Nitin D.

CEO

Bengaluru, Karnataka, India11 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

12 years of experience in scalable information retrieval systems.
Led cross-functional teams to enhance search quality at Amazon.
Expert in LLM and RAG technologies for search systems.

Stackforce AI infers this person is a SaaS expert specializing in search systems and information retrieval.

Contact

Skills

Core Skills

Information RetrievalLarge Language Models (llm)

Other Skills

Retrieval-Augmented Generation (RAG)SearchData StructuresElasticSearchCouchDBRedisJavaC++MySQLAlgorithmsLinuxData PipelinesHibernateSpring MVCC

About

I have 12 years of building highly scalable information retrieval systems across multiple organizations. These days, I am Demystifying search quality for Amazon’s search engine—spanning 100+ services and teams—by building an LLM-powered, RAG-enabled agentic system (backed by pipelines processing 100B+ records/day) that pinpoints the gaps in search to its cause.

Experience

11 yrs 10 mos

Total Experience

2 yrs 11 mos

Average Tenure

6 yrs 9 mos

Current Experience

Amazon

4 roles

Engineering and Analytics Manager - Amazon Search (Agentic(LLM) Search understanding)

Promoted

May 2025 – Present · 1 yr

Leading Amazon Search Matching Quality org, a cross-functional team of engineers, scientists, and analysts to design and build an LLM-powered, agentic system that investigates and diagnoses search quality issues end-to-end.
My team is Demystifying search quality for Amazon’s search engine, which spans 100+ services and teams, making it challenging to pinpoint how specific metrics and system behaviors shape customer experience. A few highlights are:
1. Engineering massive-scale data pipelines processing 100B+ records/day, powering the RAG system used by search understanding LLM agents.
2. Automating deep-dive investigations into search behaviors, enabling the system to explain why a given search result appears, how multiple teams’ systems interact, and which metrics most influence customer experience.
3. Delivering a single authoritative source of truth for search-related questions, significantly reducing the time to identify, understand, and address quality issues across the organization.

Large Language Models (LLM)Retrieval-Augmented Generation (RAG)Information RetrievalSearchData StructuresElasticSearch+7

Software Development Manager - AWS ECS/Fargate

Jul 2023 – Apr 2025 · 1 yr 9 mos

Lead Control Plane teams in AWS ACS/Fargate org

Software Development Manager - Amazon Search

Promoted

Jan 2021 – Jul 2023 · 2 yrs 6 mos

Lead engineering team to enhance search experience for Amazon Business(B2B) vertical

Senior Software Engineer - Amazon Search

Jul 2019 – Jan 2021 · 1 yr 6 mos

Lead search relevance quantification and improvement program for Amazon Business
Built Alternates and Matching platform which enables finding products with their external identifiers(sku, manufacturer, etc) in Amazon catalog. Used across 10+ systems within Amazon business.