Kausik Das

Software Engineer

Bengaluru, Karnataka, India11 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Automation tools.
  • Proven track record in Full Stack development.
  • Strong experience in data mining and predictive analysis.
Stackforce AI infers this person is a Full Stack Software Engineer with expertise in Machine Learning and Data Science.

Contact

Skills

Core Skills

Machine LearningAutomationFull StackData Mining

Other Skills

Tools DevelopmentMongoDBPythonJenkinsGCPKubernetesDockerZopeMS SQLAngularJSElasticSearchMicrosoft OfficeMicrosoft ExcelResearchSales

About

Hardworking,honest an i have to hunger to learn whatever technologies , i believe in on job training i.e, doing the work and simultaneously learning the technology) in that but i manage and deliver my tasks at the stipulated time.

Experience

11 yrs 7 mos
Total Experience
2 yrs 3 mos
Average Tenure
4 yrs 1 mo
Current Experience

Apple

2 roles

Software Engineer 4 | Cloud Architect | Engineer

Promoted

Nov 2024Present · 1 yr 6 mos · Bengaluru, Karnataka, India

Software Engineer 3

Apr 2022Nov 2024 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Commscope

Senior Quality Assurance Engineer |Tools Development| Full Stack | Automation| Machine Learning

Jul 2020Apr 2022 · 1 yr 9 mos · Bengaluru, Karnataka, India

  • Developed a tool (Heat Seeking Regression) that will poll recursively across BitBucket projects and repositories suggests the users the feature that may have been impacted based on the commit made or commits made during an interval.
  • Develop a tool Automated Execution Server (AES( that will recursively poll the jenkins logs and parse them and save them to GridFs(MongoDb) for detection of the exact point failure and to do Root Cause Analysis.
  • Writing testcases to test different WLAN Scenerios (Open, Guest, PSK, DPSK etc)
  • Developing multiple support libraries that will help users to connect to different Networking Devices to test (Switches, AP, SZ, WindowsClients, MAcClients, Linux Clients)
  • Moving AutoAccelerator into microservices architecture using gcp, kubernetes and docker
Machine LearningAutomationFull StackTools DevelopmentMongoDBPython+4

Asm technologies ltd

Senior Software Engineer | Tools Development| Full Stack | Automation| Machine Learning

Jun 2018Jun 2020 · 2 yrs · Bengaluru, Karnataka, India · On-site

  • Developed an swagger based Open Api parser that will parse and create dynamic python apis from Openapi versions 2.0 and above
  • Developed a tool (Auto Accelerator) that will allow QA engineers to test apis and devices flawlessly without having prior domain or programming knowledge.
  • Developed a tool (Auto Analytics) that will allow the predict the type of failure before regression build starts and help engineers to analyze the the code and save time.
Machine LearningAutomationFull StackTools DevelopmentPython

Zeomega

Software Developer |Full Stack - Python , Zope, MS Sql, AngularJs

Oct 2016Jun 2018 · 1 yr 8 mos · Bengaluru, Karnataka, India

  • Worked on development and implementation of features on their product JIVA.
  • Developed and Implemented XML parser and viewer to edit and update XMLS to dynamically configure the product .
  • Developed and Implemented a automated messaging system that will allow the healthcare professional or product owners using to product to communicate and schedule meetings through outlook apis.
  • Developed and implemented Sentinal Rule Engine (Automated job trigger) whhich will be triggered on status changes and events made by healthcare professionals and nurses.
PythonZopeMS SQLAngularJSFull Stack

Edge networks pvt. ltd.

Software Engineer | Data Crawler ETL - Elastic Search, Python , MongoDb

Sep 2014Oct 2016 · 2 yrs 1 mo · Greater Bengaluru Area

  • Data Mining for building model used for predictive analysis and other data science activities and refining the data using NLP , to to be for Feature Engineering for Machine Learning Models
  • Implemented Autosourcing framework to connect to different Vendor software systems and
  • fetch the candidate information and store it in the datastore
  • Evaluated the data obtained from multiple Vendor sources and transform it into normalized
  • format as per business requirements to enable search and retrieval.
  • Scaled the system in order to increase throughput using Celery tasks for Asynchronous
  • processing and RabbitMQ as message broker.
  • Decoupling the existing codebase for better maintainability and reliability.
  • Built a crawler to crawl across 27 job sites across India and 3 job sites in US to get all relevant information on a particular skill or skill sets
Data MiningElasticSearchPythonMongoDB

Education

National Institute of Technology Agartala

Master of Computer Applications (M.C.A.) — Computers

Jan 2011Jan 2014

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