Software Engineer Product Manager
Resume:
Lancaster, Ohio ***** ***********@*****.***
Linkedin: https://www.linkedin.com/in/r yo-davis-55960b2b6/ Facebook: https://www.facebook.com/pr ofile.php? id=615***********
Dynamic and highly skilled AI Professional with an extensive track record in AI and software development, boasting deep expertise in Python Development, Data Engineering, ML Engineering, and Full-Stack ML Engineering. Proven ability to seamlessly transition into strategic leadership roles such as Senior Software Engineer, Cloud AI Engineer, AI Solutions Architect/Lead, AI Product Manager, and Team Leader, consistently driving innovation and excellence. Proficient in a wide array of technical frameworks and languages, including Django, Flask, React, TensorFlow, PyTorch, Scikit-learn, XGBoost, and Numpy, and adept in harnessing cloud services like AWS and GCP for deploying robust AI and web solutions.
With a versatile background spanning diverse industries—Healthcare, Financial Services, Education, Tourism, Law, Real Estate, and Marketing— I excel in developing intelligent applications and systems that deliver impactful results. I bring a solid track record in deploying scalable ML solutions using state-of-the-art frameworks and creating dynamic applications via leading web technologies. My expertise also encompasses a comprehensive suite of cloud services such as AWS (S3, Lambda, Glue, EC2, EKS, Cognito, CloudWatch, API Gateway, Elastic IP, Router, RDS, DynamoDB, and SageMaker) and GCP, ensuring seamless integration and scalable deployment of ML models.
Since late 2022, I have garnered hands-on experience with cutting-edge AI tools like OpenAI GPT, LangChain, llama-index, Vector Search/Hybrid Search, and various AI-generative technologies. Notable projects include developing a Vectorized Chatting app, AI Avatar Generation app, and Healthcare/Educational AI Chatbots. Additionally, I have successfully led initiatives delivering impactful solutions such as decision-making assistants in financial markets, fuel usage optimization tools, and Smart Vehicle Distance Planning systems.
Renowned for my leadership, technical expertise, and ability to translate complex business requirements into successful AI-driven solutions, I am passionate about driving technological advancements and making significant contributions to forward-thinking, data-driven organizations.
Bachelor of Science (B.S.) in Computer Science
The University of Tokyo, Tokyo September 2009 - September 2013
Master of Science (M.S.) in Computer Science
The University of Tokyo, Tokyo
September 2013 - October 2014
Programming Language: Python, C++, JavaScript, PHP, Go, Rust, Ruby
ML: XGBoost, Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas, Pyspark, Keras, QLora
Web Frameworks: React/Next.js, Django/Flask/FastAPI, Ruby on Rails,
Lead AI Software Engineer
AlitaHealth.ai, Denver, CO February 2024 - Present
Developed various essential features entertainingly; ensuring multilingual capabilities, automated booking system for tours and calls, quote generation, job application inquiries, database-based customer inquiries, and escalation to live human support.
Worked closely with the end-users to generate feedback and leveraged the output for continual system improvements.
Administered AWS cloud platform to create a robust insights dashboard for each customer. The personalised dashboards include metrics such as conversation count, escalations, language used, job inquiries, lead generation statistics, and other user engagement metrics.
Successfully integrated the chat agent into numerous healthcare websites, and developed a comprehensive guide to streamline implementation for new clients. Automated as much as possible onboarding process contributing to scalability.
Managed to achieve project's target of deployment of 1,000 chat agents within a year, with an ultimate goal of reaching 2,500.
Leading the post-launch support and troubleshooting operations, ensuring uninterrupted operations.
gin-gonic, Streamlit/Chainlit, Laravel
Database: MySQL, Redis, MongoDB, PostgreSQL, Prisma
AI Frameworks and tools: Langchain, llama-index
LLMs: GPT4, llama3, Mistral
Open-Source Autonomous Agents & Frameworks: Autogen, CrewAI, OpenAGI, JARVIS, Camel, CrewAI
NLP: Spacy, NLTK, prodigy
Automation: Zapier, n8n, Selenium
Sparse Embedding, Vector Embedding, Hybrid Search, Keyword Search, Semantic Search, Elasticsearch, Metadata Filtering
OpenAI: GPT4, Voice(alloy, echo, fable, onyx, nova, and shimmer), whisper, Dall-E-3
Stability AI, Midjourney
Vector DBs: Chroma, Pinecone, Weaviate, Qdrant, Redis, Atlas
Prompting Frameworks: RTF, Chain of thought, RISEN, RODES, Chain of density
Conversational AI: Dialogflow CX/API, Amazon Lex, Kore.ai
Others: Stack-ai, mindstudio, Manychat
AWS S3, Lambda, Glue, EC2, EKS, Cognito, CloudWatch, API Gateway, Elastic IP, Router, RDS, DynamoDB, Bedrock, Sage Maker
Blockchain: Web3.js, Defi & dApp & Dex, NFT
Grafana, Retool, DataDog Message Broker, Web Sockets Azure, GCP
Lead Software Engineer AI Solutions Architect AI Engineer
Roobi.ai, Castle Rock, CO January 2023 - June 2024
Developed 'Roobi', an Artificial Intelligence Technical Advisor from scratch, providing insightful consultations to clients across various technology domains which include UCaaS, CCaaS, CPaaS, Cybersecurity, Enterprise Networking, Mobility, IoT, Cloud Solutions, and AI Innovations.
