AI/ML Engineer | Building RAG Systems, LLMs & Intelligent Automation
class OmkarChebale:
def __init__(self):
self.location = "Pune, India 🇮🇳"
self.education = "MCA Student | BCA Graduate"
self.currently_learning = ["Agentic AI", "Multi-Agent Systems", "Advanced RAG"]
self.looking_for = "AI/ML Engineer roles where I can build intelligent systems"
def get_current_work(self):
return {
"role": "AI Engineer Intern @ Xclusive Interiors",
"building": [
"Production RAG systems (80% faster query resolution)",
"AI automation workflows (15hrs/week saved)",
"LLM-powered intelligent agents"
],
"impact": "Serving 50+ employees daily"
}
def get_story(self):
return """
From a Tier-3 city with zero tech connections to building production AI systems.
Started as founding engineer at a startup → Built complete B2B platform solo
→ Pivoted to AI/ML → Now shipping RAG systems and LLM applications that
actually solve real problems.
I don't just train models. I build products.
"""🔥 Currently Working On:
- 🧠 Production RAG system serving 50+ users daily (Pinecone + Llama 3.3)
- 🤖 Autonomous AI agents with tool orchestration
- 📊 End-to-end ML pipelines from data to deployment
- 🚀 AI automation workflows with n8n and Make
🎯 Recent Projects:
- SOP Knowledge Assistant: RAG system reducing employee queries by 80%
- AI Automation Workflows: Saved 15 hours/week in content creation
- B2B E-commerce Platform: Built from Day 1 as founding engineer
- Autonomous AI Agent: Live on Hugging Face with tool use capabilities
🤖 AI/ML Engineering
├── Machine Learning & Deep Learning (TensorFlow, Keras, PyTorch)
├── Natural Language Processing (NLP)
├── Large Language Models (GPT-4, Claude, Llama, Gemini)
├── RAG Systems & Vector Databases (Pinecone, Chroma, pgvector)
├── Prompt Engineering & Fine-tuning
├── AI Agents & Multi-Agent Systems
└── Model Deployment & MLOps
🚀 Full-Stack Development
├── Frontend: React, Next.js, TypeScript, React Native
├── Backend: Node.js, Express, Python, FastAPI
├── Databases: MongoDB, PostgreSQL, SQL
├── APIs: REST, GraphQL, WebSockets
└── Cloud: AWS, Docker, CI/CD
📊 Data Science
├── Pandas, NumPy, Scikit-learn
├── Data Visualization (Matplotlib, Seaborn)
├── Feature Engineering & EDA
└── Statistical Analysis
⚙️ Automation & Tools
├── Workflow Automation (n8n, Make, Zapier)
├── Git & Version Control
└── Jupyter, VSCode, Gradio
➡️ READ HERE
I'm actively looking for AI/ML Engineer roles where I can:
- ✅ Build intelligent systems that solve real problems
- ✅ Own outcomes, not just outputs
- ✅ Work with cutting-edge AI/ML technologies
- ✅ Ship products fast and iterate
Open to: Full-time roles, contract projects, interesting collaborations
