Kshitij Nirgude Email & Phone Number

Pune, Maharashtra, India

Working in Data Virtualization team with responsibility to design, develop, test, deploy and demonstrate connectors, to perform CRUD operations on data of Enterprise level ERP, ALM systems for ETL process of EQ’s Business Intelligence and Migration product.Neo4j Graph DB Connector: Designed and developed a virtualization layer ( a connector) from scratch, to interface between the company's products and the schema-less Neo4j Graph database. The connector can also execute various graph algorithms on the underlying data.Jira Software Connector: Consumed the REST APIs to facilitate CRUD operations on major business objects in Jira, such as Issues, Projects, Sprints, etc. Came up with an XML-based hybrid metadata generation approach, that eliminated frequent API calls to Jira.SAP Certified Connector: Improved the performance of the existing SAP connector by using the Google CQEngine framework for effective bulk operations.Currently working on the SAP Authorization Objects to ensure the data security while accessing the system through eQ products.Also working on SAP HANA Certification drive to support the connector in Kerberos mode.Mentoring junior engineers in various code reviews in correct implementation of design patterns, data structures and algorithms.Junit testing framework for integration, functional and unit testing.Keeping up code quality as per sonar cube standards.

Pune Area, India

Project 1 : Object Detection------------------------------Work :- Trained a neural network for object detection in SCADA designs.- Used Tensorflow for the implementation.Impact :- The program successfully detects objects like pumps, valves in the given SCADA design.- Also stores their coordinates, which will be helpful for automatically converting one SCADA to another.Accomplishments :- The program eliminates human efforts to detect and note the coordinates of SCADA objects.Key takeaways :- Hands on experience on neural networks using Tensorflow.- Time management in project planningTools used :- Python 3.6- Tensorflow- LabelImg------------------------------Project 2 : GUI Automation------------------------------Work :- Created a GUI automation tool, using Sikuli, which automatically connects to a FTP server, and downloads all the recent files for the day.Accomplishments :- The program saves human efforts to carry out the mundane task of downloading files from FTP servers daily.Tools :- SikuliX

Pune Area, India

Work :- Designed a proactive solution to identify duplicate defects, using Machine Learning and Natural Language Processing techniques.- Successfully implemented the solution using Python.Impact : -The developed solution alerts the tester if he/she tries to report a duplicate defect.Accomplishments :- Minimized the human efforts to find out duplicate defects, thereby increasing the efficiency.Key takeaways from the internship :- Hands-on experience on Machine Learning and Natural Language Processing.- Understood the work ethics.Tools used :- NLTK- scikit-learn- numpy- pandas- Matplotlib- Jupyter Notebooks

Pune Area, India

Work :- Designed a solution to capture screenshots from multiple screens connected to same CPU, and compare them, to highlight the differences.- Successfully implemented the solution using Python and OpenCV.- Used Google's Cloud Vision API to recognize the text in the images.Impact :- The developed solution eliminates human efforts, in pointing out microscopic yet crucial differences between the images.Accomplishment :- Achieved accuracy and efficiency, by automating the tedious manual task.Key takeaways : - Understood the process of requirement analysis and elicitation.- Effective formal communication with the client.Tools used :- OpenCV- Google Cloud Vision API

Bachelor Of Engineering - Be, Computer Engineering, Cgpa : 9.47

Activities and Societies: Member of Organizing team of Tesla-16, The Annual Technical Festival of MIT College of Engineering.

Computer Science, 85.27%

Ssc, 93.27%

Activities and Societies: A Fistful of Grains Programme : Collected 700 kg of grains with the help of schoolmates, and donated it.