Software Engineer
M.Tech CSE(Information security)
NITK, Surathkal
Innovative Software Engineer with expertise in C/C++ programming and Windows programming. Offering 2.5 years of overall experience and proficient in full software development lifecycle.Currently pursuing M.Tech in Computer Science and Engineering(Information Security) from NITK, Surathkal. I am Quick learner and able to master new technologies, working in both team and self-directed environment. True team player with strengths in adaptability and accuracy.I Want to pursue a challenging career and be a part of progressive organization that gives a scope to enhance my knowledge and utilizing my skills towards the growth of the organization
National Insititue of Technology, Surathkal, Karnataka.
CGPA: 8.59
Vishwakarma Institute of Technology, Pune.
CGPA: 7.42
Shri.Dawale Junior College
Percentage: 80%
Kothari Convent
Percentage: 93.64%
Quickheal Technologies ltd. , Pune
Quickheal Technologies ltd. , Pune
Built a serverless geospatial framework on AWS,
the Aurora Serverless PostgreSQL database was installed with
PostGIS extension to enable spatial data storage, analysis, and
dissemination.
Raster Image of the maps was uploaded in Mapbox studio along
with the vector data of land parcels and tilesets was created.
API gateway was used to connect the UI with the Aurora Serverless
Postgres SQL database using AWS Lambda function.
Technologies:Python, QGIS, Mapbox, AWS Lambda, AWS Aurora Serverless database(PostgreSql), AWS API Gateway.
This project focuses on addressing the challenge of integrating ABAC into NoSQL databases in particular focused on MongoDB since it is one of the most popular NoSQL databases.Implemented and enhanced MongoDB’s underlying Role-Based Access Control (RBAC) system with ABAC thus leveraged Fine grain Access control using RBAC. Created system is such as it can be integrated easily into any MongoDB server with no additional query overhead.
Technologies:Python, MongoDb.
Developed a web-app server which would act as a one stop solution to view, analyze, add equities to portfolio.
Multiple clients can login and can work simultaneously.Market research can be done using live data as per NSE.
Technologies: Python, Django framework, SQLite, nsetools(library to pull live data from NSE site.)
Developed a Deep Neural Network, using stacked LSTM, to predict the prices of Stocks
from historical data.Also generated calls based on "Simple moving average" strategy. Created a small server for
visualization using Streamlit.
Technologies: Python, Streamlit, Keras, Google Colab
Built a college website with added functionality for student management.
Technologies:Python, Django Framework, SQLite Db.