Aditya Singh Email & Phone Number

New York, Ny, Us

Intelligence Generation, Corporate Centre of Excellence of Data Science. Working on recommender systems, online/offline evaluation services, LLM applications

Pittsburgh, Pennsylvania, United States

• Teaching assistant for CMU’s flagship deep learning course 11-785 with Professor Bhiksha Raj• Curated Assignments and Delivered Lectures, Recitations on GANs and CNNs• Guiding over 400 students and mentoring multiple research projects • Covering MLP, CNN, RNN, Attention, Transformers, GNN, and Hopfield Nets, with practical applications using PyTorch

Pittsburgh, Pennsylvania, United States

• Knowledge of actions describing physical properties of sound sources improves Sound Event Classi- fication (SEC). Using Large audio datasets to build action feature extractor(RNN) to improve SEC • Using a transfer learning approach, working under Dr. Bhiksha Raj and Dr. Benjamin Elizalde

Pittsburgh, Pennsylvania, United States

Product Facing Optimization

Pittsburgh, Pennsylvania, United States

Teaching Assistant for 10-301/601: Introduction to Machine Learning for Fall 2022

Atlanta, Georgia, United States

Assisting in the development of NLP pipeline to detect truncation in MRO description data; Using statistical and deep learning techniques to filter out truncated data, serving as an internal Data Quality check for future NLP work and potential service for Supply Chain optimization; Collaborate across Verusen functions to understand how analytics can inform business decisions

Pittsburgh, Pennsylvania, United States

Analysing transaction data in urban and rural communities for integrated deployment of ZUZ, a community-based digital currency implemented using smart contracts• Partnered with co-operative Amul, to design design secure community financing model, reducing friction and liquidity problems in capital distribution• Compiled SEC Form 1-A data, using question-answering recommendation LSTM to help users complete forms

Haryana, India

Trained a CNN model for tasks of object, material and human detection using low frequency radio waves as inputModel achieved an accuracy of 98.0% up-to a range of 8m through occlusions and in dark conditionsWorked with team of four undergraduate students under Dr. Debayan Gupta. Published preliminary results in ASPAI’20 and further work in IEEE Radar Conference 2020

Sonepat

Worked as a teaching Assistant for Introduction to Computer Programming (Fall 2019) taught by Dr. Debayan Gupta. My responsibilities included - Designing assignments that the students would be solving- Conducting discussion sessions to explain further the concepts taught in class- preparing demonstrations for class-Holding Office Hours

Ahmedabad Area, India

Used ARkit, ARCore and ARfoundation using Unity3D to successfully build and deploy an application that allows communication about industry equipment instructions/directions using animations accurately overlaid on objects (via object tracking and feature detection).Worked with animation design team to optimise the shaders mobile phones.

Ahmedabad Area, India

Built image processing libraries to compile and optimize the quantitative rainfall data collected by the INSAT-3D multi-spectral imager, for IMD (Indian Meteorology Department) weather forecasting models.Successfully pushed the 2016 rainfall data for Maharashtra to the IMD servers.

Master'S Degree, Information Systems Management, 4.00/4.00

Highest Distinction

Summer Institute, Cyberinfrastructure-Enabled Machine Learning Summer Institute

Activities and Societies: Learn skills needed to migrate ML applications from smaller, locally run resources, to large-scale HPC systems.

Diploma In Advanced Studies And Research, Computer Science, 3.85/4

Worked on a capstone thesis on virtual reality and multiple research projects on machine learning (NLP) and radio waves.

Bachelor Of Science, Computer Science

High School