
Nikhil T.
Senior Software Engineer at LinkedIn
About
I'm Nikhil T., a Senior Software Engineer at LinkedIn currently leading the Core Recruiter Search applications team. My career has been defined by a focus on building high-impact, large-scale systems—from managing complex data infrastructure with Spark and Pinot to integrating advanced AI and semantic search into talent solutions. I am passionate about the intersection of search and AI, particularly in how we can build enterprise-grade agents and products from 0 to 1. I believe that to help the world hire the best talent, we need to foster a high talent density within our own teams. I'm currently looking to connect with backend engineers and search specialists who are excited about production AI and scaling cutting-edge technology. Whether it's discussing recsys or exploring new opportunities at LinkedIn and Socratix AI, I'm always happy to share what I've learned and find ways to collaborate.
Networking
What I can offer
- ›Opportunities to work on cutting-edge semantic search at scale
- ›Insights into high-impact AI systems and recruiter search technology
- ›Collaborative engineering leadership
Looking for
- ›Staff Software Engineers
- ›Founding Engineers for Socratix AI
- ›Backend engineers and search/recsys specialists with production AI experience
Best fit for
Current Interests
Background
Career
Progressed from software development internships and research roles at UCLA to a long-term engineering career at LinkedIn, moving from data infrastructure to leading core recruiter search and AI integration teams.
Education
Master’s Degree in Computer Science, UCLA (2017–2018); Bachelor’s Degree in Computer Engineering, University of Mumbai (2012–2016)
Achievements
- ›Leads the Core Recruiter Search applications team at LinkedIn
- ›Maintained 40+ Spark ETL pipelines for near real-time Talent Insights analytics
- ›Scaled Data Preparation code in Spark to enable training with significantly larger datasets
Opinions
- To help customers hire the best talent, the internal team must also consist of the best talent.
- Engineering should focus on building large-scale systems that have a massive impact on millions of users.
- Collaborative growth and co-advising within teams are essential for solving complex problems.