# Divya Nandlal Sahetya > Software Engineer II @ Aledade | Scalable Backend & AI/ML Systems | LLMs, MLOps, AI Agents | Python, AWS Location: San Jose, California, United States Profile: https://flows.cv/divyanandlalsahetya I’m a Software Engineer with 5+ years of experience specializing in backend engineering, data platforms, and ML systems, building scalable, data-intensive applications that deliver measurable business impact. I design and develop high-performance backend services and APIs using Python, and build real-time and batch data pipelines using AWS, Snowflake, PostgreSQL, Kafka, and Airflow. My work includes designing event-driven architectures, optimizing ETL workflows, and enabling low-latency data processing for large-scale systems. I specialize in building end-to-end data and ML systems, including data ingestion, pipeline orchestration, and infrastructure that supports model workflows and real-time applications. I also use AI agents to automate engineering workflows, streamline pipelines, and improve developer productivity. I hold a Master’s in Electrical and Computer Engineering from USC, specializing in Machine Learning and Data Science, with experience in MLOps and applied ML systems. ## Work Experience ### Software Engineer II @ Aledade, Inc. Jan 2023 – Present | San Jose, California, United States At Aledade, Inc., I contributed to building robust backend systems and data architectures that significantly improved operational efficiency. My role involved designing event-driven solutions and APIs for real-time data processing, while also leading automation initiatives to enhance team workflows. The innovative technologies I employed included Python, AWS, and Kafka, which collectively drove substantial performance improvements. ### Machine Learning Researcher @ Semio Jan 2023 – Jan 2023 | Los Angeles, California, United States ### Graduate Research Assistant, Machine Learning for Medical Data, USC @ University of Southern California Jan 2023 – Jan 2023 | Los Angeles, California, United States Working on the project 'Semantic Segmentation using Meta-Learning for Medical Images' under Dr. Cauligi Raghavendra and Dr. Ajitesh Srivastava at USC. • Developed and implemented a novel meta-learning framework called Amphibian as part of the Medical Decathlon Challenge. • Focused on improving medical image segmentation for computer-aided diagnosis systems. Successfully addressed the limitations of state-of-the-art (SOTA) models when dealing with unseen tasks and limited annotated data. • Leveraged dynamically penalized weighted task subsampling to reduce sampling bias across organs during the meta-training process. • Achieved remarkable segmentation scores across various unseen organs such as the spleen, prostate, and heart. • Demonstrated the effectiveness of the Amphibian framework in the context of the Medical Decathlon Challenge. ### ITS Student Engineer @ University of Southern California Jan 2022 – Jan 2023 | Los Angeles, California, United States Maintaining the USC room finder website with the latest-in-class photographs, 360-degree view, and class amenities. Part of the team responsible for modernizing technology and improving the learning environment for the central IT services that support the academic institutions, hospitals, research facilities, and administrative divisions of USC. ### Graduate Research Assistant, Biomedical Imaging Group, USC @ University of Southern California Jan 2022 – Jan 2022 | United States • Developed a deep learning approach to denoise human and mouse brain MRI images along with the team using auto-encoder architecture. • Obtained a cleaner image compared to traditional image processing approach employed in the BrainSuite software. ### Software Developer @ Siemens Healthineers Jan 2019 – Jan 2021 | Bengaluru Area, India ### Graduate Engineering Trainee @ Siemens Healthineers Jan 2019 – Jan 2019 ### Intern @ Siemens Healthineers Jan 2019 – Jan 2019 | Bangalore - Worked as a Software developer in Syngo Workflow MLR team. - Got to work on data privacy algorithm on tool logs of Siemens products. ### Vice Chairperson @ IEEE SJCE Jan 2018 – Jan 2019 Organized and coordinated club activities through the executive committee and board of advisors. Guided the junior executive committee how to use social media to increase awareness about the club. ### WIE Student Coordinator @ IEEE SJCE Jan 2017 – Jan 2018 Organised and volunteered for a social initiative called PRAYAS under IEEE-SJCE for the welfare of the children in need. ### Intern @ Skanray Technologies Jan 2018 – Jan 2018 | Mysore Worked on UART Communication on dspic33FGI32GP804. ## Education ### Master of Science - MS in Electrical and Computer Engineering University of Southern California ### Bachelor of Engineering - BE in Electronics and Communications Engineering Sri Jayachamarajendra College Of Engineering ### PCMB Vijaya Vittala PU College, Mysuru, Karnataka ### CBSE JSS Public School, Mysuru, Karnataka ## Contact & Social - LinkedIn: https://linkedin.com/in/divya-nandlal-sahetya --- Source: https://flows.cv/divyanandlalsahetya JSON Resume: https://flows.cv/divyanandlalsahetya/resume.json Last updated: 2026-04-11