Aditya Gangwal

SDE-3 at Slice UPI on PPI team along with the slice account product |

Aditya Gangwal is an experienced Software Development Engineer with a passion for creating innovative tech products that simplify the user experience. With over 2 years of experience in design, development, testing, and deployment, Aditya has contributed to scaling, implementing, and impro

5.2

Years of Experience

Education

iit

Companies

slice, myntra, cropin, the university of western australia, techkriti indian institute of technology kanpur, indian institute of technology kanpur, indian institute of technology kanpur, indian institute of technology kanpur

Reach out to Aditya Gangwal via Email, InMail and SMS drip

by installing Chrome extension

Aditya's contact details

Email (Verified)

gaXXXXXXXXXXXXXXom

Mobile Number

+9XXXXXXXXX31

Experience

2021 - Present
slice
SDE 2
2019 - 2021
myntra
Software Engineer
2018 - 2018
cropin
Intern- Data Science
TASKS:- - Built an automated multi class classification model of crops using extracted features from ndvi-time series data - Constructed an iterative algorithm based on Savitzky-Golay filter to remove noise in satellite data due to clouds - Extracted features from ndvi-time series data and used DBSCAN algorithm to find different ndvi patterns in a crop - Formed a One-class classification model on singly labeled data to identify crop of a specific class amongst all crops
2017 - 2017
the university of western australia
Intern- CUDA Developer
PROJECT:- -Developed a computational tool to calculate likelihood ratio statistic(LRS) value by parallel programming on GPU -Studied in detail the parallel programming using CUDA language to make the computation efficient and fast -Tested different algorithms on provided data, defined optimality criteria and selected the best algorithm INITIATIVES:- -Used Dynamic parallelism to make threads perform different independent kernel operations in parallel -Introduced a GPU detector in tool which detects no. of GPU cards in system and distributes work accordingly IMPACT:- -Successfully reduced the computational time from 6 minutes to 20 seconds with 98.6 % accuracy of the result -GPU detector program in tool reduced the time further to 6 seconds by usage of 3 GPU cards on the main server
2016 - 2017
techkriti indian institute of technology kanpur
Marketing Head
-Led a 4-tier team of 600+ students for the conduction of the festival with the overall budget of over ₹ 30 million -Spearheaded a 2-tier team of 80 marketing executives handling companies follow-ups and their branding -Responsible for procuring a substantial budget for the smooth conduction of the festival and its promotion -Ensured the depiction of all the promised branding possibilities mentioned in the contract throughout the year
2015 - 2016
indian institute of technology kanpur
Marketing Senior Executive Techkriti'16
2015 - 2015
indian institute of technology kanpur
Show Management Senior Executive Antaragni'15
2015 - 2015
indian institute of technology kanpur
Team Coordinator Table Tennis Udghosh'15