About Surabhi
AI Automation Engineer building custom workflows and agentic AI systems that take repetitive work off teams' plates — with a human-in-the-loop gate wherever being wrong is expensive. I work across high-ROI niches (insurance, finance, SaaS, real estate), adding an LLM reasoning layer where a workflow needs to think, not just route. Backed by cloud data-engineering and LLM/RAG foundations.
English
Native or bilingual
French
Basic
Remote only
Primarily works remotely
Experience
- EarlyEchoAI Automation EngineerJanuary 2025 - Today (1 year and 6 months)Custom AI automations with human-in-the-loop control for founders and small teams. Selected builds:· Voice AI lead-intake agent (P&C insurance) — calls, qualifies & books leads in under30s, 24/7; escalates licensed work to a producer. (Retell · n8n)· Automated client reporting (fractional CFOs) — QuickBooks → drafted narrative; holdsdirty-data or material-swing months for a human. (n8n · LLM)· RAG support agent with confidence gating (B2B SaaS) — deflects tier-1 tickets, citessources, never auto-answers billing/refunds/security. (n8n)· Real-estate speed-to-lead (GoHighLevel) — personalized first-touch text + emaildrafted in under 2 min, with TCPA & high-value guardrails. (n8n)· Invoicing automation (Gmail, Slack, n8n) — one-click verify + Send/Edit approval,cutting invoicing from ~20 min to ~2.Stack: n8n · Retell (voice) · REST APIs · Webhooks · OAuth · Python / JavaScript · LLM APIs (OpenAI, Claude) · RAG · Vector stores · Claude Code.
- IndependentIndependent Projects - Cloud data Engineering, AI automationSeptember 2024 - Today (1 year and 10 months)Cloud Data Warehouse with Azure SynapseDesigned and built an end-to-end cloud data warehouse using Azure Synapse Analytics. Star schema design, high-speed ingestion from Azure Blob Storage, query optimization across distributed compute nodes, Power BI dashboard integration. The same discipline now applied to marketing performance pipelines.AI Research AgentBuilt an autonomous research agent orchestrated by Claude via LangChain, capable of selecting and chaining tools to answer natural language queries. Strict separation between agent core and tool definitions; Pydantic for structured outputs. Same architecture applied to marketing operations workflows.AI-Powered Business Insight GeneratorBuilt an AI system that generates business insights from raw performance data. Python pipeline pulling from SQL, NLP layer using transformers for plain-language summaries, interactive Streamlit dashboard for real-time KPI visualization.Cloud-Native ETL Pipeline on GCPContainerized data pipeline on GCP using Kubernetes orchestration, BigQuery for analytics storage, Terraform for infrastructure-as-code. Python ETL workers, automated scheduling via CronJobs, CI/CD through GitHub Actions.
- Dassault SystèmesCompensation Management InternFebruary 2024 - July 2024 (5 months)FranceWorked at the intersection of finance, sales operations, and analytics. Automated ETL pipelines with Excel, Power Query, SAP, and TM1. Built Power BI dashboards for global sales compensation reporting.
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Education
- MSc (DESMI), Specialised Master's DegreeSKEMA Business School2024MSc (DESMI), Specialised Master's Degree
- Bachelor's Degree in TechnologySRM University2019Bachelor's Degree in Technology