Rajani Maski - Search AI Engineer & Senior Developer

Professional Summary

Results-driven Senior Developer and Search AI Engineer with 16 years of experience in designing and developing large-scale search and machine learning applications. Proven track record in architecting high-performance, distributed search platforms using Apache Lucene, Solr, Elasticsearch, OpenSearch, Apache Spark, Redis, and RediSearch. Adept in ranking algorithms, ML-powered search applications, Learning to Rank (LTR), vector search, hybrid search, and RAG-based AI solutions.

Technical Expertise

Search ML & AI

Apache Lucene
Apache Solr
OpenSearch
Elasticsearch
RAG, LLMs, Embeddings, Vector Databases
Learning to Rank (LTR)
Hybrid Search
Apache Spark
RediSearch
Graph Databases

Programming

Python
Java
Scala
Bash

Cloud & Infrastructure

AWS Solutions Architect
AWS Machine Learning Professional
Google Cloud Platform
Kubernetes
Terraform
Github CI/CD

Professional Experience

Software Engineer IV

Shutterstock, New York | May 2022 - Present

Architected large-scale search infrastructure serving 2K+ RPS with terabytes of indexed data
Developed ML-powered ranking models using Learning to Rank (LTR)
Built data pipelines integrating search logs with machine learning workflows

Professional Services Consulting Engineer

Redis, New York | Dec 2020 - May 2022

Built solutions using RediSearch, RedisGraph, and vector search
Performance benchmark of Redis data structures
Led Redis Developer and Admin workshops

Senior Search Consultant

Lucidworks, New York | Jun 2018 - Dec 2020

Designed full stack search applications for digital workplace and commerce
Implemented large scale search analytics using Apache Spark and Solr
Developed ML-based Learning to Rank models

Education

Masters in Computer Science

San Francisco State University, USA | 2016 - 2018

Research: Efficient & Effective Search for Large Textual Collections using ML techniques

Bachelors in Engineering, Instrumentation & Technology

Visvesvaraya Technological University, India | 2005 - 2009