Sumedh Kamble

Software Engineer

M.Tech CSE(Information security)

NITK, Surathkal



I'M Sumedh Kamble

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

about me

name : Sumedh Kamble

age : 25

qualification : M.Tech CSIS (ongoing)

College : NITK, Surathkal.

post : Software Engineer

language : English, Hindi, Marathi

2+

years of experience

CGPA

8.74

my education

2021-2023 (ongoing)

M.Tech in Computer Science and Engineering(Information Security)

National Insititue of Technology, Surathkal, Karnataka.

CGPA: 8.59

2015-2019

B.Tech in Information Technology

Vishwakarma Institute of Technology, Pune.

CGPA: 7.42

2013-2015

HSC

Shri.Dawale Junior College

Percentage: 80%

2012-2013

SSC

Kothari Convent

Percentage: 93.64%

Work Experience

2019-2021

Software Engineer II

Quickheal Technologies ltd. , Pune

  • Developed windows service and multithreaded scheduler for Seqrite Endpoint Threat Hunting 1.0.
  • Designed and developed installer using install4j for the same.
  • Analysis, implementation, scaling (25k clients) of various messaging queues for client-server communication.
  • Built client side functionality for the ”Action”(delete/quarantine) in Seqrite ETH, its flow from ETH Server to Client and AV.
  • Developed internal tool to Automate Functional Testing using Python, AutoIT, NLTK and Selenium (for EPS 7.60).
  • Designed/ Developed and owned Windows Service(server) and a multithreaded scheduler (for deletion of unwanted reports/tables from database).
  • Designed and developed multithreaded “Advanced logging module” to collect logs from clients.
Aug 2018 - Dec 2018

Research and Development Intern

Quickheal Technologies ltd. , Pune

  • Designed/Developed a module detecting sensitive data in files using regular expression using C/C++, SQLite database.It optmized the detection considerably.
  • Developed a MFC tool for the same to update regular expression as and when required to speed up the development as per requirements.
  • Analysis for tagging of files for classification using Alternate Data Streams which is used for File fingerprinting and partial scanning.

Projects

Serverless cloud GIS platform for land valuation.

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.

Attribute-based-Access-Control-for-NoSQL-Databases

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.

Stock Portfolio Dashboard

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.)

Stock Price Predictor using Deep Learning.

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

NITK College Website.

Built a college website with added functionality for student management.
Technologies:Python, Django Framework, SQLite Db.

My Skills

C/C++
Python
Win32 APIs
Install4j





Django
Jira/Confluence
Install4j
SQL

contact me

sumedhkamble0@gmail.com

8237118328

India

sumedhkamble

K-Sumedh