Logistics Tech

• Generated realistic 3-D scenes for 5 objects with 10 environments from 2-D using NeRF for surface reconstruction• Employed neural decoder models in the ENVIDR algorithm to extract texture maps for albedo and roughness components• Improved user experience by integrating SDF-Studio, yielding a user-friendly API for seamless NeRF creation, training, testing• Added Custom GUI using the nerfstudio framework for changing the environment on the web-based viewer in real-time

• Pioneered a groundbreaking solution to revolutionize road safety by detecting, tracking, and counting triple-riding violations and helmet offenses on challenging, bustling roads.• Engineered a novel trapezium box representation and harnessed the power of curriculum learning-based detection models to achieve unparalleled accuracy in identifying and addressing violations.• Significantly improved F1-scores for both triple-riding and helmet violations, surpassing existing benchmarks, showcasing the potential to enforce safer commuting practices and protect lives on the road.

• Utilized data analysis techniques to extract and interpret key performance indicators (KPIs) from the properties' datasets in the Gurugram region. These insights contributed to data-driven decision-making processes.• Conducted comprehensive analysis of various factors affecting apartments, such as location, amenities, and market trends. The result was the development of a holistic property scoring system that provided valuable guidance to customers and stakeholders.• Collaborated with cross-functional teams to conceptualize the Data Architecture of the organization. Additionally, played a crucial role in the evaluation and purchase of wireframe tools, enhancing the efficiency of data visualization and reporting processes.

Collaborated with 20+professors & 30+representatives from 15+colleges of Jaipur & Kolkata Region to help witness 1.2k+ participants & 52+eminent entrepreneurs for our annual flagship event by increasing student participation by 120% & generating incremental revenue worth INR 3.3L YoY.

• Conducted research on enhancing autonomous driving vehicles' scene understanding in adverse weather conditions.• Developed and curated a diverse dataset of 1K+ images encompassing 5 weather classes to train and validate models effectively.• Spearheaded a comprehensive literature survey on Convolutional Neural Network (CNN) models to pave the way for implementing Variational Autoencoders (VAE) in the project.

• Led collaboration with Fytorem, a pioneering plant-based air purifier startup, to devise and execute a highly effective Go-To-Market Strategy, resulting in accelerated market penetration and increased customer engagement.• Partnered with World Vision NGO to analyze and derive valuable insights on Employment in India, leveraging a vast dataset of 16K+ answers from 4 cities, contributing to data-driven decision-making and impactful social initiatives.• Published (2/20+) cutting-edge reports on 5G and Cryptocurrency, solidifying expertise in emerging technologies and creating a significant impact, reflected in a remarkable growth of 4K+ social media followers.