Available for opportunities

Abhishrut Giradkar

Building intelligent automation systems and AI pipelines that eliminate manual work. Currently engineering production-grade workflows for GetRepaired.de, Germany.

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01 — Who I Am

Building the future
with automation

I'm an AI Automation Engineer with a passion for eliminating repetitive work through intelligent systems. I specialize in building end-to-end automation pipelines that connect APIs, process data, and make decisions — all without human intervention.

Currently working remotely with GetRepaired.de (Germany), where I've built and deployed 9+ production workflows covering the complete lead lifecycle — from discovery to conversion.

My approach combines deep technical execution with business-first thinking. Every workflow I build solves a real problem and delivers measurable ROI — not just a technical demo.

9+
Production workflows deployed
10+
Hours saved per week for client
100%
Workflow uptime achieved
3+
AI pipelines built end-to-end
02 — What I Know

Tools & Technologies

AI & Automation
n8nLangChainRAG AI AgentsMakeZapier OpenAI APIClaude APIGroq
🔧
Backend & Infrastructure
PythonJavaScriptREST APIs WebhooksDockerPostgreSQL LinuxHetznerSSL
📊
Data & Analytics
SQLPower BIDAX PandasNumPyMatplotlib ExcelMySQL
📧
Lead Gen & Email
Lead CaptureLead Nurturing Email OutreachSMTP BrevoClick TrackingOpen Tracking
🤖
AI & Vector Technologies
SentenceTransformersChromaDB LLaMA 3.1Streamlit Vector EmbeddingsPrompt Engineering RAG ArchitectureCosine Similarity Jupyter NotebookGit
03 — Where I've Worked

Work Experience

Oct 2025 — Present
AI Automation Engineer
GetRepaired.de · Germany · Remote · Contract
  • Built and deployed 9+ production n8n workflows covering the full lead lifecycle — lead generation, capture, nurturing, and automated email outreach — reducing manual processing by 10+ hours/week.
  • Designed a lead generation pipeline that automatically discovers, qualifies, and routes inbound leads from multiple sources using webhook triggers and HTTP Request nodes.
  • Built email open and click tracking system using pixel-based tracking and redirect workflows, enabling real-time campaign visibility.
  • Architected a webhook-based parent–child workflow pattern to eliminate execution timeouts, achieving near 100% uptime.
  • Implemented dynamic email sequencing and lead scoring using JavaScript Code nodes for personalized multi-step outreach.
  • Set up self-hosted n8n on cloud with Docker, SSL, and PostgreSQL — giving the client full data ownership with zero monthly SaaS cost.
  • Built a production-ready RAG AI chatbot for the platform using ChromaDB, LLaMA 3.1, and Streamlit — ready for deployment when website goes live.
04 — What I've Built

Featured Projects

01 / Production · GetRepaired.de
🚀
LIVE · Production
Lead Generation Pipeline
End-to-end automated lead generation system for GetRepaired.de. Automatically discovers, qualifies, and routes inbound leads from multiple sources. Uses webhook triggers, HTTP Request nodes, and intelligent scoring logic to ensure only high-quality leads enter the CRM — eliminating manual sourcing entirely.
n8nWebhooks HTTP APIJavaScript PostgreSQLLead Scoring
02 / Production · GetRepaired.de
📧
LIVE · Production
Lead Nurturing + Email Tracking
Multi-step automated email nurturing system with pixel-based open tracking and redirect-based click tracking. Delivers personalized sequences based on lead behavior and engagement scoring.
n8nBrevo SMTP Pixel TrackingJavaScript Email Sequencing
03 / AI Pipeline · GetRepaired.de
🤖
⚡ RAG · AI
Get Repaired AI Chatbot
Production-ready RAG pipeline. Converts platform knowledge base into vector embeddings, retrieves context via ChromaDB, and generates accurate answers using LLaMA 3.1. Branded Streamlit UI ready for deployment.
PythonChromaDB LLaMA 3.1Groq StreamlitSentenceTransformers
04 / Data Analysis
📈
Indian Startup Funding Analysis
Cleaned 2,000+ funding records. Generated 15+ analytical summaries identifying top investors, sectors, and trends. 98% data accuracy.
PythonPandas MatplotlibSeaborn
05 / BI Dashboard
📊
Adventure Works Sales Dashboard
Star-schema model with 8+ fact/dimension tables. 25+ DAX measures for dynamic KPI tracking across 10+ regions and 5+ product categories.
Power BIDAX Data ModelingStar Schema
06 / SQL Case Study
🗄️
Maven Movies Business Analysis
Analyzed 16+ tables, 10,000+ records. Optimized SQL using JOINs, CTEs, and window functions to generate 12+ business intelligence reports.
MySQLJOINs CTEsWindow Functions
05 — Let's Connect

Got a project?
Let's talk.

abhishrut.giradkar13@gmail.com