Sam Bass
AI Full-Stack Software Engineer
Professional Summary
Experienced Full-Stack Software Engineer with over 10 years of expertise in crafting front-end and back-end applications across diverse sectors, including entertainment, finance, healthcare, and automotive. Mostly been working on rewrites of applications to newer frameworks and brand-new enterprise-level software applications. Recognized as an adept team player, communicator, and adept problem-solver. Passionate and knowledgeable about programming and exploring new technologies. Highly motivated, disciplined, persistent, focused, and open-minded. I love to learn as much as possible to be a valuable asset to any company I might work for. Seeking a full-time/contract position to channel my skills and drive the success of a forward-thinking company.
Professional Experience
Over 10 years of experience building innovative solutions across diverse industries
AI & Full-Stack Senior Software Engineer
Max Crest Solutions
Senior Software Engineer
JPMorgan Chase & Co.
Senior Software Engineer
Walt Disney Animation Studios
Senior Software Engineer
Dimensional Financial
Senior Software Engineer
Florida Blue - Blue Cross Blue Shield
Senior Software Engineer
PricewaterhouseCoopers (PWC)
Senior Software Engineer
Express Scripts - Cigna
Professional Freelancer
Bass & Austin
Software Engineer
General Motors
AI & Full-Stack Senior Software Engineer
Key Achievements & Responsibilities
Developed and deployed a 7B-parameter NLP system using C/C++ (llama.cpp) for CPU-efficient inference, integrated with Python (llama-cpp-python) for automation, secure document analysis, and interactive chat. Built a Next.js frontend via FastAPI for real-time text generation, summarization, and Q&A over uploaded documents. Optimized with GGUF quantization, BLAS/OpenBLAS, and optional GPU acceleration (CUDA/ROCm). Configured for local and AWS deployment to support offline, private, and cloud-based NLP applications.
Enabled secure, offline AI-powered text generation and analysis for sensitive/proprietary data (e.g., law firm documents).
Built an interactive chat interface with document upload for summarization, contract review, and legal Q&A.
Automated workflows such as email drafting, document summarization, and content generation through Python scripting.
Delivered a scalable, optimized solution capable of running on both CPU and GPU resources with minimal memory footprint.
Technology Stack: C/C++, Python, llama.cpp, GGUF models, BLAS/OpenBLAS, CUDA/ROCm, FastAPI, Next.js, CMake, gcc/clang, AWS
Collaborated with the client's team to finalize a Farmer Market app among other apps, ensuring it met the design specifications from Figma
Developed reusable React components and managed app state efficiently using React hooks for improved performance and scalability
Integrated real-time features using WebSocket and Firebase, enhancing user engagement with push notifications and live data synchronization
Worked with Java Spring Boot for back-end integration, ensuring smooth communication between the front-end and back-end services
Optimized app performance by reducing unnecessary re-renders and improving load times through efficient component design
Implemented role-based access control within APIs to securely manage user sessions and authentication across mobile platforms
Implemented Stripe API to the application for payments
Contributed to integrating secure payment processing workflows, leveraging back-end services for transaction encryption and validation
Used Cypress for end-to-end testing to ensure the app's functionality, testing user interactions, and validating the app's behavior in real-world scenarios
Conducted thorough manual and automated testing using Cypress to identify and resolve bugs and improve app stability prior to launch
Technology Stack: Front-end with NextJs, ReactJS, Python, Back-end worked with Java with Spring Boot & NodeJs, Database modifications using Firebase, Testing Cypress, Deployment CI/CD AWS, Netify, StripeAPI.
Integrated ChatGPT API to help create AI AGENT operator to take information from incoming callers in connection to a Twilio API number.
Python was used to write scripts that deployed in Google Cloud to run the ChatGPT API operator.
Technology Stack: Phyton, Google Cloud, Database modifications using Firebase, AI, ChatGPT API, Twilio API
Technical Expertise
Comprehensive skill set spanning modern technologies and frameworks
Programming Languages
Frontend
Backend
Databases
Cloud & DevOps
AI & ML
Tools & APIs
Other
Education
Bachelor of Science: Computer Science, Computer Engineering, Applied Mathematics
Texas State University
- Concentration in Computer Engineering, Minor in Applied Mathematics
- Core Coursework: Advanced Software Engineering, Data Structures & Algorithms, Operating Systems, Computer Networks, Digital Logic Design, Circuit Analysis, Database Systems, and Computational Mathematics.
- Gained strong foundation in both Computer Science and Computer Engineering, combining theoretical knowledge and hands-on experience in software development, hardware integration, and problem-solving techniques.
- Applied Mathematics minor enhanced quantitative analysis skills, specializing in areas such as discrete mathematics, probability theory, and numerical methods, critical for optimizing algorithms and improving system performance in real-world applications.
- Projects and Research: Developed a custom-built software solution as part of a capstone project, leveraging advanced data structures and algorithms to solve a real-world problem in the field of network optimization.
- Conducted research on machine learning algorithms, focusing on their implementation and performance on large-scale data sets, which provided practical insights into data-driven decision-making and predictive modeling.
- Extracurricular Activities: IEEE (Institute of Electrical and Electronics Engineers): Member of the student branch, engaging in seminars, hackathons, and projects that fostered collaboration with industry professionals and students to solve real-world challenges in both software and hardware domains.
- MAES (Mexican American Engineers and Scientists): Active participant in workshops and mentorship programs, working to promote diversity and inclusion within the tech industry while networking with peers in the engineering and software development communities.
- Academic Achievements: Graduated 6 months early from high school, showcasing exceptional academic dedication and discipline, and was awarded the Early High School Graduation Scholarship Program, which recognized academic excellence and ambition.
- Consistently recognized for strong performance in mathematics and engineering courses, with special commendations in algorithmic problem-solving and system design.