Profile
Jayesh Shende
I build enterprise search systems and lead the engineers who operate them. I can also work as a forward deployed search engineer, embedded with the team that owns the system. The books and notes are published under the name Oppority. I am based in India.
Availability
I am open to full-time employment, and to a long-term contract that would be the role.
I can work as a forward deployed search engineer: embedded with a team, close to the search system, for the length of that role.
The same commitment applies to a team, a project, a company, or an advisory board.
A conversation starts on LinkedIn.
Companies and recruiters
Who is Jayesh Shende?
Jayesh Shende is an engineering manager and search engineer. For about ten years his work has centered on Apache Lucene, Apache Solr, Elasticsearch, and OpenSearch. He publishes books and notes under the name Oppority.
What does Jayesh Shende do?
He builds enterprise search systems and leads the engineers who operate them. He can also work as a forward deployed search engineer, embedded with the team that owns the system. The public record is the Work page. Each entry states the problem, the approach, and the conclusion.
Is Jayesh Shende available for a role?
Jayesh Shende is open to full-time employment and to a long-term contract that would be the role, including work as a forward deployed search engineer. He is also open to a commitment with a team, a project, a company, or an advisory board. A conversation starts on LinkedIn.
Can Jayesh Shende work as a forward deployed search engineer?
Yes. He can take that role embedded with a team, close to the search system, as full-time employment or as a long-term contract that would be the role.
Where is Jayesh Shende based?
Jayesh Shende is based in India.
How does a company or a recruiter start a conversation?
A conversation starts on LinkedIn, at https://www.linkedin.com/in/mrjayeshshende.
Which search systems does Jayesh Shende work with?
Apache Lucene, Apache Solr, Elasticsearch, and OpenSearch, over about ten years. The subject map also lists what he is reading, including hybrid search and Luxir.
Owners and industry leaders
Can Jayesh Shende commit to a team, a project, a company, or an advisory board?
Yes. He is open to full-time employment and to a long-term contract that would be the role, including work as a forward deployed search engineer embedded with the team. The same commitment applies to a team, a project, a company, or an advisory board.
What search problems are described in public?
The Work page describes public search at large scale, concept search, a retail catalog across channels, returning one best record, a move between search engines, leading a search group, and a hands-on reading of a new engine. Each record is a problem, an approach, and a conclusion.
What does Jayesh Shende hold about leading engineers?
The team's output is the work. The Kindle book, Your First 90 Days as a New Engineering Manager, is the long version. A short note on this site is Your output is no longer your output.
Readers and followers
What is Oppority?
Oppority is the name on Jayesh Shende's books and notes.
Where should a new reader start?
Start with the Work page for the records, the Writing page for the notes, and the book page for the Kindle title. Topics arranges the subjects from the general to the specific.
Where else does Jayesh Shende publish?
Notes are on this site, on Medium, and on DEV. The Kindle book is on Amazon. LinkedIn is the profile.
Open source
How does Jayesh Shende relate to open-source search?
His practice sits in the Lucene family: Lucene, Solr, Elasticsearch, and OpenSearch. He also published a laptop guide for Luxir, an open-source hybrid engine by Yonik Seeley. The guide is on this site.
Which open-source projects does Jayesh Shende maintain?
(Exploring answer to this.)
People working in the field
What does Jayesh Shende hold about hybrid search?
Use the dense signal where meaning is fuzzy, and keep a precise lexical handle where it is not. Measure the blend. Do not assume the new signal is kinder. That conclusion is written on the Work page.
What is Jayesh Shende studying that is not yet a finished method?
Vector search set beside lexical tagging, quantum search as a different representation, and how an assistant chooses a page to cite. Those subjects are on the Topics page as readings.
When does quantum search beat a classical index?
(Exploring answer to this.)
What is Jayesh Shende's method for answer-engine or generative-engine optimization?
He studies how an assistant finds a page and names it. That subject is AI visibility on this site. A measured method is not published here. (Exploring answer to this.)
Where are his papers, talks, and a public code profile listed?
(Exploring answer to this.)
Where to read
Elsewhere
Longer notes are on Medium and DEV, and they are indexed here too. LinkedIn is the profile.