About Me
AI/ML Engineer with hands-on experience building LLM-powered and agentic AI applications, including a production RAG chatbot deployed for a live client and tool-using automation agents built on OpenAI function calling. S…
AI/ML Engineer with hands-on experience building LLM-powered and agentic AI applications, including a production RAG chatbot deployed for a live client and tool-using automation agents built on OpenAI function calling. Skilled across LangChain/LangGraph and vector databases, classical ML pipelines served via FastAPI/Flask, workflow automation with n8n and Docker, and deep learning in PyTorch/TensorFlow, with an end-to-end approach from data preprocessing through deployment and monitoring.
Experience
AI & Automation Engineer
<p>Building a WhatsApp chatbot and CRM system on n8n<br>
Integrating the Meta WhatsApp Business Cloud API with Firebase/Firestore<br>
Self-hosting with Docker Compose on an Oracle Cloud Linux VPS</p>
AI & Data Science Virtual Intern
<p>Remote virtual internship focused on applied AI/data-science task delivery<br>
Submitted GitHub-tracked deliverables per assigned task</p>
AI Engineer Intern
<p>Built a Daily Planner AI Agent using LangGraph, LangChain and Groq (LLaMA 3.3) with 7+ custom agent tools for task generation, scheduling and PDF/CSV export<br>
Deployed the agent via Streamlit<br>
Developed an end-to-end NLP chatbot using spaCy, NLTK and scikit-learn<br>
Achieved 95% intent accuracy with no LLM API cost<br>
Served the chatbot via a Flask REST API<br>
Designed and deployed supervised ML models for house price, weather and customer segmentation use cases</p>
AI/ML Intern
<p>Selected for an AI/ML internship focused on applied machine learning and AI engineering tasks<br>
Contributing to production-oriented deliverables under the company's technical team</p>