Building impactful, scalable AI solutions with expertise in machine learning, deep learning, and cloud infrastructure.
Graduate Computer Science student with ~1.5 years of hands-on experience through research, internships, and startup work in machine learning, backend development, and cloud infrastructure.
Built end-to-end ML pipelines at ISRO, deployed real-time systems using AWS and Azure, and developed LLM-based applications for document search and forecasting. Skilled in Python, C++, deep learning frameworks, and MLOps tools.
Eager to contribute to impactful, scalable AI solutions that solve real-world problems and drive innovation.
MS in Computer Science
ISRO, Raven Technolabs, NanoTech Technologies
ML/AI Applications
Primary language for ML/AI development
Backend development & enterprise applications
Performance-critical applications & algorithms
Database querying & management
Web development & interactive applications
Type-safe JavaScript development
Deep learning research & development
Production ML systems & deployment
Computer vision applications
NLP models & applications
Large language model applications
Computer vision & image processing
Sequence modeling & time series
Large language model development
Agent-based learning & optimization
GPU acceleration for deep learning
High-performance model serving
High-throughput LLM inference
Model interoperability & exchange
High-performance deep learning inference
PyTorch model optimization
Cloud infrastructure & services
Microsoft cloud platform
Containerization & deployment
Container orchestration
Infrastructure as code
Continuous integration & deployment
ML lifecycle management
Distributed event streaming
Distributed data processing
NoSQL database
In-memory data store
Relational database
Advanced relational database
Software design & architecture
Reusable software solutions
API design & implementation
Concurrent programming
Scrum, Kanban, & project management
Dec 2022 - Apr 2023
May 2022 - July 2022
Mar 2019 - Nov 2021
June 2025 - Present
Explore my latest work in AI/ML and software development
Built and trained LSTM/GRU models on OHLCV data; achieved ~80% directional accuracy across selected stocks. Developed a Streamlit-based dashboard for real-time trend prediction; reduced update latency by ~25%.
Developed a context-aware document query system using LLaMA 2, LangChain, and FAISS. Integrated OpenAI embeddings to improve retrieval; increased relevance of top results by ~30%. Reduced average query latency through prompt and vector optimization.
Designed RNN models for rainfall and energy consumption forecasting using historical data. Streamlined data pipelines with TensorFlow, reducing training time by ~20%. Validated performance against ARIMA models, achieving ~15–20% higher precision.
Building a custom PPO-based framework to enhance document retrieval in RAG systems. Evaluating retrieval relevance using BLEU and Exact Match on SQuAD/NQ datasets. Implementing a novel reward function that balances relevance and diversity.
Wrote a full 3D game engine in C++ with OpenGL/GLUT, featuring skybox rendering, parallax environments, and multi-level progression. Implemented drone pathing and probabilistic duck spawning with integrated collision detection. Optimized graphics/audio subsystems (SOIL, irrKlang) to sustain ~60 FPS across complex scenes.
Jan 2024 - Present | GPA: 3.9/4.0
Relevant Coursework: Advanced Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Distributed Systems
July 2019 - Apr 2023 | GPA: 3.82/4.0
Relevant Coursework: Data Structures and Algorithms, Operating Systems, Database Management Systems, Computer Networks, Artificial Intelligence, Machine Learning
Let's discuss how we can work together
aryanpatodiya018@gmail.com
+1 (925)-918-1058
Fresno, CA