aditya das

software engineer |

Aditya Das is a highly skilled Software Engineer with a wide range of interests spanning across machine learning, distributed systems, database engineering, operating systems, and computer graphics. He possesses strong programming skills in Java 8, C++11-17, C, Python, and Go, and is profi

3.8

Years of Experience

Education

carnegie mellon university, vit, sanskriti school

Companies

nomura, carnegie mellon university, carnegie mellon university, carnegie mellon university, drdo, aeronautical development agency

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Experience

2021 - Present
nomura
Software Engineer (Analyst)
Risk & Capital Technology: Market Risk Analytics Platform Working on low latency and high availability data persistence and retrieval layer. Supporting implementation of multi-regulation risk platform covering B2.5 & FRTB.
2020 - 2020
carnegie mellon university
Teaching Assistant
Teaching assistant for 24780 Engineering Computation.
2020 - 2020
carnegie mellon university
Graduate Research Assistant
-Automated shape-grammar development for automotive branding using fine-grained image classification techniques. -Exploring visual attention based approaches, region - part based approaches and ensemble of networks learning approaches in CNNs. - Supported by Summer Graduate Research Fellowship Lab: Integrated Design Innovation Group
2019 - 2020
carnegie mellon university
Graduate Research Assistant
Working on developing a perception module based on stereo-cameras and laser-line projectors to automatically localize fenestration fittings in a construction site in a real-time environment. Lab: Computational Engineering and Robotics Lab
2018 - 2018
drdo
Intern
• Designed a conceptual structure for a dual axis self stabilized gimbal assembly for a vehicle mounted laser ordnance disposal system. • Collaborated with scientists to implement design changes to make structures light weight and resistant to vibration instabilities. • Suggested use of fiber reinforce d polymers instead of aluminum structures to mitigate thermal stresses and produce light weight components.
2017 - 2017
aeronautical development agency
Airframe Engineering Intern
Developed an algorithm based on multivariate regression to predict structural failure in fighter aircraft based on data from previous sorties using MATLAB. • Worked on visualization and extraction of key features from large data sets. • Cleaned and prepared large data sets for analysis re ordering timestamps from different sensors, structuring raw data) • Established insightful parallels between stochastic and deterministic approaches in structural health monitoring. • Achieved close to 90% accuracy on the validation data set

Experience

63 Skills

Algorithms

Amazon Web Services (AWS)

analytics

Application Programming Interfaces (API)

architecture

Automotive

AWS EC2

C

C (Programming Language)

C#

C++

Computer Graphics

Computer Vision

Confluence

Convolutional Neural Networks (CNN)

Data Science

Decision Trees

Deep Learning

Deep Neural Networks (DNN)

Design

Distributed Systems

Git

GitHub

Gitlab

Go

Go (Programming Language)

Graphics

High Availability

Java

Java 8

Jenkins

Jira

Linux

linux

Machine Learning

Machine Learning (ML)

Market Risk

Maven

Microservices

Natural Language Processing (NLP)

Neural Networks

Operating Systems

Project Management

Pycharm

Python

Python (Programming Language)

PyTorch

Research

Research Scientist

SciPy

Software Engineer

SQL

Systems Design

teaching

Unix

Web

Web Services

Education

2019 - 2020
carnegie mellon university
Master's
Computational Design & Manufacturing
2015 - 2019
vit
Bachelor's
Mechanical Engineering
2005 - 2015
sanskriti school