- 🎓 B.Tech @ IIIT Kurnool
- 🧠 Passionate about applying AI in Finance, Regulation & Real-world Applications
- 🌱 Currently Learning: MLOps, GenAI, Data Engineering (Kafka, Spark, Airflow), LangChain, CI/CD
- 🚀 Building: Production-grade AI/ML + GenAI Systems
- ☁️ Working with: AWS (EC2, S3), GCP (Vertex AI, GCS), GitHub Actions, DagsHub
- 📫 Reach me: LinkedIn •
divyanshrawatofficial@gmail.com
- 🧩 GenAI + NLP: BERT, RoBERTa, GPT, RAG, Transformers, Prompt Engineering
- 🧠 Deep Learning: CNN, RNN, LSTM, Attention, Sequence Models
- 🔍 AI in Finance: Risk prediction, regulatory NLP, explainability
- 🛠️ MLOps: CI/CD, MLflow, FastAPI, Docker, Monitoring, Versioning
- 🏗️ Data Engineering: ETL pipelines, Real-time Streaming (Kafka, Spark, Airflow)
- 🔄 Reinforcement Learning & Decision AI
- 📊 Research, Technical Writing, Building Scalable AI Systems
- ✅ ML Engineer / Deep Learning Engineer
- ✅ NLP / GenAI Engineer
- ✅ MLOps Engineer / ML System Engineer
- ✅ AI Research Intern / Applied AI Research
- ✅ Data Engineer (ETL, Real-time Systems)
- ✅ AI in Finance / RegTech Research
💡 I’m open to collaborating on projects in any domain – AI, ML, GenAI, MLOps, CV, NLP, Research, Data, or Cloud.
| Project Name | Description | Tech Used |
|---|---|---|
ML Network Security System |
Scalable threat detection system w/ real-time ETL + MLOps | Flask, MongoDB, Docker, MLflow, DagsHub, AWS |
Texti – AI Text Enhancer |
Summarization & rewriting using BART/T5 | FastAPI, Hugging Face, Docker, Streamlit |
AIML-NLP-GenAI Notebooks |
All-in-one notebook repo for modern NLP & Transformers | PyTorch, BERT, SBERT, RAG, scikit-learn |
ML-in-Production (WIP) |
End-to-End ML system with CI/CD, Monitoring, Versioning | MLflow, Docker, FastAPI, GitHub Actions |
DSA-CP Practice |
Competitive Programming + DSA solutions | C++, STL |
- 💌 Email:
divyanshrawatofficial@gmail.com - 💼 LinkedIn: linkedin.com/in/divyansh-rawat-aba930313
- 🚀 Actively open to internships, collaborations, and impactful research projects