Ketan Patil

Software Engineer

Indore, Madhya Pradesh, India9 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Stackforce AI infers this person is a Software Engineer specializing in E-commerce and Machine Learning solutions.

Machine LearningSoftware DevelopmentEngineering

AlgorithmsAutomationBig DataBug TrackingCC#C++Data AnalysisData ExtractionDistributed ComputingDjangoDockerFlaskGraph TheoryHadoop

Maximum throughput

5 roles

Promoted

May 2024 – Present · 1 yr 10 mos

Aug 2023 – May 2024 · 9 mos

Promoted

Jul 2021 – Aug 2023 · 2 yrs 1 mo

Tech Lead for Supply Chain Planning Engineering team, Scaling and Automating Logistics and Manpower forecasting for hundreds of fulfillments centers across India, Optimising supply chain logistics network for fast and cost effective deliveries/returns to provide best end-user experience on Flipkart. Extensively working with distributed compute over big data and scaling ML pipelines.

Jul 2019 – Jun 2021 · 1 yr 11 mos

Working with Decision Science Platform Team.
Developing a Self Serve Platform to help data scientists and data analysts across flipkart to run and experiment their ML scripts with huge datasets(Hadoop) in a distributed compute system for fast execution.
The users can forget about the parallelisation and input dataset generation part and leave it completely on the platform and focus solely on developing ML core logic enabling them to enhance their algorithm rapidly.

Jul 2017 – Jul 2019 · 2 yrs

Working with Inventory Planning Team, Creating platforms to support automated inventory replenishment, automated rebalancing of inventory across the country and automated liquidation of unwanted inventory for the millions of product in Flipkart.

Jul 2016 – Jul 2017 · 1 yr · Bangalore

● Project on extracting data from version control system and classifying commit into various
categories and leveraging it to attribute the bugs introduced in the codebase based on the
code changes done in the commit.(Django Application)
● Project on representing Code-base in the form of a graph which includes all the structural and binding information along with properties related such as cyclomatic complexity, etc. (Flask App)
● Machine Learning Project on the prediction of customer who is likely to leave the service for the telecom industry. A python project using Scikit and Keras library to predict churn by doing feature analysis and implementing a supervised time-series analysis with Decision Tree, Random Forest, LSTM(RNN) and various other models.

May 2015 – Jul 2015 · 2 mos · Hyderabad, India

Worked on Image Processing Projects using OpenCV library to find given logo in an image
and created an Encapsulated Postscript Vector file editing tool using RegEx in C# to edit PDF, AI, PSD file (replace images and text).