# Siddharth Basu > Software @ Bloomberg | Carnegie Mellon Location: New York, New York, United States Profile: https://flows.cv/siddharthbasu ## Work Experience ### Software Engineer @ Bloomberg Jan 2024 – Present | New York, United States Fixed income securities trading platform ### Software Engineer Intern @ Bloomberg Jan 2023 – Jan 2023 | New York, United States ### Graduate Teaching Assistant @ Carnegie Mellon University - School of Computer Science - Language Technologies Institute Jan 2023 – Jan 2023 | Pittsburgh, Pennsylvania, United States Teaching Assistant for Search Engines (11-642) for the Spring 2023 offering. https://boston.lti.cs.cmu.edu/classes/11-642/ ### Graduate Research Assistant @ Carnegie Mellon University Jan 2022 – Jan 2023 | Pittsburgh, Pennsylvania, United States Building Personalized Learning Squared (PLUS) platform at the Learn Lab, Department of Human Computer Interaction, CMU. ### Software Engineer @ UNIQLO Jan 2022 – Jan 2022 | Tokyo, Japan Developed Spring Batch jobs and RESTful API endpoints for Uniqlo E-Commerce inventory platform to integrate Store Stock with Online Inventory for Click&Collect and Ship2Store services Deployed an optimized bulk order allocation microservice on K8s clusters for migrating batch processes to event-driven workflows orchestrated using Kafka ### Machine Learning Engineer @ UNIQLO Jan 2020 – Jan 2022 | Tokyo, Japan Developed Deep Learning based trend forecasting pipelines employing multi-horizon Temporal Fusion Transformers (TFT), NBeats, and BiLSTM which reduced WAPE by 32% over in-use statistical methods - SARIMA, BQML, and Prophet Built and deployed an end-to-end image tagging system to EC2 for extracting micro fashion trends such as collar style, pocket size etc, using YOLOv5 and CNN classifiers that improved mAP score over in-use Single Shot Detector model by 70% at 0.6 IoU ### Software Engineering Intern @ Toshiba Corporation japan Jan 2020 – Jan 2020 | Tokyo, Japan Was one of the only 7 global recruits for the year 2020 and worked on developing an algorithm for an elevator component which uses Computer Vision using OpenCV to control the door motor of an elevator. The job was to make a decision for the the door function on the basis of the changing luminosity of the pixels of images captured by the fish-eye lens’ equal distance projection method of the detection zone in front of the elevator cage. -Received a Pre-Placement offer from the organisation to join the Software Technical Centre of Toshiba in Tokyo HQ, Japan. (Declined) ### Undergraduate Student Researcher @ Indian Institute of Technology, Delhi Jan 2019 – Jan 2020 | New Delhi Area, India Worked under Dr. Aaditeshwar Seth in ACT4D research group to analyze migration patterns of India using social media data - Developed data pipelines and storage schema using Selenium, Twitter API, MongoDB to analyse tweets for uncovering migration patterns of India and transformed tweet data into location vectors to determine migration affinity using the L2 norm ### MITACS Globalink Internship @ University of Calgary Jan 2019 – Jan 2019 | Calgary, Canada Area Worked in the Geomatics Research and Development lab on a geo-spatial route prediction algorithm which relies on human spatial and temporal memory instead of traditional optimisations on distance and time. Training of the algorithm was done using ALS algorithm and distributed processing using PySpark on the trajectory dataset of drivers of the Chinese cities of Beijing, Shenzhen and Guangzhou. ### Summer Engineering Intern @ Nestlé Jan 2018 – Jan 2018 | Gurugram, Haryana, India Worked in the chatbot development team for a consumer-facing vertical of Nestle India. Successfully developed the assigned use-cases along with Firebase integration for record-keeping and deploying on six messaging platforms. Achieved a +7.8% of the desired SLA for the product. ### Data Science Summer Research Intern @ Indian Institute of Management Bangalore Jan 2018 – Jan 2018 | Bangalore - Worked under the tutelage of Prof. Sreelata Jonnalegedda on two of her research endeavours providing technical assistance with Data Science and statistic tools like Pandas, Numpy, NLTK, pyLDA, SPSS and SQL - Performed data and sentiment analysis on brand social media content to understand consumer persuasion knowledge, brand strategy and positioning. Performed machine learning Latent Drichlet Allocation (LDA), sentiment analysis, topic modelling and other Text Analysis techniques to gain insights across four industry domains - Uncovered statistical insights from United States Healthcare Data using mediation and moderation analysis of pre and post treatment parameters to understand perception towards the healthcare industry. Designed a quantitative metric on understanding patient behaviour and contrast in identified patient physician relationship parameters on exposing to different disclosures of treatment. ## Education ### Master's degree in Computational Science Carnegie Mellon University ### Bachelor of Technology in Computer Science Delhi College of Engineering ### Delhi Public School, Mathura Road ## Contact & Social - LinkedIn: https://linkedin.com/in/siddharthbasu98 --- Source: https://flows.cv/siddharthbasu JSON Resume: https://flows.cv/siddharthbasu/resume.json Last updated: 2026-04-05