MS Data Science · Arizona State University Optimizing policy gradient...
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SHUBBH RAJESH MEWADA

Building intelligent systems: RL trading agents, offline LLM pipelines, vision models, big data ETL. 8 published papers. 105 citations. Obsessed with making AI work in the real world.

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8 Publications
105 Citations
h-index 4
Reinforcement Learning
Computer Vision
LLM Engineering
RAG Pipelines
PySpark 4.0
CUDA · RAPIDS
ONNX Runtime
IEEE Papers
PyTorch
8 Publications
105 Citations
h-index 4
Reinforcement Learning
Computer Vision
LLM Engineering
RAG Pipelines
PySpark 4.0
CUDA · RAPIDS
ONNX Runtime
IEEE Papers
PyTorch
Selected Work

Things I've
Built

End-to-end projects spanning RL, LLMs, big data engineering, and computer vision.

Tech Stack

What I
Work
With

Every tool has been used in production or peer-reviewed research. Built from real projects, not tutorials.

Languages
Python CUDA C++ Cython SQL
ML / DL
PyTorch TensorFlow Stable-Baselines3 Hugging Face OpenAI Gym Scikit-learn YOLOv5 ONNX Runtime
LLM / RAG
Qwen2.5-Coder-14B ChromaDB SentenceTransformers SBERT LM Studio RAG Pipelines
Data + GPU
PySpark 4.0 RAPIDS cuDF CuPy Pandas NumPy Parquet Power BI
Deploy
Next.js Vercel Streamlit OpenCV Git / GitHub Jupyter Matplotlib
Publications

Research
Impact

8 peer-reviewed IEEE conference papers published in 2023, spanning Computer Vision, NLP, Medical AI, Audio ML, and Financial Forecasting.

Computer Vision NLP Medical AI Audio ML Financial Forecasting Transfer Learning
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0 Papers
0 Citations
0 h-index
0 i10-index
Let’s build something real

Let’s
Work
Together