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Baraar Sreesha Srinivas

@baraarsreeshasriniva

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Applied AI & GTM Systems Engineer building production agentic workflows, RAG assistants, and enterprise integrations.

India

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What I'm looking for

I’m open to remote (US/EU/UAE/global) roles where I can architect production-ready GenAI/RAG workflows and GTM automation—built for strict latency/reliability, measurable quality, and real enterprise impact.

I’m an Applied AI and GTM Systems Engineer with 2.5+ years of experience shipping production agentic workflows, enterprise RAG assistants, and intelligent integrations. I architect FastAPI LLM services, custom API connections, and automated data pipelines to Salesforce, HubSpot, and SAP—focused on customer-facing delivery, rapid prototyping, and cost-aware, high-reliability automation.

In my current role, I partner with enterprise clients to design and deliver production-ready GenAI workflows over SAP and Salesforce under strict latency and reliability SLAs. I build agentic workflows with tool calling and structured JSON outputs, set up Phoenix observability and LangChain evaluations to ensure 95%+ accuracy, and deliver FastAPI RAG knowledge assistants with retrieval, grounding, and hallucination-control patterns.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Motiveminds Consulting Pvt Ltd

Jul 2025 - Present (11 months)

Partnered with enterprise clients to design and deliver production-ready GenAI agentic workflows over SAP and Salesforce under latency and reliability SLAs. Architected tool-calling, multi-step execution with structured JSON outputs, improving evaluation accuracy to 95%+ using Phoenix observability and LangChain evaluations, and built containerized FastAPI services.

fastAPI GenAI workflows Tool calling Structured JSON outputs LangChain evaluations Phoenix observability FastAPI SAP integrations Salesforce integrations Containerization (Docker)Agentic Workflows

Software Engineer (GenAI)

W3 SaaS Technologies Ltd.

Jan 2025 - Jul 2025 (6 months)

Built automated GTM lead-intelligence pipelines to improve lead generation efficiency by 20% by integrating Clay, n8n, Apollo, HubSpot, and Salesforce APIs. Automated prospect research and AI personalization to accelerate outbound lead generation by 50%, and engineered Dockerized Python/FastAPI microservices for secure, low-latency financial workflows.

N8n fastAPI Clay Apollo HubSpot APIs Salesforce API API Integration Python Docker API integration

GenAI Research Intern

Blockchain Laboratories

Jul 2024 - Dec 2024 (5 months)

Developed multi-agent GenAI prototypes using LangChain, LangGraph, CrewAI, AutoGen, and Agent Zero to benchmark orchestration stability and task decomposition. Improved RAG and multi-agent performance by 25% through advanced vector search, document chunking, and retrieval evaluation loops.