Machine Learning Los Angeles

RUTIK YERUNKAR

Los Angeles, California 213-***-**** ********@***.*** www.linkedin.com/in/rutikyerunkar EDUCATION

University of Southern California Los Angeles, California Master of Science, Computer Science - Artificial Intelligence January 2024-December 2025

• Relevant Coursework: Foundations of Artificial Intelligence, Machine Learning, Applied Natural Language Processing, Analysis of Algorithms, Deep Learning and its Applications, Information Retrieval and Web Search Engines Fr. Conceicao Rodrigues College of Engineering Mumbai, Maharashtra Bachelor of Engineering, Electronics and Computer Science August 2019-May 2023

• GPA: 3.65

• Relevant Coursework: Data Structures and Algorithm, Database Management System, Data Warehousing and Mining, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Web Technologies, Software Engineering, Software Testing & Quality Assurance, Project Management WORK EXPERIENCE

IBM SkillsBuild

AI & ML Intern September 2022-November 2022

• Constructed a real-time sign language recognition system for speech-impaired individuals, increasing communication efficiency by 30%

• Built deep learning models to capture and translate hand expressions into text, achieving an accuracy rate of 95% FeyNN Labs

Machine Learning Intern, Researcher & Project Team Lead August 2022-October 2022

• Led a multidisciplinary team in AI prototype development to boost startup sales, fostering a collaborative environment resulted in a 15% increase in monthly revenue

• Conducted large-scale predictive market segmentation leveraging machine learning and data analysis, revamping customer targeting accuracy by 25%

• Constructed business and financial models for AI products/services leveraging machine learning techniques, contributing to a 10% reduction in operational costs

• Engaged in research and development with team members to create innovative solutions tailored to market needs, leading to the development of 2 new AI-driven products

Cloud Counselage Pvt. Ltd

Technical Intern & Project Team Lead April 2021-September 2021

• Directed and revamped the internship program, delivering advanced training to 50+ interns, resulting in a 20% improvement in project delivery times

• Designed and implemented a live project establishing a new Proof of Concept, optimizing organizational processes and increased operational efficiency by 15%

ACADEMIC PROJECTS

RLHF-based Optimization of Recommendations Using LLMs

• Tech Stack: Python, PyTorch, Hugging Face Transformers, LoRA, Pandas, NumPy, Scikit-learn, CUDA for GPU acceleration

• Engineered a novel recommendation system incorporating Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO) with LLMs to deliver tailored movie suggestions on the MovieLens dataset

• Implemented Supervised Fine-Tuning (SFT) with LoRA, enabling the LLM to generate personalized recommendations, achieving 170%-200% improvement in NDCG@K, Precision@K and Recall@K over baseline models

• Boosted ranking performance through Preference Tuning, gaining up to 8% improvement in NDCG@K over SFT, by leveraging pairwise preference data

Decentralized E-Commerce Application on Ethereum Blockchain

• Tech Stack: Ether.js, Next.js, Tailwind CSS, Solidity, Moralis, MetaMask, Netlify

• Constructed a decentralized E-commerce web application on the Ethereum blockchain, improving user data security and ownership verification. Integrating MetaMask enabled Web 3.0 authentication for secure interactions and transactions

• Implemented smart contracts to verify ownership, issue transaction receipts and offer detailed purchase histories with warranty info, thereby boosting transparency and trust Database Insights Bot

• Tech Stack: Google Palm, LangChain, Hugging Face, Streamlit, Chromadb, MySQL, Few-Shot Learning

• Constructed an LLM-based Q&A system to increase natural language interaction with a MySQL database, converting user questions into SQL queries

• Implemented few-shot learning for improved query generation, resulting in a 30% increase in accuracy for query responses

• Created a user-friendly interface with Streamlit for easy interaction, boosting user experience and accessibility TECHNICAL SKILLS

• Machine Learning & Data Analysis: Python, TensorFlow, Keras, Pytorch, Transformers, Sklearn, Pandas, Numpy, Matplotlib, OpenCV

• Web Development: HTML, Tailwind CSS, React, JavaScript, Solidity

• Databases: PostgreSQL, MySQL, MongoDB, Chromadb, ObjectBox

• Big Data & Cloud: AWS, Hadoop, Tableau, Google Cloud Platform

• APIs and Libraries: REST APIs, LangChain, FastAPI, OpenAI, Meta Ollama, Groq, Hugging Face, FAISS, LSTM, SpaCy

• DevOps Tools: Linux, Kubernetes, Docker, Git

MEMBERSHIPS

Graduate Researchers in Data Science (GRIDS) - USC Los Angeles, California E-Board Member – Administration & Sponsorship Team January 2025-Present

• Managed sponsorship outreach and administrative operations, fostering partnerships with industry leaders to support GRIDS initiatives

• Organized networking events, workshops and speaker sessions, facilitating engagement between students, faculty and professionals in data science and AI

• Collaborated with team members to streamline administrative processes, improving the efficiency of club operations and event planning

Viterbi Graduate Orientation Leader - USC Los Angeles, California August 2024-Present

• Led orientation sessions for incoming graduate students, providing guidance on academic resources, campus life and social integration

• Collaborated with faculty and staff to organize events, fostered community building and networking among students Viterbi Graduate Mentorship Program - USC Los Angeles, California Mentor August 2024-Present

• Mentored new graduate students, facilitating academic and social integration into university life Association of Computing Machinery (ACM) - CRCE Mumbai, Maharashtra Student Representative August 2020-August 2021

• Co-organized national level hackathons and tech-talks, expanding student participation by 25%

• Implemented digital marketing campaigns across social media platforms, contributing to a record number of event registrations

• Mentored first-year students in technology projects to enhance practical skills and strengthen engagement with the ACM

• Initiated a series of coding workshops for non-members, broadening the club’s impact on campus

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