Aditya Agrawal

Compiler Engineer at MIPS | MS IIT Madras '23 | HPC | KiiT '19 |

3.8

Years of Experience

Education

iit, kiit university, mp birla foundation higher secondary school

Companies

amygdala ai, iit madras online degree programme, nptel, centre for industrial consultancy and sponsored research iit madras, highradius, highradius, highradius, tcs

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Experience

2022 - Present
amygdala ai
Apprentice
2021 - 2021
iit madras online degree programme
Teaching Assistant
TA for the course Business Data Management for students enrolled in the BSc. Degree in Programming and Data Science
2021 - Present
nptel
Subject Matter Expert
Currently working on the NPTEL Gate Project to prepare videos on helping aspiring GATE Students.
2020 - Present
centre for industrial consultancy and sponsored research iit madras
Project Associate
Currently working on extending Low-Level Synchronization on OpenMP.
2019 - 2020
highradius
Associate Software Engineer I, Team Treasury
Developing Predictive Models using Time Series and Heuristic Approaches to forecast the cash received on a future span of 180 days.
2019 - 2019
highradius
Associate Software Engineer I, Team Rivana DataSciences
Was actively a part of the team Rivana DataSciences wherein I provided active solutions to the problems of 1) Payment Date Prediction wherein we deploy machine learning models which utilize the historical data to detect patterns and predict the expected payment date of the invoice. Clients handled include Walmart, Danone, HID, FitBit,etc. 2) Promise to Pay wherein we use classification models to predict whether a promise to pay an invoice is kept or broken. Client handled include Shurtech. 3) Developed a Machine Learning Pipeline which automates the entire Payment Date Prediction solution process to generate machine learning models in an automated manner with minimal human intervention.
2018 - 2019
highradius
Data Sciences Intern
Was actively a part of the team Rivana DataSciences wherein I provided active solutions to the problems of 1) Payment Date Prediction wherein we deploy machine learning models which utilize the historical data to detect patterns and predict the expected payment date of the invoice. 2) Promise to Pay wherein we use classification models to predict whether a promise to pay an invoice is kept or broken. 3) Developed a Machine Learning Pipeline which automates the entire Payment Date Prediction solution process.
2018 - 2018
tcs
Web Development Intern
Me and my team were actively involved in building a web development project for developing a module for a banking application. The module developed included the processes involved to originate a loan for a customer. Was involved in studying the existing solution and the architecture and suggest new methods for further use cases and also fixing any errors arising in the already built solution, per se.

Experience

6 Skills

Compilers

Data Management

Data Science

Data Scientist

optimization

teaching

Education

2020 - 2022
iit
Master of Science - MS
Computer Science
2015 - 2019
kiit university
B.Tech
Computer Science and Engineering
2013 - 2015
mp birla foundation higher secondary school
Secondary Education
Science