Namey McNameface name@email.com ⎹ github.com/name | linkedin.com/in/name EDUCATION University of Russell Group, School of Computer Science Sept, 2023 - Sept, 2024 Master of Science, Data Science (Incoming) Engineering College, Department of Data Science and Engineering Aug 2017 - June, 2021 Bachelors in Engineering, Information Technology ▪ CGPA 9/10.0 (GPA 3.7/4) WORK EXPERIENCE Software Development Engineer Aug. 2021 – Present Unicorn Company, Food-Tech unicorn with cloud kitchens across country1, country2, country3 and country4. ▪ Optimized driver assignment algorithm, achieving the highest assignment rate at 92% from an earlier 74%. ▪ Integrated third party delivery services (Uber and Lyft), resulting in reduction of delivery load on driver fleet by 20% and on time delivery rate being past 75%. ▪ Developed and Integrated (Govt. Railways) order placing. Train passengers can place orders on the Unicorn Company system by using the ticket reference number and get the order delivered to the compartment at the nearest upcoming station. ▪ Implemented delivery and fuel incentive calculation algorithm based on various parameters like delivery time, distance and gps adherence. ▪ Developed ancillary APIs for delivery rider location tracking on the customer app. ▪ Developed and Integrated Deliveroo hybrid order assignment to own driver fleet. ▪ Integrated 3PL driver assignment for Deliveroo orders with live location tracking on the Deliveroo client. ▪ Developed a React Platform for configuring various system parameters which were previously hardcoded. ▪ Actively monitored system health through Kibana and Datadog monitoring services. Developer Intern May 2021 – June. 2021 French MNC ▪ Developing restful APIs in Django for an internal manufacturing site monitoring website. ▪ Migrating existing production APIs to the Django ecosystem from .NET. AI/ML Intern Oct. 2020 – June. 2021 AI Startup ▪ Developing server-less web app dashboard for the various existing Edge AI devices with Firebase. ▪ Working on an android face-recognition application with integrations of Edge AI. ▪ Implemented models to match face vectors extracted from thousands of Images with existing AI models. Application Developer Intern May 2020 – Oct. 2020 Indian MNC ▪ Developed an E-Kanban application for a manufacturing plant to handle material shortage scenarios. ▪ Researching and implementing UX flows in accordance to the active feedback from the plant workers. VOLUNTEERING Project Manager Dec. 2020 - Jan. 2021 NGO Research Foundation Managed and mentored a team of developers to create a web platform for the NGO. Implemented Agile SCRUM techniques to streamline workflows and maintained timely notification on the progress to the project stake-holders. SKILLS ▪ Programming: JavaScript, TypeScript, Python, Java, Ruby ▪ Back-End: NodeJs, Flask, FastAPI, Sinatra ▪ Database: MySQL, MongoDB, Redis, MSSQL ▪ Additional: Kafka, Micro-Services, Kibana, Datadog PROJECT Market Prediction Using Deep learning Using sentiment polarity, calculated from news articles collected from news websites to predict movement of a stock ticker. Ruby Library Open source ruby library which provides implementation of bi-directional hash data structure. RECOGNITION 2nd Rank in Department - Engineering College. Received the recognition from Engineering College in second year. Recognition - Unicorn Company Received the organization wide award with nomination by Engineering Manager. REFERENCES Mr. Boss CEO and Founder, AI Startup Email:boss@aistartup.com Dr. Prof HOD, Data Science and Artificial Intelligence Department, Engineering College Email: drprof@engineeringcollege.com