Looking for opportunities to work in the latest technological platforms: Artificial Intelligence, Robotics, Blockchain and Data Analytics.
• Worked as a developer in 3 different projects (Fully Autonomous Mapping, Assisted Mapping and Indoor Cleaning Robot) related to mobility robots. • Member of the algorithm development team which developed fully Autonomous Mapping using frontier-based exploration and Generalized Voronoi-Diagram in both C++ and python. • Developed fully working module for user-based mapping using python. • Developed global planner for wall following mode in Indoor cleaning robot using OpenCV library, C++ and Python. • Responsible for Vue JS based user-friendly UI development across all the 3 projects. • Responsible for optimization of peer codes and conversion of python program modules to C++ in order to reduce the CPU usage.
Responsibilities • Worked as a developer in 6 projects (Agile Methodology) for the same client which includes the development of code from scratch and completed multiple Change Requests which required analysis and modification of the existing code • The task was to get the database from the client, need to analyse the data (employees sales data) and based on the data client's requirement report will be generated. • Created Database Objects like tables, views, sequences, synonyms, stored procedures, functions, Packages, Cursors, ref cursor and triggers as per the business requirements using Oracle SQL Developer • Involved in modifying various existing packages, Procedures, functions, triggers according to the new business needs and writing SQL Queries using Joins, Sub Queries and correlated sub Queries to retrieve data from the database • Got hands on peer to peer code reviews and code validation as per client requirement and testing of code functionality using a testing environment Achievement • Star of the Learner's Group (Best performer in Training) • Certificate of recognition for my outstanding contribution to my team
2016-12 - 2018-07
Predicting Comfort Zone around Commuter for Acceptance of Personal Mobility Devices: Pedestrian
Nanyang Technological University (NTU), Singapore
• Conducting experiments currently with the pedestrians of age 21-65, videos are recorded and data are extracted using Kinovea software • Collected data will be processed using MATLAB and the same data will be used as an input file for the prediction models • Prediction is done to find whether the zone is comfortable or not using Machine Learning Algorithms ( Random Forrest, Logistic Regressions and Support Vector Machines) in MATLAB and prediction accuracy will be compared among the 3 algorithms
2018-9 - 2019-5
Analysis of Partial Discharge in EHV and HV transformers
University OF Bologna (Italy), (Exchange Program)
• Tested 8 different artificially defected samples with transformer oil as the medium • Analysed the Reason for the Inception of PD, which leads to the failure of the transformer in the long run • Published an IEEE paper on "Identification of Partial Discharges in Power Transformers: An approach driven by Practical experience" in IEEE Electrical Insulation Magazine (Volume: 33, Issue: 5, September-October 2017)