Rajani Maski
Software Engineer IV at Shutterstock
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolRajani Maski is a Staff-level software engineer specializing in search, information retrieval, and multimodal AI for discovery systems, with 12 years of industry experience and 15+ years of domain engagement reflected in her Shutterstock role. Based in New York, she architects scalable search and ML-driven relevance features, blending Java/Scala expertise with distributed systems know-how gained at Shutterstock, Redis, and Lucidworks. Her background spans hands-on consulting and product work—from deploying search platforms for enterprise customers to building multimodal search pipelines—giving her a practical view of production-grade ML in search. She also pairs academic research experience from San Francisco State University with early engineering roles in India, which contributes to a strong mix of experimentation and production rigor. An often-overlooked strength is her track record of translating search research into customer-facing improvements, bridging IR theory and deployable engineering.
12 years of coding experience
9 years of employment as a software developer
Master of Science (MS), Master of Science (MS) at San Francisco State UniversityBachelors in Engineering, Bachelors in Engineering at Sri Jayachamarajendra College of Engineering, Mysore, India
Github Skills (32)
lucene10
search-engine10
nosql10
information-retrieval10
solr10
java10
backend10
apache9
partitions9
elasticsearch9
solrcloud8
clustering7
distributed-computing6
large-scale5
scala5
Programming languages (2)
Github contributions (5)
rajanim/fusion-spark-job-workbench
Oct 2019 - Jun 2020
Development kit for building custom Spark jobs for Lucidworks Fusion
Contributions:16 pushes in 9 months
development-kitlucidworksfusionsparkscala
rajanim/OpenSearch
Jan 2025 - Feb 2025
🔎 Open source distributed and RESTful search engine.
Contributions:3 pushes in 18 days
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