# Parth Rohilla > Software Engineer II @ Bill.com | CS (Honors) @ USC | AI Agents and LLMs Location: San Francisco Bay Area, United States Profile: https://flows.cv/parthrohilla ⚑⚑ I am a software engineer with 4+ years of experience and an honors graduate from USC. I specialize in architecting and developing robust and scalable applications. My expertise includes designing efficient backend systems, optimizing database performance, and ensuring seamless API integrations. I am passionate about leveraging machine learning to solve complex problems and deliver high-quality solutions. As a dedicated team player, I have successfully contributed to multiple projects, collaborating closely with cross-functional teams to achieve project milestones effectively. πŸ“ŒπŸ“Œ In addition to backend development, I have a keen interest in machine learning and its applications. My curiosity drives me to stay abreast of the latest AI and machine learning developments, actively seeking opportunities to apply these technologies to innovate and improve software solutions. I value collaboration and empathy, which have been instrumental in my role as a software engineer, ensuring alignment between technical implementation and business objectives. βš™οΈβš™οΈ Skills :- πŸ’» Languages and Databases: Python, Java, C/C++, HTML, CSS, JavaScript, MySQL, MongoDB, Vector Databases. πŸ€– Technologies: Microservices, Docker, Kubernetes, SpringBoot, REST/SOAP APIs, Git, Linux, CI/CD, Elasticsearch. 🦾 Libraries/Frameworks: Flask, Numpy, Pandas, Matplotlib, Tensorflow, PyTorch, Scikit-learn, LangChain, React. ☁️ Cloud Platforms: AWS (EC2, S3, Lambda, SageMaker, RDS) and GCP (Compute Engine, BigQuery). βš› AI/ML: LLMs, Statistical Learning, Deep Learning, Computer Vision, NLP, Quantization, Generative AI. ## Work Experience ### Software Engineer II @ BILL Jan 2025 – Present | San Francisco Bay Area 🎯 Built a scalable fanout service serving as a backbone for multi-entity workflows and downstream integrations. 🎯 Developed the Mass Pay feature, enabling customers to pay up to 2,000 bills per batch, orchestrating over $100M in transaction volume (TPV) across multiple child entities within six months. 🎯 Designed a devEx agentic tool to generate API schema and data-processor changes, boosting productivity by 60%. 🎯 Developed and refactored APIs for account-payable operations, optimizing performance and throughput. ### Teaching Assistant @ University of Southern California Jan 2023 – Jan 2024 | Los Angeles, California, United States ⚑⚑ Course Producer for the following courses:- 1. CSCI 572 - Information Retrieval and Web Search Engines with Prof Saty. 2. DSCI 552 - Machine Learning for Data Science with Prof Rajati. βš™οΈβš™οΈ Responsibilities: 🎯 Assisting students by addressing questions and doubts through Piazza. 🎯 Conducting regular office hours. 🎯 Preparing rubrics for assignments and exams. 🎯 Grading exams and assignments. ### Senior Software Engineer @ Amdocs Jan 2021 – Jan 2022 🎯 Developed an order delivery orchestration product capable of handling up to 100,000 orders per hour. 🎯 Led the seamless migration of a legacy system from Informatica ActiveVOS to a RESTful web application deployed in dockerized containers on Kubernetes clusters, achieving a 60% reduction in operational costs. 🎯 Architected 10% reduction in API response time by implementing security using API Gateway. ### Software Engineer @ Amdocs Jan 2019 – Jan 2021 🎯 Reduced response time of async events by 15% by redesigning back-end logic of notification handlers. 🎯 Orchestrated resolution of development and infrastructure failures across production servers, conducting comprehensive failure analyses and executing corrective measures to ensure optimal system performance. 🎯 Created automation scripts to help check environment sanity and expedite regression testing by 25%. 🎯 Developed comprehensive unit tests of software modules to ensure maintainability and reliability. 🎯 Reduced costs by optimizing developer environments, which reduced the team’s cluster requirement by 40%. ### Machine Learning Researcher @ Thapar University Jan 2018 – Jan 2018 🎯 Worked under Dr. P. S. Rana at Thapar Institute of Engineering and Technology on audio genre classification using machine learning techniques. 🎯 Developed a novel methodology for music genre classification in the domain of Music Information Retrieval (MIR). 🎯 Extracted distinctive feature vectors from audio signals and applied various machine learning algorithms to optimize genre classification. 🎯 Introduced an ensemble learning approach to augment classification accuracy, yielding an average precision of 85%. 🎯 Employed K-Fold cross-validation to assess the robustness and consistency of the ensemble model. 🎯 Validated the efficacy of the ensemble method using Topsis analysis, achieving a robust score of 0.97. ### Software Engineer @ Siemens Jan 2017 – Jan 2017 🎯 Learned about the need for automation in the power system industry and how the latter is achieved using PLC(Programmable and Logic Controllers) and SCADA(Supervisory Control and Data Acquisition). ## Education ### Master's degree in Computer Science University of Southern California ### Bachelor of Engineering - BE in Electronics and Computers Thapar Institute of Engineering & Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/parth-rohilla - GitHub: https://github.com/parthrohilla - Portfolio: https://parthrohilla.github.io/ --- Source: https://flows.cv/parthrohilla JSON Resume: https://flows.cv/parthrohilla/resume.json Last updated: 2026-04-11