Shivang Dubey
AI RESEARCHER DEVELOPER

SHIVANG DUBEY

ZS ASSOCIATES · GURUGRAM, INDIA
SCROLL
01 ABOUT

Associate at ZS, passionate about leveraging AI for real-world applications.

Background in Electronics and Communication Engineering, specializing in computer vision, medical imaging, and anomaly detection. Previously conducted research on traffic signal detection at IIIT Delhi and network intrusion detection at Polytechnique Montréal.

02 EXPERIENCE
Sep 2023 – Present
Associate 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; developed VBA-driven Excel automation to streamline reporting.
  • Led backend development for a technology migration project using Python and Flask, integrating with an AngularJS frontend.
Jul 2023 – Aug 2023
Research Assistant IIIT Delhi
  • Worked with Dr. Saket Anand on vision-based perception for autonomous driving, focusing on traffic signal and road pattern detection.
  • Experimented with and evaluated models using YOLOv5, PyTorch, and TensorFlow.
  • Supported data preparation, analysis, and performance assessment across different traffic and environmental conditions.
May 2022 – Jul 2022
Summer Research Intern Polytechnique Montréal
  • Collaborated on a network intrusion detection system using deep reinforcement learning.
  • Worked on a Deep Q-Learning approach and compared it with SVMs, Random Forests, and CNNs using TensorFlow.
  • Conducted comparative analysis to evaluate model effectiveness and summarize key insights.
Jun 2021 – Aug 2021
Research Intern IIT Delhi
  • Conducted market research to analyze factors driving product success and failure.
  • Developed a product case study applying STP framework and marketing mix to inform strategic decisions.
2021 – 2023
Content Strategist Coding Ninjas
  • Led content strategy for the AI domain, overseeing a large portfolio across ML, NLP, and Computer Vision.
  • Coordinated with writers and technical reviewers to ensure accuracy and consistency with industry standards.
03 WORK
CV / Thesis

Social Distancing Violation Detection

Uses YOLO and OpenCV to detect social distancing violations in CCTV footage by identifying people and measuring distances in real time. Supports monitoring and enforcement in public spaces.

Code ↗ Thesis ↗
Deep Learning

COVID-19 Detector

Applies a Convolutional Neural Network to classify COVID-19 cases from lung X-ray images, improving performance through gradient descent optimization. Enables accurate and rapid diagnosis.

Code ↗
Web Scraping

Online Grocery Store Scraper

Scrapes product data from Bigbasket.com — categories, descriptions, quantities, brands, prices, and images — storing it in a reusable structured format for analysis and research.

Code ↗
04 SKILLS
Machine Learning Computer Vision Deep Learning Python Data Analysis NLP Medical Imaging Web Scraping PostgreSQL ETL Pipelines Apache Airflow PyTorch TensorFlow Flask Amazon S3

BEYOND CODE

🏋️ Weightlifting 🎵 Music 📱 Gadgets 🧪 Perfumery