Sarthak Taneja

Software Engineer

Noida, Uttar Pradesh, India7 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Built scalable search systems for Adobe Lightroom.
Led enhancements for semantic search using advanced retrieval techniques.
Achieved low latency in ingestion and search pipelines.

Stackforce AI infers this person is a SaaS backend engineer specializing in search systems and data processing.

Contact

Skills

Core Skills

JavaElasticsearchAws LambdaPythonSpring Boot

Other Skills

Apache StormApache KafkaHBaseMicroservicesStormSparkAmazon RedshiftPySparkGo (Programming Language)AWS Step FunctionsAWS GlueC++ProgrammingAlgorithmsData Structures

About

An Experienced Software Engineer (7+ years) and an enthusiastic learner. - Built and scaled Search systems for Adobe Lightroom, supporting 40B+ images, 100K+ RPM ingestion, and 2K+ RPM queries using Java, Spring Boot, Elasticsearch, HBase, Storm, Spark - Led semantic search enhancements using embedding-based retrieval, significantly improving relevance for complex and natural-language queries. - Owned high-throughput ingestion and search pipelines achieving < 1 min ingestion latency and < 500 ms search latency under strict SLAs - Previously, I was a part of Adobe Sensei Team(ML Platform Development) where I worked on scalable web services using Technologies like Java, Spring, Docker, AWS, HBase etc. - Experience of working on Search Indexing and Relevance at LinkedIn.

Experience

7 yrs 10 mos

Total Experience

3 yrs 11 mos

Average Tenure

6 yrs 8 mos

Current Experience

Adobe

5 roles

Computer Scientist 2

Promoted

Feb 2025 – Present · 1 yr 4 mos

Built and scaled Search systems for Adobe Lightroom, supporting 40B+ images, 100K+ RPM ingestion,
and 2K+ RPM queries using Java, Spring Boot, Elasticsearch,
HBase, Storm, Spark
Led semantic search enhancements using embedding-based retrieval, significantly improving relevance for complex and natural-language queries.
Owned high-throughput ingestion and search pipelines achiev-
ing < 1 min ingestion latency and < 500 ms search latency
under strict SLAs

ElasticSearchApache StormJavaApache KafkaHBaseMicroservices

Computer Scientist (SDE 3)

Mar 2023 – Feb 2025 · 1 yr 11 mos

Behavioral Data Pipelining and Developer Productivity Automations

AWS LambdaAmazon RedshiftPythonPySparkGo (Programming Language)AWS Step Functions

Computer Scientist (SDE 3)

Feb 2022 – Feb 2023 · 1 yr

Working in Lightroom Search & Recommendation Team
Using Technologies like Java, Springboot, ElasticSearch, Docker, Apache Storm, Hbase, Apache Spark, Apache Airflow etc.

JavaSpring BootElasticSearchApache Storm

Member Of Technical Staff 2

Jan 2021 – Feb 2022 · 1 yr 1 mo

Working in Lightroom Search & Recommendation Team
Using Technologies like Java, Springboot, ElasticSearch, Docker, Apache Storm, Hbase, Apache Spark etc.

JavaSpring Boot

Member Of Technical Staff 2

Sep 2019 – Jan 2021 · 1 yr 4 mos

Part of Content Processing Framework(CPF) Team in Adobe Sensei
Worked on scalable web services using Technologies like Java, Spring, Docker, AWS, HBase etc.

JavaSpring Boot

2 roles

Software Development Engineer

Jul 2018 – Sep 2019 · 1 yr 2 mos · Bengaluru, Karnataka, India

Worked on Search Indexing & Relevance for LinkedIn Learning Search.
Worked on solving cold-start problem in Search.
Used technologies like Java, LinkedIn's Search Architecture - Galene, Apache Pig, Apache Spark, Kafka, Hadoop

Java

Software Development Intern

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

Worked on building a flexible training pipeline for LinkedIn Learning Search using OOPs.
Wrote the end-to-end training workflow of Hadoop jobs which can be scheduled and run periodically to generate machine-learned models for search.
Used technologies like Scala, Java, Hadoop, Scalding for Map-Reduce Jobs.