Sammed Kamate
Computer Science Grad @ University of California, San Diego
I'm a software developer & engineer turned master's student at UC San Diego, pushing full throttle for pole position at the intersection of AI, Machine Learning, and Software Engineering. I'm on a journey to dive deeper into AI and machine learning, exploring the latest research and discovering innovative applications.
Previously, at JPMorgan Chase, I turbocharged Asset & Wealth management risk analytics, developing and scaling systems. With a passion for deep learning and cloud technologies, I've published research, built cutting-edge projects, and taken on mentoring and teaching—because why not train the next-gen pit crew?
Outside of work, I'm all about fighter jets, cricket, and chess, because, just like coding, it's all about strategy and timing.🚀🏎️
Professional Experience
Artemis Life Sciences
San Diego, USA
AI Intern
Jul 2025 - Sep 2025
- •Developed a Multi-Agentic LLM system using Langraph and AWS to process FDA regulatory documents for medical devices, significantly improving efficiency.
- •Led the architecture, deployment, and end-to-end pipeline for the agentic framework using Streamlit and AWS.
JP Morgan Chase & Co.
Bangalore, India
Software Engineer II
Feb 2024 - Jul 2024
- •Promoted to Software Engineer II one year ahead of schedule due to outstanding performance.
- •Spearheaded the comprehensive design and development of various new features for the ad-hoc service.
- •Incorporated a NLP solution to parse financial queries to dynamically generate backend API calls for targeted data retrieval and presentation.
Software Engineer I
Aug 2022 - Jan 2024
- •Engaged as a developer in Risk Analytics within the Asset and Wealth Management division at the firm.
- •Implemented an ad-hoc querying solution based on Spring framework to process 200k records, enabling comprehensive analyses tailored to the needs of risk and asset managers, and significantly enhancing operational efficiency.
- •Developed and published a Python library within the firm for conducting risk analytics, which improved the accuracy and speed of risk assessments.
- •Engineered and developed a microservice based solution for monitoring and reporting breaches of risk metric thresholds, cutting processing time by 30% and decreasing manual intervention by 50%.
SEP Intern
Jan 2022 - Jul 2022
- •Individually developed a Spring boot based microservice to aggregate data from upstream sources, coupling with Elasticsearch to provide auto-text suggestions.
- •Brainstormed and performed various POCs for AWS cloud migration from existing on-prem by redesigning legacy services. improving scalabilty and reducing costs.
- •Upgraded and reconfigured existing microservices, ensuring improved efficiency, safety, and fault tolerance within the system.
Rivan Solutions
Hyderabad, India
Web Development Intern
Apr 2021 - Jul 2021
- •Assisted in designing and building a web application using Flask based on the client’s requirements, optimizing their existing solution and reducing operational costs.
- •Developed a microservice to automate data collection and extraction, improving analysis speed and accuracy and driving higher sales.
Academia Experience
Human attention on Image/Video compression
Feb 2025 - Present
- •The research focuses on studying the impact of human attention in large language models for video compression applications under the tutelage of Prof. Pamela Cosman (Chair, Electrical and Computer Engineering, UCSD).
- •Currently, studying the transformer based models (SwinT-ChARM, ViT) for compression.
- •Submitted the paper to CVPR 2026 conference, currently under review.
Teaching Assistant, UCSD
Sep 2025 - Current
- •Serving as a Teaching assistant for the graduate course CSE 210 - Software Engineering under Prof. Thomas Powell.
- •Acting as a Product Manager and mentoring students on agile practices, architecture design, and project management strategies, supporting them in navigating project milestones and applying industry-level best practices.
Teaching Assistant, UCSD
Aug 2025 - Sep 2025
- •Serving as a Teaching assistant for the course CSE 135 - Online Database Analytics Applications, under Prof. Thomas Powell.
- •Curating homeworks and disucssion sessions involving setting up webservers and performing analytics on the user data using various database and analytics platforms.
Teaching Assistant, UCSD
Apr 2025 - Jun 2025
- •Serving as a Teaching assistant for the course CSE 110 - Software Engineering under Prof. Thomas Powell.
- •Acting as a Product Manager and guiding students in the successful completion of their projects while ensuring adherence to software engineering principles.
- •Mentoring students through project management processes, helping them navigate project milestones, and ensuring the effective application of software engineering best practices.
Classification of Human Poses using Deep Learning Techniques
Mar 2022 - Aug 2022
- •Executed a pose classification model involving the use of Blazepose and trained CNNs on redrawn images of pose skeletons to minimize noise in the classification process.
- •Conducted a comparative analysis of multiple CNN architectures for yoga pose classification, with DenseNet achieving the highest accuracy among the models evaluated.
Best Paper Award at IEEE CSITSS-2023, published in the IEEE Xplore journal.
Sentiment Classification using Graph Convolution Network
Mar 2021 - May 2021
- •Developed a model to analyze the sentiments of texts more efficiently by implementing a novel approach to use GloVe vector embedding in tandem with Graph CNN to achieve higher accuracies.
Startup Experience
Aamara Technologies
Chief Technology Officer
Bangalore
Aug 2023 - Sept 2024
- •Designed, Developed, and Deployed a collection of microservices as F&B ordering system for the century-old British-established City Club, Shivamogga, India.
- •Designed and implemented a Langchain based Chatbot with RAG model for an Asset management firm enabling managers to seamlessly query audited financial data and automate workflows.
- •Led the design and architecture of software solutions, overseeing junior developers in building and enhancing various products.
Projects
Movie Recommendation System
- Implemented content-based filtering, Singular Value Decomposition (SVD), Bayesian Parameter Models, and Autoencoders to improve recommendation accuracy.
- Tackled challenges such as sparsity, scalability, and the cold-start problem by leveraging hybrid recommendation techniques.
LangChain-based Chatbot with RAG Model
- Designed and implemented a Retrieval-Augmented Generation (RAG) model using LangChain, integrating structured API calls for enhanced query handling.
- Employed Neo4j's graph database to build vectorized storage, allowing hybrid retrieval methods that combine keyword, vector, and graph search indexes.
- Enabled real-time question answering and dynamic knowledge retrieval, improving chatbot accuracy for complex queries.
Involve Learning Solutions Foundation
- Created and deployed a dashboarding and reporting platform for the NGO, streamlining accounting and planning processes.
- Onboarded the NGO team to Salesforce and Google Studio based platform from the existing excel sheet operation.
- Improved data visualization and reporting efficiency, enabling better decision-making for the organization.
Covid Bed Finder
- Spearheaded the end-to-end design, development, and deployment of a user-friendly web application.
- Allowed users to locate the nearest hospitals equipped with essential COVID treatment facilities.
- Implemented geolocation features to provide accurate and timely information to users in need.
Publications
Classification of Human Poses using Deep Learning Techniques
Accepted at IEEE CSITSS-2023, published in the IEEE Xplore journal.
Best Paper Award (Intelligent Systems Track), RVCE
View PublicationCertifications
Deep Learning Specialization
DeepLearning.AI, Coursera
A specialized online course that offers hands-on experience with Deep Neural Networks, focusing on executing optimized and efficient networks through practical technical exercises.
View CertificateMachine Learning By Andrew NG
Stanford University, Coursera
An online course that provides practical experience on fundamental Machine learning and statistical modelling.
View CertificateAchievements
Best Captsone Award @ dept of CSE
M S Ramaiah Institute of Technology
May 2022
Secured 6th rank @ dept of CSE
M S Ramaiah Institute of Technology
May 2022