Summary
Prisha Priyadarshini is a highly accomplished computer science student from Rutgers University with a 4.0 GPA, specializing in AI, machine learning, and full-stack development. She possesses significant research experience in Reinforcement Learning for LLMs and Multimodal Machine Learning, contributing to published work and large-scale experiments with collaborators from institutions like UC Berkeley and Meta. Her technical proficiency spans multiple programming languages, extensive AWS services, and various ML frameworks, backed by relevant certifications. Currently, she serves as an Associate Developer at Insurity and an LLM & RL Research Intern at Algoverse, demonstrating practical application of her advanced technical skills. [S1, S2, S3, S4]
### Study Notes:
**Education**
* Rutgers University: BS Computer Science & Mathematics Minor (4.0/4.0 GPA, expected May 2027). [S4]
* Relevant coursework: AI, NLP, Data Structures, Linear Optimization. [S4]
**Research Experience**
* Current focus: Reinforcement Learning for LLMs (inference-time compute, dynamic chain-of-thought). [S1]
* Multimodal ML Intern (Algoverse): Developed hierarchical scene-captioning pipeline, built/benchmarked baselines. [S1]
* Collaborated with UC Berkeley/Meta, ran large-scale YouCook2 experiments, co-authored NeurIPS Workshop paper. [S1]
**Professional Roles**
* Associate Developer (Insurity): Contributes to SDLC, develops unit tests, supports technical problem-solving. [S3]
* LLM & RL Research Intern (Algoverse): Selected for competitive Fall 2025 cohort. [S3]
**Technical Skills & Certifications**
* Proficient in Python, C/C++, Java, React; PostgreSQL/SQLite. [S4]
* Experienced with PyTorch, XGBoost, Hugging Face, Transformers, FAISS. [S4]
* Extensive AWS services (EC2, SageMaker, Bedrock, Lambda) and related certifications. [S3]
* Certifications include AWS Machine Learning – Specialty and Generative AI. [S3]
**Key Projects**
* PocketRAG: RAG web app for PDF summarization/Q&A (Gemini-2.5-Flash, AWS EC2, Docker). [S2]
* Telematics UBI Prototype: Full-stack insurance app with XGBoost risk model (AWS, FastAPI, React). [S2]