Rupesh Bansal

Software Engineer

United Kingdom14 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in developing scalable web applications.
  • Led a team promoting data analysis and machine learning.
  • Experience with real-time data processing systems.
Stackforce AI infers this person is a Backend Developer with expertise in scalable web applications and data processing.

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Skills

Core Skills

Backend DevelopmentWeb Development

Other Skills

AlgorithmsAmazon KinesisAmazon RedshiftAngularJSApache KafkaApache ZooKeeperBusiness StrategyCC++Data AnalysisData StructuresDropwizardEntrepreneurshipEvent ManagementHTML

About

Designing and building webs apps, large scalable distributed system and platforms, and provisioning systems for high availability.

Experience

14 yrs 2 mos
Total Experience
2 yrs 2 mos
Average Tenure
4 yrs 4 mos
Current Experience

Google

Software Engineer

Feb 2022Present · 4 yrs 4 mos · London, England, United Kingdom

Palantir technologies

Software Engineer

Dec 2019Feb 2022 · 2 yrs 2 mos · London, United Kingdom

Finbox

Engineering Team Lead

Jul 2018Dec 2019 · 1 yr 5 mos · Bengaluru Area, India

Qubole

MTS

Mar 2017Jul 2018 · 1 yr 4 mos · Bengaluru Area, India

Tinyowl

Backend Developer Intern

May 2015Jul 2015 · 2 mos · Mumbai Area, India

  • Developed a messaging service for the TinyOwl system on Rails framework adaptable to the incoming traffic, with balanced load and maximized delivery probability
  • Built a wrapper for all the SMS APIs subscribed to, designed for scalability and ease of further development
  • Integrated a dashboard which shows the status of each SMS sent to the user, being updated in real time
  • Experience with Rails, AngularJS, MongoDB and Sidekiq to asynchronously send messages
RailsAngularJSMongoDBSidekiqBackend DevelopmentWeb Development

Inter iit open-soft, 2015

Jaankari

Jan 2015Feb 2015 · 1 mo · Kharagour

  • Jankaari is an offline search Engine for rural India which tries to connect to an intra-hub using offline Wi-Fi.
  • If there is no existing hub in the region nearby – the app starts one for our user and waits for other users to connect
  • Any query searched is broadcasted to all the peers connected to the network and relevant files are fetched accordingly, keeping in mind minimal data transfer to space and time optimization
  • Features a novel recommender system, Intra-hub searching for a file in the mobiles in your vicinity, maximum data access from the users around, and maintaining well indexed updated content on the server

Kharagpur data analytics group

Founding Governor

Aug 2014May 2015 · 9 mos · Kharagpur Area, India

  •  Pioneered formation of K-DAG for promoting culture of Data Analysis & Machine Learning in the institute.
  •  Leading a team of 35 students as a participation coordination head to increase the participation of IIT Kharagpur in various National and International events in the field of Machine Learning.
  •  Revamped MLRG, a previously active Machine Learning Group, under IEEE IIT Kharagpur Chapter.
  •  Organized a guest lecture by Professor Gerard Huet, Paris INRIA, France within one month of the functionality of the group.
  •  Collaborated with Department of Electrical Engineering to form EE-DIY, in-house hobby club for department.

Technology general championship 2014-15, iit kharagpur

2 roles

Captain - Data Analytics, Radha Krishnan Hall of Residence

Aug 2014Feb 2015 · 6 mos · IIT Kharagpur

Captain - Product Design, Radha Krishnan Hall of Residence

Aug 2014Feb 2015 · 6 mos · IIT Kharagpur

National university of singapore

Research Assistant

Apr 2014Jul 2014 · 3 mos · Singapore

  • I was the summer research Intern at National University of Singapore. My work mostly included creating different visualizations for the data being fetched from Mobile Sensors and using Deep Learning techniques to find the threshold values for different mobile applications.

Indian institute of technology, bombay

Intern

Apr 2012Jul 2012 · 3 mos · Mumbai

  •  Analysed the error introduced in the channel during data transmission.
  •  Design and implementation of the algorithm for optimizing the maximum number of codewords over a q-nary data set.
  •  Modelled the optimisation problem as a Hypergraph matching problem solved it using the concepts of Linear Programming and Duality

Indian institute of technology, kharagpur

Bachelor of Technology

Jun 2011May 2016 · 4 yrs 11 mos · Kharagpur Area, India

Education

Indian Institute of Technology, Kharagpur

Bachelor's degree

Jan 2011Jan 2015

Seventh-day Adventist School

Jan 1996Jan 2008

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