Ashish Kothari

Senior Software Engineer

Bengaluru, Karnataka, India9 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in developing data analysis frameworks.
  • Proficient in full-stack development with modern technologies.
  • Experience in machine learning for transportation solutions.
Stackforce AI infers this person is a Fintech and Transportation-focused Fullstack Developer.

Contact

Skills

Core Skills

PythonNodejsReactMachine LearningHtmlCss

Other Skills

Adobe IllustratorAdobe InDesignAdobe PhotoshopCC++CSS3Data StructuresDesktop PublishingGitGithubLaTeXLinuxMongoDBMySQLPHP

Experience

9 yrs 7 mos
Total Experience
5 yrs
Average Tenure
4 yrs 7 mos
Current Experience

Google

2 roles

Senior Software Engineer

Promoted

May 2024Present · 2 yrs

Software Engineer

Oct 2021May 2024 · 2 yrs 7 mos

D. e. shaw india private limited

3 roles

Project Lead

Jul 2020Sep 2021 · 1 yr 2 mos

Senior Member Technical

Promoted

Jan 2018Jul 2020 · 2 yrs 6 mos

  • Designed & developed a rule based data analysis framework to monitor firm's risk data, replacing repetitive and error-prone manual analysis. The framework was written completely in Python.
  • Developed REST APIs to consolidate and serve highly contextualised exposure data to aid deeper investigation of the preliminary analysis provided by the framework.
  • Developed a web-based workflow application for single-point analysis, review and approval of risk reports. Application stack: NodeJS, React, Redux, MongoDB, SQL (data store), Python (backend services)
PythonNodeJSReactReduxMongoDBSQL

Member Technical

Aug 2016Dec 2017 · 1 yr 4 mos

Samsung r&d institute, bangalore

Road Anomaly Detection using Smartphones

Jun 2015Jul 2015 · 1 mo · Bengaluru Area, India

  • Worked on a project aimed at detecting road artefacts using smartphone sensors only
  • Investigated various methods of detection and did an extensive study of prior work done
  • Worked on a semi-supervised learning approach where a large unlabeled dataset was labeled through learning from a small labeled dataset using a technique called Label Propagation
  • Combined extensive statistical analysis of sensor data with machine learning to train a detector that ultimately detected road conditions and tagged them by their GPS location

Mintzone

Summer Intern

Jun 2013Jul 2013 · 1 mo · Gurgaon, India

  • Worked extensively on the company’s website and revamped the design on the
  • front-end using HTML and CSS.
  • Created digital content and visuals using professional software such as Adobe
  • Photoshop, Adobe InDesign, Adobe Illustrator.
  • Did a market study of the payments industry and helped develop the future
  • roadmap of the company.
HTMLCSSAdobe PhotoshopAdobe InDesignAdobe Illustrator

Education

Netaji Subhas Institute of Technology

Bachelor of Engineering (BE) — Computer Engineering

Jan 2012Jan 2016

Apeejay School

AISSCE (Class XII)

Jan 2010Jan 2012

Apeejay School

AISSE (Class X)

Jan 2002Jan 2010

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