Kushagar Rustagi

Topic - Research based Project on Mobile Signal Strength prediction using Deep Neural networks. • Developed algorithm for automatic neural network architecture optimization using architecture search. • Serialization and De-serialization of machine learning models into API. • Implemented MLOPs to share and store complete deep learning model parameters. Also helped in sharing results among other team members. • Developed a data pipeline system to visualize and store the data processing procedures.

Data Engineering and Data Visualisation using Python -Drive the design and build of visualisation and analytics -Used knowledge of data acquisition and organisation to develop actionable ideas for data visualisation. -Implemented Interactive map with layered structure for Geo data visualisation. -Collected, analysed and interpreted patterns within the complex data. Implemented data interpolation techniques to reduce the size of data for interactive visualisation.

Worked as part of the Software Automation team, my main responsibilities include: - Administration of a global scheduling environment comprising 300,000 jobs with 1,500,000 executions daily, spread over 9 datacentres in 3 regions - Control M Tool deployment on Production and Development Servers. - Raising and tracking support cases with the vendor, and working with them to find the root cause of ongoing issues. - Providing 3rd line support to the scheduling teams for workflow development issues.

Projects - - Controller Area Network (CAN BUS) - Embedded Programming - Communication Protocol (I2C, SPI) Implementation using VHDL Spartan 3E Board.

Subjects for Python programming such as Software development for communications systems, Machine Learning. Subjects for Communication Systems such as Advanced Signal Processing, Data Transmission, IP Based network and Protocols, Network Security. Group Projects - Interdisciplinary IOT Project - Data acquisition and Visualisation for position Sensor. Detection of Velocity and Concentration from Mass-Flow Sensor Data. Master Thesis - Mobile Signal Strength Prediction using Deep Learning.

Grade: 8.352 General Subjects - Analog and Digital Circuits , Power Electronics , Microprocessor and Interfacing and Linear and Non Linear Control System Software Development Subjects -Fundamentals of Computer Programming with C Lab, Data Structures and Computational Techniques. Bachelor Thesis - Controller Area Network Design and I2C Communication protocol implementation using VHDL.