# Sumit Kothari > USC MSCS ’25 | AI Engineer @ Sumeru Inc | Generative AI & Full-Stack Development Location: Los Angeles, California, United States Profile: https://flows.cv/sumitkothari AI Engineer at Sumeru Inc, working on applied machine learning and LLM-powered systems to solve real-world problems. Experienced in building scalable AI solutions and collaborating across teams to deliver reliable, production-ready software. Strong background in Python, machine learning, NLP, and system design, with a focus on translating complex ideas into practical, high-impact solutions. Motivated by mission-driven work, ownership, and continuous learning. ## Work Experience ### AI Engineer @ Sumeru Inc Jan 2025 – Present | Los Angeles, California, United States Developed and deployed enterprise-grade Generative AI solutions for clients across multiple industries, delivering real-world business value through applied AI. Built end-to-end AI applications enabling document intelligence and knowledge discovery, supporting faster and more informed decision-making. Collaborated with cross-functional and client-facing teams to deliver scalable, production-ready solutions aligned with organizational goals. ### Software Engineer Intern @ Thrizer Jan 2025 – Jan 2025 • Collaborated with a team of 5 developers to build and maintain Admin, Client, and Clinician portals, working on both frontend (Angular.js) and backend (Node.js, LoopBack) while following Agile methodologies on Azure DevOps. • Developed and enhanced RESTful APIs using Node.js and LoopBack, integrating with MongoDB to meet client requirements. • Managed and resolved user stories on Azure Boards, ensuring timely completion of sprint deliverables while using Git for version control. ### Software Developer @ Alzheimer's Therapeutic Research Institute (ATRI) Jan 2024 – Jan 2025 | Los Angeles, California, United States • Developed comprehensive full-stack portals for USC - Alzheimer’s Therapeutic Research Institute (ATRI), utilizing ReactJS for the frontend and Django for the backend with PostgreSQL, ensuring responsive design and scalable architecture. • Implemented Test Driven Development (TDD) and Agile methodologies, employing Cypress for frontend testing, Selenium for backend testing, and Jira for task management to achieve high reliability and performance. • Created a CI/CD pipeline using GitHub Actions to automate frontend, backend, and functional tests before deployment, enhancing the overall development workflow and deployment efficiency. ### AI Engineer Intern @ FPT Americas Jan 2024 – Jan 2024 • Developed a LLM Text2SQL model to generate and execute SQL queries on custom databases using the GPT-3.5-turbo model and Azure OpenAI embeddings, incorporating client-specific information and business rules for improved quality • Led backend development with tools such as FastAPI, Pydantic, and SQLAlchemy, and managed the team codebase using Azure DevOps for efficient collaboration and version control • Engineered a CI/CD pipeline for seamless deployment of the bot on Azure Cloud, integrating it with MS Teams, implementing Single Sign-On, and enhancing the chat UI with TypeScript. ### Research Assistant @ Fr. Conceicao Rodrigues College of Engineering Jan 2022 – Jan 2023 | Mumbai, Maharashtra, India • Created a federated learning model using PySyft and PyTorch to improve the privacy and security of the model. This model was able to detect anomalies in Bitcoin transactions by leveraging the power of federated learning. • Employed Truffle to develop a custom dataset with transactions through Ethereum and track all attackers. This involved working with blockchain technology to collect and store transaction data for analysis. • Utilized Tensorflow to train several Deep learning models such as SVM, Autoencoder, variational autoencoder, and deep belief network for anomaly detection in Bitcoin transactions. These models were tested and optimized to improve the accuracy of anomaly detection. ### Machine Learning Intern @ VectorAB Labs Private Ltd Jan 2021 – Jan 2021 •Devised a system that leveraged computer vision techniques to detect license plates and capture the relevant information. •Worked with OpenCV to implement advanced computer vision techniques such as reducing noise in images, edge detection, and masking to improve the accuracy of license plate detection. •Utilized state-of-the-art machine learning techniques such as Yolo and DeepSORT to detect and track vehicles in real-time. I also utilized EasyOCR to read the numbers on the license plate. This helped automate the process of capturing license plate information and improved the overall efficiency of the parking lot management system. ### NLP Intern @ Ignitus Jan 2021 – Jan 2021 •Collected and analyzed Reddit posts from the 'depression' and 'SuicideWatch' subreddits using the Pushshift.io API Wrapper (PSAW). This involved scraping around 30,000 posts, cleansing and classifying them, and applying several exploratory data analysis (EDA) techniques such as Tokenization, Lemmatization, POS Tagging, and Vectorization to extract key insights. •Compared and trained multiple machine learning models including SVM, Logistic Regression, Naïve Bayes, and ANN to predict whether a person is experiencing depression. This involved selecting and tuning the best model based on the performance metrics such as accuracy, precision, recall, and F1-score. ## Education ### Master of Science - MS in Computer Science University of Southern California ### Bachelor of Engineering - BE in Computer Engineering Fr. Conceicao Rodrigues College of Engineering ## Contact & Social - LinkedIn: https://linkedin.com/in/sumit65kothari - Portfolio: https://sumitkothari.netlify.app/ - GitHub: https://github.com/Sumit68 - Portfolio: https://sumitkothari.netlify.app --- Source: https://flows.cv/sumitkothari JSON Resume: https://flows.cv/sumitkothari/resume.json Last updated: 2026-04-16