase in product adoption.- Collaborated with cross-functional teams to ensure seamless transitions from development to production environments.- Provided high-level customer support, troubleshooting issues and ensuring that clients maximized the value of their machine learning investments.

Bethany, Ct, Us

• Research and define the data structure and data flow from multiple MDM agents in a distributed network.• Developed a Self-Diagnosis Health App, which allows users to diagnose themselves based on their lifestyle and symptoms.• The project uses the following technologies: Python, Angular 13, Postgresql

Navi Mumbai, Maharashtra, In

Responsible for developing a micro-service for customer product rating which supports product rationalization and passes the appropriate user feedback to the product team.

Pune, Maharashtra, In

• Responsible for Developing a self-alignment system and smooth turning algorithm for autonomous floor cleaning robots for large scale warehouses and shopping malls.• Responsible for building an Autonomous Robot that used a LiDAR system to navigate and reconstruct and unknown environment. The project won 2nd prize at Impetus & Concepts 2019, in the Open Hardware Category.

Master'S Degree, Artificial Intelligence

Bachelor'S Degree, Electronics And Telecommunication