Shivang Dubey

Associate at ZS | AI Researcher & Developer

I am an Associate at ZS, passionate about leveraging AI for real-world applications. My background is in Electronics and Communication Engineering, and I specialize in computer vision, medical imaging, and anomaly detection.

Previously, I've conducted research on traffic signal detection at IIIT Delhi and network intrusion detection at Polytechnique Montréal.

Shivang Dubey

Experience

Sep 2023 – Present
Associate at ZS Associates
  • Played a key role in an Operations and Enhancement project for a global biomedical company, optimizing data systems and processes.
  • Designed and enhanced ETL pipelines, performed SQL-based data analysis using PostgreSQL, and managed data ingestion through Amazon S3.
  • Automated backups and workflows using Python, boto, and Apache Airflow, and developed VBA-driven Excel automation to streamline reporting and analysis.
  • Led backend development for a technology migration project using Python and Flask, integrating with an AngularJS frontend to deliver a scalable web portal.
Jul 2023 – Aug 2023
Research Assistant at IIIT Delhi
  • Worked with Dr. Saket Anand on vision-based perception for autonomous driving and road safety, focusing on traffic signal and road pattern detection using computer vision.
  • Assisted in experimenting with and evaluating models using YOLOv5, PyTorch, and TensorFlow.
  • Supported data preparation, analysis, and performance assessment to study model behavior across different traffic and environmental conditions.
May 2022 – Jul 2022
Summer Research Intern at Polytechnique Montréal
  • Collaborated with a PhD student on a network intrusion detection system using deep reinforcement learning.
  • Worked on a Deep Q-Learning approach and compared its performance with traditional and deep learning models, including Support Vector Machines, Random Forests, and CNNs using TensorFlow.
  • Conducted comparative analysis to evaluate model effectiveness and summarize key insights.
Jun 2021 – Aug 2021
Research Intern at IIT Delhi
  • Conducted market research to analyze factors driving product success and failure.
  • Developed a product case study using qualitative and quantitative analysis.
  • Applied Segmentation, Targeting, and Positioning (STP) along with the marketing mix framework to inform sales growth and strategic decisions.
2021 – 2023
Content Strategist at Coding Ninjas
  • Led content strategy for the AI domain, overseeing a large portfolio of articles across ML, NLP, and Computer Vision.
  • Coordinated with writers and technical reviewers to ensure accuracy, relevance, and consistency with industry standards.
  • Defined content roadmaps, refined technical narratives for diverse audiences, and maintained high editorial quality while aligning publications with emerging trends.

Selected Projects

CV / Thesis
Social Distancing Violation Detection
  • The project uses YOLO and OpenCV to detect social distancing violations in CCTV footage by identifying people and measuring distances between them in real time.
  • By applying computer vision–based object detection, the system supports monitoring and enforcement of social distancing protocols in public spaces, particularly during the COVID-19 pandemic.
Code Thesis
Deep Learning
COVID-19 Detector
  • The project applies a Convolutional Neural Network to classify COVID-19 cases from lung X-ray images and improves performance through gradient descent optimization.
  • By training on labeled X-ray data, the model enables accurate and rapid diagnosis, offering potential support for early detection and healthcare decision-making, particularly where traditional testing resources are limited.
Code
Web Scraping
Online Grocery Store Scraper
  • The project involves web scraping product data from Bigbasket.com, including categories, descriptions, quantities, brands, prices, and images, and storing it in a reusable structured format.
  • The extracted data can be used for product analysis, price comparison, competitor tracking, and other business or research applications.
Code

Skills

Machine Learning Computer Vision Deep Learning Python Data Analysis NLP Medical Imaging Web Scraping

Personal Interests

🏋️ Weightlifting
🎵 Music
📱 Gadgets
🧪 Perfumery