Open to opportunities

Sagar Pahariya

@sagarpahariya

Message

I build production-grade GenAI systems, combining RAG, LLMOps, and cloud architecture.

Zimbabwe

Message

What I'm looking for

I’m looking for hybrid AI roles where I can own GenAI architecture and product outcomes—turning stakeholder pain points into PRDs, roadmaps, and scalable RAG/multi-agent systems, with strong collaboration across engineering, QA, and clients.

I’m a Lead Software Engineer and GenAI specialist with 3.5+ years building production-grade AI products. I combine deep expertise in LLM frameworks and RAG systems with a product-management mindset to gather requirements, define roadmaps, and drive stakeholder delivery.

In my recent roles, I’ve built and deployed RAG pipelines using LangChain, Autogen, Neo4j, ChromaDB, Weaviate, and Azure OpenAI—designing hybrid vector + graph retrieval for context-rich responses. I’ve also owned end-to-end solution architecture for RAG and multi-agent systems, including LLM selection, retrieval strategy, modeling, and AWS deployment.

I mentor others on LLMOps, prompt engineering patterns, and agentic workflow design to keep architectures consistent. I’m now targeting hybrid AI Product Manager / AI Solution Architect roles where I can translate user pain points into clear PRDs and scalable GenAI implementations.

Experience

Work history, roles, and key accomplishments

Current

Lead Software Engineer

Current

Persistent System

Apr 2026 - Present (2 months)

Gathered enterprise client requirements, defined product scope, and authored user stories and sprint backlogs while facilitating Agile ceremonies across engineering and QA teams. Researched MCP and agentic frameworks to deliver adoption roadmaps and mentored junior engineers on LLMOps, prompt engineering, and agentic workflow design.

Agile Scrum Story Mapping LLMOps Prompt Engineering MCP Stakeholder Management Azure OpenAI

Software Engineer (GenAI)

Xoriant

Oct 2024 - Mar 2026 (1 year 5 months)

Built and deployed RAG pipelines using LangChain and Autogen with Neo4j, ChromaDB, Weaviate, and Azure OpenAI, including hybrid vector + graph retrieval for context-rich responses. Designed end-to-end architecture for multi-agent RAG systems, coordinated with clients on pain points and MVP scope, and contributed to internal technology evaluation and research outputs.

Lang Chain AutoGen Neo4j Weaviate ChromaDB Azure OpenAI System Architecture

Trainee Pipeline Technical Director

Red Chillies Entertainment

Apr 2023 - Mar 2024 (11 months)

Identified artist pain points in manual VFX workflows and scoped delivery of two tools: an image segmentation pipeline and a project knowledge chatbot. Built a HuggingFace image segmentation pipeline and a LangChain-based internal chatbot, defining model selection, retrieval flow, and DCC pipeline integration.

Segmentation Lang Chain Knowledge Bot Retrieval Flow Design DCC Pipeline Integration

Data Analyst

Phame Technology

Jan 2022 - Mar 2023 (1 year 2 months)

Defined data collection requirements with stakeholders and delivered Tableau/Power BI dashboards aligned to business reporting needs. Designed scheduled ingestion pipelines with EDA and relational database storage, and built a chatbot knowledge base architecture from collected datasets.

Tableau Power BI Data Collection EDA Data Pipelines Relational Databases Chatbot Knowledge Base Design Stakeholder Management