# Rishabh Srivastava > SDE @ Orby AI | MS CS @ Columbia University | Adobe | IIT Guwahati Location: Sunnyvale, California, United States Profile: https://flows.cv/rishabhsrivastava I’m a Software Engineer at Orby AI, building next-generation automation technology. With a Master’s in Computer Science (Machine Learning Track) from Columbia Engineering, I’ve worked across industry and research to deliver impactful solutions in Machine Learning, Computer Vision, and NLP. My experience includes creating AI-driven products at Adobe, Rubicon Robotics, and Columbia’s ARiSE and AI4VS Labs. I thrive on transforming ambitious ideas into polished, high-performing systems that make a difference. ## Work Experience ### Software Engineer @ Uniphore Jan 2025 – Present | Palo Alto, California, United States ### Software Engineer @ Orby AI Jan 2025 – Jan 2025 | Mountain View, California, United States Acquired by Uniphore 🎉 ### Research Assistant - Artificial Intelligence for Vision Science (AI4VS) Laboratory @ Columbia University Irving Medical Center Jan 2024 – Jan 2024 | New York, New York, United States - Developing transformer-based models to detect signs of Age-related Macular Degeneration (AMD) from gaze data on B-scans. ### Teaching Assistant - QMSS GR5074 (Projects in Advanced Machine Learning) @ Columbia University Jan 2024 – Jan 2024 | New York, New York, United States - As a Teaching Assistant in the Quantitative Methods in the Social Sciences department, I lead recitations and support students in mastering advanced ML techniques. ### Research Assistant - Advanced Research in Software Engineering (ARISE) Lab @ Columbia University Jan 2024 – Jan 2024 | New York, New York, United States - Fine-tuned DeepSeek-Coder-V2-Lite-base to improve SemCoder-S, a semantic-aware Code LLM. - Conducted experiments comparing SemCoder-S with other Code LLMs , achieving superior performance with F1 score of 0.678 for code correctness and 62.4% accuracy for execution prediction. ### Teaching Assistant - COMS W6156 (Topics in Software Engineering) @ Columbia University Jan 2024 – Jan 2024 | New York, New York, United States - Responsible for mentoring and guiding students with project ideation and demonstrations in this graduate-level course. ### Teaching Assistant - COMS W4156 (Advanced Software Engineering) @ Columbia University Jan 2023 – Jan 2024 | New York, New York, United States - Responsible for mentoring and guiding students with course material, projects, and demonstrations. ### Software Engineer Intern @ Rubicon Robotics Jan 2024 – Jan 2024 | New York, United States - Developed and implemented CV algorithms for swimmer detection by SwimBot, achieving a 90% accuracy rate. Employed the OpenPose model for comprehensive posture analysis. - Developed Django backend interfacing with AWS RDS, deployed site using AWS EC2 behind Application Load Balancers, and Route53 for custom domain assignment. - Established CI/CD pipeline using GitHub Actions, significantly enhancing development efficiency and site reliability. ### Software Development Engineer 2 @ Adobe Jan 2023 – Jan 2023 | Noida, Uttar Pradesh, India - Led end-to-end implementation of Smart Tags Block-list in AEM Assets Essentials. Users can block smart tags considered inappropriate for an asset and maintain a list of such tags to be blocked for all assets. - Spearheaded enhancement of AEM Assets Search by utilizing Lucene indexing for efficient information retrieval, Hugging Face’s BLIP (Bootstrapping Language-Image Pre-training) APIs for asset auto-captioning and GPT-4 for query pre-processing. - Served as the Single Point-of-Contact for Smart Content Services (SCS) in AEM Assets. ### Software Development Engineer @ Adobe Jan 2021 – Jan 2023 | Noida, Uttar Pradesh, India - Contributed as an integral member of the Adobe Experience Manager (AEM) Assets team, driving asset lifecycle from inception to distribution seamlessly. - Leveraged Sling, Apache Jackrabbit Oak, and OSGi frameworks to optimize performance and enhance workflow efficiency. - Solved 30+ localization, accessibility and vulnerability issues, fortifying the platform’s resilience and reliability. - Volunteered as the DevOps Champion, managed and maintained the CI/CD pipeline deployed on Jenkins to enable seamless integration and delivery of code changes. ### Media and Data Science Research Intern @ Adobe Jan 2020 – Jan 2020 | Noida, Uttar Pradesh, India - Conceptualised and implemented a new Reinforcement Learning-based algorithm to extract top relevant patterns from temporal, sequential data sets. Goal was to monitor and improve user-targeting based on certain Key Performance Indicators. - Trained Deep Q-Network employing TF-Agents and extracted patterns ranked according to user-specified measures of interest. ### Summer Research Intern @ Hanyang University - ERICA Jan 2019 – Jan 2019 | Ansan, Gyeonggi-do, Korea - Developed and designed a new algorithm, termed Adaptive Shadowed C-Means (ASCM), to cluster data sets using fuzzy and shadowed sets. - Reduced impact of noise in clustering by keeping outliers concentrated in shadow region. - Implemented algorithm in MATLAB on different data sets, and performed image segmentation on various sample images. ## Education ### Master of Science - MS in Computer Science Columbia University ### Bachelor's degree in Electronics and Electrical Engineering Indian Institute of Technology, Guwahati ### Minor Degree in Computer Science and Engineering Indian Institute of Technology, Guwahati ### 12th in Computer Science Dewan Public School Meerut ## Contact & Social - LinkedIn: https://linkedin.com/in/rishabhsrivastava6 --- Source: https://flows.cv/rishabhsrivastava JSON Resume: https://flows.cv/rishabhsrivastava/resume.json Last updated: 2026-04-11