Constructed the core framework of Roobi to understand clients' unique technology needs and recommend custom-made solutions following a thorough discovery process, enhancing the client experience.
Designed multiple backend microservices using FastAPI and Web Sockets, to support the smooth functioning and seamless interaction of Roobi with the clients.
Integrated a structured query model within Roobi to identify key business information, evaluate specific client's pain points, align operational objectives, consider budgetary and regulatory constraints, and comprehend project timelines to provide the best-fit tech solutions.
Integrated functions within the AI agent, such as 'recommendTechSolution' and 'sendSolution' to not only provide customized solutions but also email the detailed proposal to clients, ensuring a proficient end-to-end client interaction.
Maintained an empathetic, professional, and structured approach to client conversations, thus, resulting in productive and satisfying interactions.
Successfully managed to schedule follow-up meetings for clients with limited availability, offering immediate technology-related solutions when necessary, exemplifying the high flexibility of Roobi.
Data Scientist AI Consultant
VLEGACI LLC, Los Angeles, CA February 2023 - February 2024
Aging Tech Insight and Recommendation System:
Utilized multi-agent approaches through autogen frameworks in the development process.
Seamlessly integrated tools such as Google API, web scraping, and database CRUD
operations into the AI functionality.
Executed the creation of a comprehensive targeted products database for the Aging tech Industry using AI-powered marketing research tool.
Developed a strategic schema to capture essential product details like name, vendor, URL, category, condition, description, images, cost, innovation level, and notes.
Populated the database through an extensive market research ensuring it is filled with relevant product information.
Owed to the integrated AI advisor function, provided clients with personalized product recommendations aligning with their specific needs.
An innovative AI-driven car buying decision engine:
Utilized XGBoost and Scikit-learn to analyze trends in the car flipping market.
Developed an AI-driven decision engine for car buying, revolutionizing the traditional approach.
Integrated OpenAI's text-embedding model and Pinecone's vector database in the engine to predict flipping profitability.
Employed Retrieval Augmented Generation (RAG) architecture to compile analysis results into a user-friendly rating system.
Created an intuitive interface for immediate evaluations and buy recommendations.
Designed a real-time dynamic pricing model to forecast optimal resale price and sales speed.
Successfully enhanced investor confidence and simplified market analysis with this innovative approach.
Significantly improved the accuracy of car sellability and flipping opportunity predictions.
AI Consultant AI Software Engineer Langchain Specialist
pMD, Palo Alto, CA January 2023 - October 2023
Pioneered and implemented a sophisticated AWS Lambda Python codebase, leveraged to periodically execute personalized responses to real-time user interactions within the pMD health-tech application. Demonstrated adept Python coding skills by successfully integrating LangChain's DynamoDBChatMessageHistory object to systematically extract chat history and relevant summaries of the user's most recent activities from the DynamoDB database.
Masterminded a unique strategy to strategically harness the power of LangChain and OpenAI ChatGPT, subsequently enhancing the overall conversational intelligence of the chatbot. Demonstrated superior technical proficiency by ensuring persistence of new chat interactions, both user responses and chatbot replies, in DynamoDB, thereby ensuring seamless user engagement.
Amplified chatbot user interaction efficiency by leveraging the ConversationSummaryBufferMemory object to streamline real-time updates of users' recent activities. This allowed both short and long-term memory functionality for the chatbot with efficient data storage in DynamoDB.
Supervised and orchestrated the prompt delivery of the chatbot's responses, effectively enhancing real-time user engagement. Success stories include the development of an advanced version of the LangChain Python libraries in a high- performing and user-friendly format that can be seamlessly imported as a Layer in the AWS Lambda. This resulted in improved speed and efficiency of the chatbot's responses, demonstrating a fruitful hybrid search implementation.
