Vansh Agarwal
GenAI Engineer @ Evolver
United States
San Francisco
Information Technology & Services
Marketing, Information Retrieval, Retrieval-Augmented Generation (RAG), Amazon Web Services (AWS), PyTorch, LangChain, Transformer Models, Reinforcement Learning, OR Tools, Quality Assurance, Full-Stack Development, Data Engineering, Data Extraction, Data Analytics, Visualization, Data Science, Pandas (Software), Creativity and Innovation, Product Ideation, C#
Experience

ML Research Assistant
Evanston, Illinois, United States
Developed a multimodal image retrieval system using FAISS, CLIP-ViT (Vision Transformer), and Flask, enabling image and text-based queries to improve search efficiency in large unstructured collections. Designed a data extraction pipeline from Mapillary and fine-tuned YOLOv8 and YOLOv9 models to detect CCTV cameras, achieving F1 scores of 68% and 81% on test sets to analyze their utilization, deployment, distribution, and privacy impact. Extracted and transformed data to identify racial discrepancies in sentencing within counties of California, employing advanced analytics to uncover potential biases. Designed an automated pipeline for a Yale University lab to extract and summarize court cases, enhancing accessibility through Flan-T5 and GPT-4 integration.

Data Scientist
Chicago, Illinois, United States
Researched and applied the Google Operations Research Tools VRP Solver to enhance logistics operations for John Deere. Tailored a solution with multiple capacities and resources, time windows, multiple visits, ordered visits, vehicle reloading, and other constraints, resulting in a 36% decrease in depreciation expense per productive hour.

ML Research Assistant
Evanston, Illinois, United States
Predicted candidate galaxies for deeper observation of Low Surface Brightness Structure (LSB) using galaxy simulations. Implemented a CNN in Keras/TensorFlow, achieving 83% accuracy in classifying low surface brightness galaxies.

Data Engineer
Bengaluru, Karnataka, India
Automated twelve global reports for McDonald's by building ETL pipelines, enabling data insights and boosting service speed by 39%. Extracted, transformed, and orchestrated data from multiple sources, including Redshift, SQL Server, and S3, using Databricks' Lakehouse; loaded the transformed data into Redshift and utilized Tableau for data visualization.

Founder
Rapid Leads Glide
Delhi, India
https://rapidleads.glideapp.io/ Launched a non-profit Covid-19 resources app with Glide Apps during India's critical second wave, featuring automated resource verification through users' actions, fraud detection, map integration, and more to address the urgent public health crisis. Coordinated a network of 200+ volunteers across India, gathered 1728 resource leads spanning 87 cities, and merged Rapid Leads with Covid Relief India Alliance (https://life.coronasafe.network/partners) for centralized data management.
Vansh Agarwal's Contact Information
Phone
Find the Right Leads
Find Verified Contact Data
What LeadContact does well
Find verified emails, phone numbers, and decision-makers with 98% accuracy.
Find Leads
Find the right people by company, role, industry, location, and more.
925M+ professional profiles

Find Emails
Access verified email addresses for your target contacts.
657M+ emails

Find Phone Numbers
Get cross-validated phone data from multiple top sources.
239M+ phone numbers

More Accurate. Lower Cost.
Find contact data in 1 tool with 98% accuracy
LeadContact integrates leading enrichment tools to deliver more accurate contact data—without paying for each one.
Great conversations start with the right contact.
It’s time to find yours.






