Sriram Vasudevan

AI Researcher

San Francisco, California, United States9 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI and Computer Vision for SaaS applications.

Machine LearningArtificial IntelligenceBig DataDeep LearningComputer VisionAlgorithms

Amazon EC2Apache SparkBashC++Data StructuresDjangoEclipseGitHTMLHadoopJavaJavaScriptLarge Language Models (LLM)LinuxMatlab

9 yrs 5 mos

Total Experience

9 yrs 5 mos

Average Tenure

9 yrs 5 mos

Current Experience

2 roles

Jan 2017 – Present · 9 yrs 5 mos

Tech Lead for Job Search and Recommendations.
Formerly led Matching Quality and Seeker Growth teams, implementing AI initiatives to improve result relevance and optimize the efficiency and effectiveness of jobs-related notifications and emails.
Earlier work includes spearheading the development and deployment of LiFT (LinkedIn Fairness Toolkit), a Responsible AI library for bias measurement and mitigation in ML pipelines, and building Data Sentinel, a large-scale data validation system that ratifies 1000+ production datasets at LinkedIn.
Filed multiple patents and presented at conferences like ICDE, CIKM, and KDD.
Mentored interns and engineers in leadership, execution, and craftsmanship.

Apache SparkWeak SupervisionMachine LearningArtificial Intelligence

Jan 2016 – Jan 2016 · 0 mo · Sunnyvale, CA

Worked on one of the first TensorFlow projects at LinkedIn. Built a TF pipeline to apply the Doc2Vec algorithm on job postings to cluster jobs with similar descriptions.

C++TensorFlowMachine LearningDeep Learning

Jan 2015 – Jan 2015 · 0 mo

Google Summer of Code 2015 Student for the Africa Soil Information Service (funded by the Bill & Melinda Gates Foundation), under the mentorship of researchers at Quantitative Engineering Design and Columbia University.

Jan 2014 – Jan 2014 · 0 mo · Bangalore, India

Worked with smart glass technology to enable data transfer using computer vision, under the mentorship of Dr. Krishna Chintalapudi, as a research intern in the Mobility, Networks & Systems Group.

C++AlgorithmsComputer Vision

Jan 2013 – Jan 2013 · 0 mo · Chennai, India

Built a real-time brand analytics system that utilized computer vision to identify and categorize sponsorship signage in sports footage. Developed a proof-of-concept for the 2013 Formula 1 season. The system was demoed at the 2014 Malaysian GP.
Built a system that used computer vision and OCR to digitize physical documents in bulk.

C++Machine LearningComputer Vision