Zohair Rashid Mian

Detail-oriented, organized, and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success. Have vast in experience in large scale financial systems related to Invoicing and balance tracking.

DRIVING DETECTION MACHINE LEARNING ALGORITHM

• Developed a CNN + LTSM model for driver detection based on an international research papers.,
• Optimized model latency to achieve authentication in sub 100 seconds with an accuracy of 84%.,
• Transformed ML infrastructure to an ONNX for successful integration with AWS S3 buckets., Interfaced Lambda & EC2 instances with Dynamo cluster to automate model training.

Technologies - TensorFlow, AWS, panda 

NAVPAL

• Led a three man team and worked diligently to meet various milestones.
• Implemented Dijkstra's shortest path algorithm, A search, for efficient multiple waypoint travel, Tasked with organizing API raw data into multiple data structures for an optimal user experience.
• Developed a GUI using OpenGL to allow users to search for street intersections and points of interest.

Technologies - C++, Vim, OpenGL

SVN ORM LAYER DEVELOPMENT

• Built ORM framework in Python to help with seamless conversion of in-memory types to and from storage types.
• Expanded functionality to incorporate support of complex data types such as datetime and coordinates.
• Built multi-threading support and exploited L1 cache to reduce processing speeds by tenfold

Technologies -  Python, Django