Mayank Mathur Email & Phone Number

New York, Ny, Us

Toronto, Ontario, Ca

• Boosted employee productivity by 34% by enabling efficient access to information and intelligent responses to user inquiries using LLM-powered chatbot with document retrieval using Langchain and Pinecone • Produced impactful KPI dashboards using Power BI, aiding 65% improvement in data driven decision-making • Implemented CI/CD pipelines using Jenkins to automate the deployment process, ensuring rapid and reliable delivery of software updates.

Toronto, Ontario, Ca

• Translated business requirements into effective data-driven solutions, leading to 18% optimization in farming strategies • Designed the LGS Grower Subsystem database, laying the foundation for efficient data management • Implemented optimized SQL queries in the Agile Scrum-based development process, resulting in a significant 30% reduction in data retrieval time

Tempe, Az, Us

• Managed IT support services, troubleshooting, and system operations, successfully resolving over 100 user issues.• Designed and created an internal dashboard to improve the efficiency of employees and streamline operations

Tempe, Az, Us

• Trained and optimized explainable AI models for satellite and drone monitoring systems using PyTorch, resulting in 30% decrease in model prediction time • Created object detection models for drones for object tracking and surveillance using Yolov7 • Enhanced model accuracy by 20% by contributing to creating, labeling, and manipulating extensive image datasets using Python. Leveraged web scraping for sourcing and OpenCV for manipulation

Gurgaon, Haryana, In

• Led multiple client projects in NLP and Computer Vision, leveraging PySpark for efficient model training. Applied transfer learning techniques on GPT, YOLO, and BERT using PyTorch to develop tailored solutions • Collaborated cross-functionally to deliver innovative AI/ML solutions, communicating effectively with stakeholders to understand and address client needs efficiently • Improved API response time by 34% by creating ONNX model deployment framework on NodeJS and AWS, streamlining the entire model training process, ensuring scalability, and API generation for production deployment • Reduced deployment overhead by 28% and streamlined development processes by implementing multi-model endpoints on AWS SageMaker using TorchServe, while conducting A/B testing to evaluate deployment effectiveness.

• Drove a significant 36% revenue increase by leading the creation and deployment of website powered by AngularJS and NodeJS • Enhanced user experience and security by integrating advanced components, such as chatbot, fraud detection, and recommendation engine

Gurgaon, Haryana, In

• Created text recognition and face recognition models and deployed them as APIs. The models were used for internal usage to boost staff productivity.

Master'S Degree, Robotics And Autonomous Systems (Systems Engineering)

Bachelor Of Technology - Btech, Computer Science

High School