user:
name: "Divyansh Rawat"
role: "AI / ML Engineer"
focus: "ML System Engineering"
location: "India 🇮🇳"
education: "B.Tech (AI/ML Track)"
domains:
- Machine Learning
- Deep Learning
- NLP & GenAI
- Data Engineering
- MLOps & Cloud
status: "Building end-to-end ML systems"
mission: "Designing scalable, production-grade AI pipelines"LinkedIn
GitHub
LeetCode
Hugging Face
- Python
- C++
- Go
- SQL
- Scikit-Learn
- PyTorch
- TensorFlow
- XGBoost
- Hugging Face
- Transformers
- LangChain
- RAG Systems
- AI Agents
- Spark
- Airflow
- Kafka
- Docker
- FastAPI
- MLflow
- AWS / Cloud
- Resume parsing & scoring
- Application tracking system
- Planned: Agent-based auto-apply
- MLOps-ready architecture
- ETL → Training → Tracking → Deployment
- MLflow + Docker + Cloud
- TF-IDF → Word2Vec → BERT → SBERT
- Production RAG pipelines
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+ ML System Engineering
+ RAG & Agentic AI
+ Cloud & MLOps
+ Internship Preparation (Q4 2025)- GitHub
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