Homepage

Resume

Rahul Dhiman

Software Engineer | Backend, Search & AI Systems

Software engineer with ~4 years of experience building enterprise search, low-latency APIs, and production-grade LLM workflows. My work sits at the intersection of distributed systems, information retrieval, and product execution.

hi@rahuldhiman.com

rahuldhiman.com

github.com/Rahul-Dhiman

linkedin.com/in/rahul-dhiman-590132267

Experience

Software Engineer

Grazitti Interactive (SearchUnify)

2023 - Present

Hybrid / Remote

Own backend and AI-heavy initiatives for an enterprise search platform used across customer support and knowledge workflows.

  • Designed and scaled enterprise search systems serving 50K+ users across large support environments.
  • Built indexing pipelines for 10M+ documents across CRM, knowledge base, and internal content systems.
  • Reduced p95 latency from 400ms to 140ms through query optimization, caching strategy, and API tuning.
  • Developed backend services in Node.js and Python handling 1K+ QPS under production workloads.
  • Led Salesforce Service Cloud integration that improved knowledge recommendations and cut ticket resolution time by ~25%.
  • Built LLM-powered support automation with grounded retrieval and agentic workflows, reducing repetitive support queries by ~30%.
  • Improved reliability with fallback logic, production monitoring, and alerting around search failure states.

Software Engineer

Grazitti Interactive

2022 - 2023

On-site / Hybrid

Worked on search infrastructure foundations, ingestion pipelines, and production debugging across distributed services.

  • Built REST APIs and ingestion pipelines for search-oriented backend systems.
  • Designed batch and streaming workflows for document ingestion across multiple data sources.
  • Reduced ingestion failures by ~40% with retry orchestration, validation, and stronger failure recovery.
  • Debugged production issues in distributed services and improved service resilience.

Selected projects

Voice-to-Voice AI Support Agent

AI Systems

A low-latency conversational support pipeline that converts speech to action-ready answers in real time.

Impact: Delivered sub-2 second multi-turn interaction latency with session continuity, fallback handling, and voice-first orchestration.

Text-Based AI Support for Salesforce Case Management

Product Automation

A context-aware AI assistant embedded into case workflows to speed up responses and reduce manual effort.

Impact: Integrated AI suggestions into agent workflows and reduced case handling time by roughly 25 to 30 percent.

Production RAG System

Retrieval & Ranking

A grounded question-answering system built over enterprise knowledge with careful ranking, chunking, and answer controls.

Impact: Improved answer accuracy by ~35% through retrieval design, ranking strategy, chunk quality, and grounding discipline.

Multi-Source Enterprise Search

Search Infrastructure

A federated search experience spanning CRM, documentation, and internal knowledge systems.

Impact: Designed ranking, deduplication, and multi-source indexing for 10M+ documents across enterprise environments.