class MLEngineer:
def __init__(self):
self.name = "Titikshit Sumbria"
self.role = "ML Engineer & AI Systems Architect"
self.location = "Indore, India 🇮🇳"
self.education = "B.E. Computer Science @ SGSITS"
self.languages = ["Python", "C++", "SQL"]
def current_work(self):
return {
"research": "Fake News Detection with BERT & LSTM (92% accuracy)",
"building": ["Agentic AI Systems", "Production RAG Pipelines"],
"learning": "DeepLearning.AI - Agentic AI (Andrew Ng)",
"exploring": "Multi-Agent Systems & LLM Orchestration"
}
def expertise(self):
return {
"ML_Engineering": ["Model Training", "Feature Engineering", "Deployment"],
"Deep_Learning": ["Transformers", "BERT", "LSTM", "NLP"],
"LLM_Systems": ["RAG", "LangChain", "Vector DBs", "AI Agents"],
"MLOps": ["FastAPI", "Docker", "Microservices", "CI/CD"]
}
def achievements(self):
return [
"🏆 25K+ articles trained, 92% fake news detection accuracy",
"⚡ 500+ daily API requests, <200ms response time",
"📊 70% reduction in manual analysis time",
"🎯 95% answer accuracy in production RAG system"
]
OpenAI |
Claude AI |
Hugging Face |
LangChain |
Streamlit |
|
Production MLOps Pipeline Stack: FastAPI, Docker, Scikit-learn, Streamlit
Impact:
- 84% Accuracy on 10K+ records
- 500+ Daily API requests
- <200ms Response time
- 70% Time reduction
|
Research: BERT + LSTM Stack: BERT, LSTM, TensorFlow, NLP
Impact:
- 92% Detection accuracy
- 25K+ Articles trained
- 500+ Linguistic patterns
- 3 Model architectures
|
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Intelligent Document Query Stack: LangChain, FAISS, OpenAI, Streamlit
Impact:
- 95% Answer accuracy
- 100+ PDFs processed
- <2s Query response
- 60% Productivity boost
|
Agentic AI Systems Focus: Multi-Agent Orchestration
Technologies:
- CrewAI Framework
- LangChain Agents
- Vector Databases
- Tool Integration
|
|
|
Festival Management 500+ Attendees |
Volleyball 12 Team Members |
Smart India Hackathon 2023 Edition |
Machine Learning • Agentic AI • Production Systems • RAG Architectures • MLOps
Connect |
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Message |
GitHub Follow |
Building intelligent systems that solve real-world problems
Let's create something amazing together!