Jiya Rathi
Research Assistant @ San Diego State University
About
I’m a Master’s student in Computer Engineering at San Diego State University (graduating 2026) with experience in AI/ML, GPU acceleration, and scientific computing. My work bridges research and engineering—taking complex models and making them faster, scalable, and usable. In research, I’ve optimized large-scale scientific simulations with CUDA streams and OpenMP, improving GPU utilization from 48% to 83% and reducing runtimes by over 3x . I’ve also applied deep learning to medical imaging, crowd flow forecasting, and conversational AI, including fine-tuning LLaMA-2 with LoRA and curriculum learning for mental health counseling. On the applied side, I’ve built a WhatsApp financial assistant for SMBs, integrating Watsonx Granite, Prophet forecasting, and automated invoice management into a production-ready system. I also experiment openly on GitHub, where I share work on dataset drift detection, AI for unmanned systems, and performance-optimized C++ workflows. 👉 My goal is to leverage this blend of research depth and engineering execution to deliver impactful solutions at scale—and I’m eager to bring that to forward-thinking teams in AI, HPC, and applied machine learning.
United States
San Diego
Computer Software
Scientific Computing, LLaMA, Parameter-Efficient Fine-Tuning (LoRA), Hugging Face Transformers, BitsAndBytes (Quantization), Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Prophet, Vector Databases, ARIMA, MATLAB, CVAT, Long Short-term Memory (LSTM), Bash, MPI, OpenMP, Linux, High Performance Computing (HPC), Plasma Physics, OpenCV
Experience
Research Assistant
San Diego State University
San Diego, California, United States
Audited and cataloged 105 MATLAB functions, mapping algorithm ownership and call dependencies to an existing C++ codebase to identify coverage gaps and define a structured migration plan. Developing a C++ core and public API by rewriting MATLAB algorithms, validating numerical equivalence against MATLAB reference outputs, and removing MATLAB-specific assumptions.
Graduate Teaching Associate (COMPE 160: Introduction to Computer Programming)
San Diego State University
United States
– Delivered Git and GDB debugging demos to 120+ students, improving midterm project success rate from 55% to 85%. – Co-designed 10+ C/C++ labs on binary representation, memory layout, and system-level programming. – Reviewed 250+ student submissions using cppcheck and manual analysis, raising assignment accuracy by 30%.
Machine Learning Research Intern
Shri Ramdeobaba College of Engineering and Management
Nagpur, Maharashtra, India
– Curated 300 abdominal CT scans across 16 organs; stored DICOMs in AWS S3 and indexed metadata in MongoDB. – Implemented nnUNet training pipeline in PyTorch, achieving 0.81 mean Dice coefficient; identified segmentation inconsistencies for radiology student revision. – Optimized data preprocessing and augmentation pipelines using multiprocessing, reducing model training time by 25%.
Machine Learning Intern
Bio Spectronics
– Engineered vision pipeline in Python/OpenCV, extracting RGB histograms from 300+ blood-sample images. – Benchmarked SVR against ANN for uric acid prediction; SVR achieved 15% lower MAE (0.12 → 0.10 mg/dL). – Deployed ReactJS dashboard on Azure App Service for prediction visualization and anomaly detection.
Education
San Diego State University
Computer Engineering
Relevant Coursework: -Machine Learning for Engineers (COMPE 510) -Accelerated Computing (COMPE 596) -AI for Unmanned Systems (COMPE 696) -Computer & Data Networks (COMPE 560) -Database and Web Programming (COMPE 561) -Plasma Fusion (COMP 600) -Computational Database Fundamentals (COMP 607) -Data Mining (CS 653)
Shri Ramdeobaba College of Engineering and Management
Computer Science (Artificial Intelligence and Machine Learning)
Relevant Coursework: AI/ML Focus: -Artificial Intelligence -Machine Learning -Deep Learning -Computer Vision -Natural Language Processing -Database Warehousing and Mining -Quantum Computing Core Computer Science: -Data Structures & Algorithms -Operating Systems -Software Engineering -Database Management Systems -Statistical Computing
Jiya Rathi's Contact Information
Phone
Find the Right Leads
Find Verified Contact Data
What LeadContact does well
Find verified emails, phone numbers, and decision-makers with 98% accuracy.
Find Leads
Find the right people by company, role, industry, location, and more.
925M+ professional profiles
Find Emails
Access verified email addresses for your target contacts.
657M+ emails
Find Phone Numbers
Get cross-validated phone data from multiple top sources.
239M+ phone numbers
More Accurate. Lower Cost.
Find contact data in 1 tool with 98% accuracy
LeadContact integrates leading enrichment tools to deliver more accurate contact data—without paying for each one.
Great conversations start with the right contact.
It’s time to find yours.