# Samarth Saxena > Data Scientist at Cloud9 | USC Alum Location: Los Angeles, California, United States Profile: https://flows.cv/samarthsaxena I have always believed there is a massive gap between a model that lives in a Jupyter Notebook and one that survives in production. My entire career has been an obsession with bridging that gap. Currently, I operate as a full-stack AI team of one at Cloud9 Esports. This unique constraint became my greatest teacher. I saw a creative team overwhelmed with manual work, so I chose to take action. I architected an autonomous Generative AI ecosystem to handle the heavy lifting. Now the system handles scripting, dubbing, and clipping in over 33 languages while the creative team focuses on strategy. I also built a semantic search engine for 80TB of unstructured media because I realized that having data is useless if you cannot find it. For me, it is not just about writing code. It is about building the invisible engines that allow a business to run at scale. But this bias for action is grounded in deep academic rigor. During my Master’s at USC and my research time at USC ISI and NTU Singapore, I dove into the math behind the magic. Whether it was architecting early RAG systems for knowledge delivery or analyzing patterns of mental well-being on social media using Sentic Computing, I learned that understanding the theory is key to effectively breaking the rules in practice. My journey has always been about solving messy real-world problems. At KoiReader, I used NLP to automate data extraction from chaotic logistics documents, and at Piltover, I worked on interpreting EMG data for 3D-printed prosthetics. From supply chains to healthcare to competitive esports, the domain changes, but the mission remains the same. I take complex problems and build clean automated solutions. Ultimately, I believe complexity is often just a lack of initiative. I pride myself on being the person who unblocks the team by building the solution from scratch. I am a builder at heart, driven by curiosity and a relentless desire to make things work better. ## Work Experience ### Data Scientist @ Cloud9 Esports, Inc. Jan 2025 – Present | Santa Monica, CA ### AI Intern @ Cloud9 Esports, Inc. Jan 2024 – Jan 2024 | Santa Monica, California, United States ### Graduate Teaching Assistant @ USC Viterbi School of Engineering Jan 2024 – Jan 2024 | Los Angeles, California, United States DSCI 351 - Introduction to Foundations of Data Management DSCI 551 - Foundations of Data Management ### Graduate Research Assistant @ USC Information Sciences Institute Jan 2023 – Jan 2024 | Los Angeles, California, United States • Led efforts to develop end-to-end solutions for knowledge delivery from background corpus, integrating retrieval and generation techniques using Linux, Llama2, GPT, LangChain and Mistral. • Improved raw search and incorporated user context, enhancing search relevance, pinpointing results akin to QA surpassing traditional passage retrieval using Large Language Models (LLM) and Retrieval Augmented Generation (RAG). • Spearheaded research on state-of-the-art retrieval-augmented text generation & dense passage retrieval techniques. ### Customer Service Representative @ University of Southern California Jan 2023 – Jan 2023 | Los Angeles, California, United States ### Research Intern @ Nanyang Technological University Singapore Jan 2022 – Jan 2022 | Singapore • Researched Sentic Computing Projects by collecting and processing Twitter data using Web Scraping libraries in Python. • Employed advanced NLP techniques to clean, transform, process and analyze the data. • Utilized a range of SenticNet APIs to enhance analysis, and assess patterns linked to a person's mental well-being. • Built a dashboard to visualize trends and changes in patterns in a person’s well-being through their online footprint. ### NLP Intern @ KoiReader - Unlock Smart Operations Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India • Conducted comprehensive research on state-of-the-art technologies in NER and Coreference Resolution implementing BERT models. • Leveraged Spacy, OCR, StanfordNLP and AllenNLP for carrying out Coreference Resolution on freight forwarding documents. • Achieved a 100% reduction in manual efforts for extracting information from billing and logistic forms in Supply Chain industry ### Data Science Intern @ The Sparks Foundation Jan 2020 – Jan 2020 | India • Mastered various concepts of Data Science, including Regression, Keras, Tensorflow, XGBoost and conducted exhaustive Exploratory Data Analysis (EDA) on industry-level tabular data by handling prevalent problems. ### Machine Learning Intern @ Piltover Technologies Jan 2019 – Jan 2020 | Jaipur, Rajasthan, India • Directed research on state-of-the-art technologies for EMG data processing. • Developed a CNN model to process signals, reducing manual efforts in extracting data from subjects using Myo sensors by 100%. • Spearheaded utilization of deep learning methods in PyTorch by creating robust pipelines to handle and transform EMG data. • Gained extensive knowledge in developing models to assess and analyze EMG data to replicate gestures of a human arm and integrate them for 3D printed prosthetic limbs. ## Education ### Master of Science - MS in Computer Science University of Southern California ### BTech - Bachelor of Technology in Computer Science Manipal University Jaipur ## Contact & Social - LinkedIn: https://linkedin.com/in/samarth-saxena- - Portfolio: https://samsaxena.vercel.app/ - GitHub: https://github.com/samarth1337 - Portfolio: https://samsaxena.vercel.app --- Source: https://flows.cv/samarthsaxena JSON Resume: https://flows.cv/samarthsaxena/resume.json Last updated: 2026-04-18