Sr. Software Engineer Principal AI Solutions Lead Lead AI Software Engineer
Alpha Bravo Development, Miami, FL January 2022 - January 2024
Implemented an AI Recommendation Engine: Spearheaded the development and integration of an AI-driven recommendation engine within the Soaak app to enhance user engagement and experience.
Developed Smart Notification & Pop-Up Triggers:
Heart Rate Monitoring: Designed a system that utilizes data from Apple HealthKit and Fitbit to monitor users' heart rates. Configured real-time push notifications that guide users to appropriate sound frequency compositions (e.g., Exercise Enhancement, Stress Relief) based on their heart rate data.
Custom Workout Sessions: Constructed dynamic prompts and AI chatbot interactions to suggest relevant sound frequencies (e.g., Exercise Enhancement, Cardiovascular Health) when a workout session starts.
Mindfulness Sessions: Created AI-triggered notifications for mindfulness activities, offering sound compositions like Mental Clarity and Enhanced Creativity.
User Engagement & Feedback Collection:
App Store Reviews: Developed a sophisticated pop-up system to prompt users for 5- star reviews, ensuring optimal user feedback collection and improved app ratings.
Customer Support Automation: Implemented chatbot features to solicit user feedback and route customer support inquiries, increasing responsiveness and user satisfaction.
Push Notification Permissions: Formulated and deployed a seamless onboarding process encouraging users to allow push notifications, thereby enhancing user interaction with the app.
Data Scientist Full-stack ML Engineer
Amgen, South San Francisco, CA January 2018 - January 2022
Led the development and implementation of ML models for healthcare and legal projects, successfully improving data visualization, analysis, and predictive capabilities.
Utilized NLP and various embedding models to optimize customer service experiences within the real estate and education sectors, enhancing agent efficiency and customer satisfaction.
Designed and executed a range of critical web development projects, including a Job Portal, an Employee Management System, and a Real-Time Chat Application, using the MERN stack.
Utilized Django, Python, and Flask to build a Real-Time Analytics Dashboard, employing dynamic data visualization tools to support efficient business performance monitoring and informed decision making.
Employed statistical analysis to predict future sales trends and enhance the company's selling strategy.
Created complex ETL processes and data models for an efficient data warehousing system.
Used Python libraries such as NumPy, Pandas, and Matplotlib to analyze and visualize data. Select a large dataset for this project, for instance, data about Covid-19, global warming, or country demographics, etc.
Engineered data analysis and predictive models using TensorFlow, PyTorch, and Scikit- learn, aimed at streamlining fleet management operations and decoding Stock Market Trends.
Integrated Stripe for seamless payment processing, elevating user experience across
all digital platforms.
Orchestrated the setup and management of MYSQL and PostgreSQL databases, ensuring robust, secure, and efficient data handling capabilities.
Demonstrated Agile methodologies implementation in fast-paced environments to meet the product lifecycle from beginning to the end.
Collaborated with cross-functional teams for product development with a consistent focus on user-centric design and high-quality standards.
Mentored junior developers in code writing, debugging, and provided insightful suggestions into software development life cycle process improvements.
Kept updated with the latest industry trends and emerging technologies, regularly expanding competencies through continuous learning initiatives.
Deployed and maintained scalable cloud infrastructure using Docker, Kubernetes, and Terraform, collaborating with Azure, AWS, and GCP to provide reliable Financial Services and real estate solutions.
Python Developer Software Engineer
The Mice Groups, Scotts Valley, CA December 2014 - December 2017
Led the design and development of an expansive online shop portal utilizing Laravel, Vue, and PHP, significantly improving UX and increasing the average session duration by 19%.
Developed a comprehensive social network application employing the MERN stack (MongoDB, Express.js, React, and Node.js), garnering positive user feedback for intuitive design and smooth functionality.
Utilized Django and Python to create a real-time streaming dashboard for system and resource monitoring, and lead generation. The system significantly improved efficiency, reducing server downtime by 30%.
Accomplished multiple big data migrations to AWS and GCP cloud services, ensuring high availability and scalability of the company's applications and websites.
Integrated world-class payment gateway Stripe into various e-commerce portals, streamlining online transactions and heightening the end user's purchasing experience.
Actively handled diversified databases including MYSQL and PostgreSQL, ensuring data consistency, integrity, and security across all platforms.
Implemented best coding practices, developed and maintained code for various Web applications, and ensured the applications were built in compliance with coding standards.
Worked cross-functionally with developers, designers, and product managers to deliver projects in a timely manner while upholding the highest quality standards.
Received praise for hands-on problem-solving abilities and excellent debugging skills.
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