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AI Automation Engineer with 1+ years in ETL pipelines & RAG workflows
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Python Developer & AI/Data Engineer with 1+ year of experience building scalable ETL pipelines, LangChain/LangGraph RAG workflows, and NLP-driven data solutions. Proficient in HuggingFace transformer fine-tuning, n8n multi-agent automation, and AWS cloud infrastructure — delivering end-to-end intelligent automation across enterprise analytics and AI application domains.
Ganpat University, Mehsana
B.Tech · Computer Science & Engineering (Big Data & Analytics)
August 1, 2021 – June 30, 2025
Augmented System LLP
Junior Data Engineer
May 1, 2025 – Present
Ahmedabad, Gujarat, India
Augmented System LLP
Data Engineer Intern
February 1, 2025 – May 1, 2025
Ahmedabad, Gujarat, India
RAG-based Q&A Chatbot
May 1, 2025 – June 1, 2026
Built a RAG pipeline using LangChain and FAISS to enable question-answering over a collection of research papers and notes; used HuggingFace sentence-transformer embeddings with chunking and overlap settings, and experimented with prompt templates to improve answer quality. Added LangGraph to manage a simple multi-step agent flow with conversation memory, allowing follow-up questions to stay in context; explored tool routing so the agent could decide between retrieval and direct response based on the query type.
Agentic AI School Communication & Automation Platform
May 1, 2025 – June 1, 2026
Built a Streamlit attendance management app connected to a MySQL database; integrated an n8n workflow with an LLM node that generates personalized WhatsApp messages and sends them to parent contacts via Twilio whenever attendance is marked. Set up conditional branching in n8n so absent students get follow-up reminders and present students receive a short acknowledgment message; also automated PTM invitation messages to parents, reducing manual messaging effort significantly.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive and innovative approach to problem-solving, particularly in applying AI for automation in diverse scenarios (Q&A chatbot, school communication, property extraction). This aligns well with a role focused on AI automation. The breadth of technologies used (LangChain, n8n, AWS, Python, SQL, MongoDB) indicates adaptability and a willingness to learn and apply new tools. The personal projects show initiative beyond academic or professional requirements.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data ingestion to AI agent deployment. The experience with n8n and multi-step agent flows suggests a problem-solving approach focused on automation and efficiency. The detailed project descriptions also imply good communication skills in articulating technical solutions.