Rishabh Srivastava Email & Phone Number

Sunnyvale, Ca, Us

New York, New York, Us

- Developing transformer-based models to detect signs of Age-related Macular Degeneration (AMD) from gaze data on B-scans.

New York, Ny, Us

- As a Teaching Assistant in the Quantitative Methods in the Social Sciences department, I lead recitations and support students in mastering advanced ML techniques.

New York, Ny, Us

- 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.

New York, Ny, Us

- Responsible for mentoring and guiding students with project ideation and demonstrations in this graduate-level course.

New York, Ny, Us

- Responsible for mentoring and guiding students with course material, projects, and demonstrations.

- 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.

San Jose, Ca, Us

- 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.

San Jose, Ca, Us

- Contributed as an integral member of the Adobe Experience Manager (AEM) Assets team, driving assetlifecycle from inception to distribution seamlessly.- Leveraged Sling, Apache Jackrabbit Oak, and OSGi frameworks to optimize performance and enhanceworkflow 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.

San Jose, Ca, Us

- 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.

Ansan, Kr

- 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.

Master Of Science - Ms, Computer Science

Bachelor'S Degree, Electronics And Electrical Engineering

Minor Degree, Computer Science And Engineering

12Th, Computer Science