AI Engineer & ML Researcher
Hey there — I’m Aryan Maheshwari
M.S. Applied Data Science @ USC. Building production-ready AI systems for autonomous mobility and LLM-driven analytics.
M.S. Applied Data Science @ USC. Building production-ready AI systems for autonomous mobility and LLM-driven analytics.
I'm Aryan Maheshwari, an AI Engineer currently pursuing an M.S. in Applied Data Science at the University of Southern California, after completing a B.Tech in Artificial Intelligence and Data Science at K.J. Somaiya Institute of Technology.
My work sits at the intersection of machine learning engineering, data workflows, and applied research. At USC Marshall School of Business, I build LLM-based NLP pipelines over nuclear energy and SMR datasets; at USC AutoDrive Lab, I work on perception, planning, and deep reinforcement learning for autonomous driving. I have also delivered production-focused AI systems at Convexia (YC'25) and Easley Dunn Productions.Inc.
What drives me is converting complex ideas into measurable impact: reducing research-analysis effort with agent-style data pipelines, accelerating model training on CUDA clusters, and building reproducible ML workflows for high-stakes domains.
My technical stack spans Python-first ML engineering with TensorFlow and PyTorch, MLOps and experiment tracking, cloud-native deployment, and modern LLM tooling including LangChain and retrieval pipelines.
I enjoy collaborating across technical and non-technical teams, and I continue to build depth through research publications and certifications in deep learning, GANs, machine learning, and data analytics.
Let's build the future of AI together.
Master of Science in Applied Data Science
Focused on advanced machine learning, statistical modeling, and scalable AI systems for real-world applications.
Bachelor of Technology in Artificial Intelligence and Data Science
Comprehensive undergraduate program covering AI fundamentals, machine learning algorithms, data structures, and blockchain technology. Specialized coursework in deep learning, computer vision, and natural language processing.
Higher Secondary Education
Completed higher secondary education with focus on science and mathematics, building the academic base for engineering studies.
10th Grade, ICSE
Completed secondary education with a strong academic foundation in mathematics, sciences, and languages.
AI-powered educational platform with RAG-based Q&A, quiz/flashcard generation, and real-time chat. Integrates GPT-4, LangChain, Chroma, FastAPI, and Next.js, enabling 10,000+ pages of textbook ingestion with sub-2s query latency and scalable deployment on AWS Fargate.
Developed a scalable multi-level text retrieval framework integrating Gaussian Mixture Models, GPT-4-turbo, BM25, and semantic search (SPIDER), enabling granular content extraction from 300+ page academic textbooks while improving re-ranking precision by 30% with low-latency query execution.
End-to-end histopathology image classification pipeline using MobileNetV2, achieving 92% accuracy on IDC detection. Integrated Grad-CAM for interpretability, deployed DCGAN for synthetic data augmentation, and built interactive Streamlit app for real-time predictions with modular, production-ready architecture.
This publication explores the implementation impact of AI across developing industries, highlighting practical adoption patterns, opportunities, and challenges in real-world systems.
This work examines the Blockchain-Based Election Conducting and Management System (BCECMS) as a framework to improve election integrity, transparency, and process trust through auditable digital workflows.
My research interests span machine learning systems, autonomous mobility, and applied NLP. I am particularly interested in the intersection of reinforcement learning, LLM-driven analysis, and robust real-world deployment.