# Ujjwal K. > Software Engineer, Meta Superintelligence Labs Location: San Francisco Bay Area, United States Profile: https://flows.cv/ujjwalk Software Engineer working on development of large language and vision models https://ai.meta.com/people/1067528568193397/ujjwal-karn/ • Core Contributor to Llama 3 • Google Scholar: https://scholar.google.com/citations?user=nzSKdCsAAAAJ • Competitions Expert on Kaggle: www.kaggle.com/ujjwal • Blog @ http://ujjwalkarn.me/blog • http://github.com/ujjwalkarn ## Work Experience ### Staff Software Engineer @ Meta Jan 2021 – Present | Menlo Park, CA Core Contributor to Llama 3 and Meta AI assistant launch. ### Software Engineer @ Facebook Jan 2015 – Jan 2021 | Singapore • Supported expanding Facebook Marketplace to 30+ countries • Launched new products like Job Postings, Offers and Instagram Business Profiles ### Business Analyst (Data Science) @ Accenture Jan 2013 – Jan 2015 | Bangalore • Used R for data cleaning and preparation, feature selection, exploratory analysis, user segmentation and predictive modeling for several international clients. • Applied machine learning techniques such as clustering, classification, regression, principal component analysis, and decision trees to generate insights for decision making. • Worked on text mining, natural language processing, sentiment analysis and topic modeling using Latent Dirichlet Allocation. • Experience in creating dashboards/reports using Tableau/Power View/Excel. Worked on SAS for feature selection, statistical analysis, cross-sell modeling and weblog analysis. ### Research Intern @ Indian Institute of Technology, Delhi Jan 2012 – Jan 2013 Worked on developing an exoskeleton meant for controlling the movement of KUKA Robot (http://www.kuka.com) at the Autonomous Robotics Lab. ### Research Intern @ Indian Institute of Science Jan 2012 – Jan 2012 • Was among the 25 people selected from about 2300 applicants all over India to receive the UGC Scholarship in Electrical Engineering to work on a project at Indian Institute of Science, Bangalore. • Worked on building a real-time multiple-object tracking system for humans and vehicles. The system captures objects through distributed cameras placed at different locations, processes the information and comes to a consensus. • Used and implemented the Histogram of Oriented Gradients (HOG), Support Vector Machine (SVM), Mean-Shift Tracking and the Kalman Consensus algorithms in OpenCV on Linux. Hardware implementation of the project was done using Beagle Board. ## Education ### Master's Degree in Artificial Intelligence The University of Texas at Austin ### Bachelor of Engineering in Electrical and Electronics Birla Institute of Technology, Mesra ### High School Jawahar Vidya Mandir, Shyamali ## Contact & Social - LinkedIn: https://linkedin.com/in/ujjwalkarn - Portfolio: https://ujjwalkarn.me - Portfolio: https://ujjwalkarn.me/blog - GitHub: https://github.com/ujjwalkarn --- Source: https://flows.cv/ujjwalk JSON Resume: https://flows.cv/ujjwalk/resume.json Last updated: 2026-04-12