Software Engineer Senior

Eric Lee Senior Software Engineer

*********@*****.*** 415-***-****

Profile

•Senior Software Engineer specialized in Generative AI and Python

•Expertise in both frontend and backend development

•Strong background of cloud services

•Hands on experience in Machine Learning and Artificial Intelligence Professional Experience

Senior Software Engineer

Healthcare IT World

2023/01 – 2024/04

Atlanta, GA

•Designed and built 13 conversational chatbots for healthcare and insurance domains, improving accuracy by 15% through technologies such as React/Next.js, Flask, FastAPI, and advanced language models (GPT, Llama2) integrated with Pinecone vector databases.

•Engineered a machine learning pipeline using AWS SageMaker and IoT devices to monitor health statuses, enhancing data storage efficiency in S3 buckets and improving incremental learning with tools like Pandas and Numpy.

•Developed an automated log analysis and repair system leveraging the Elastic Stack (LogStash, Elasticsearch, Kibana) alongside RAG for more efficient problem resolution.

•Led a team of 3 junior developers in creating a B2B web portal for the Medicine Supply Chain, featuring enhanced data management and inventory display capabilities with SQL and NoSQL databases, resulting in a 35% efficiency increase.

•Created a cutting-edge fashion recommendation system employing Python, Docker, OpenCV, and AWS services (Amplify, Lambda, S3, ECR, SageMaker), quickly attracting 100,000 users in its first month by boosting user engagement. Software Engineer

Instantly.ai

2020/10 – 2022/11

Sheridan, WY

•Developed a robust backend for AI image generation platforms utilizing FastAPI, Docker, Jenkins, and Runpod for serverless endpoints, enabling efficient operation of Generative AI models such as SDXL and ControlNet.

•Implemented Named Entity Recognition with the BERT model to enhance document classification and information retrieval with 98% accuracy.

•Collaborated with engineering colleagues, contributed to the development and deployment of a machine learning model for a marketing client, achieving a 40% improvement in click-through rates alongside a 30% increase in conversion rates.

•Engineered a recommendation engine to analyze feedback and user responses, leveraging CRM and social media data through advanced NLP techniques (NER, NLU, NLG).

•Designed the Azure ecosystem architecture for an AI assistant tailored to an industrial SaaS platform.

•Established a comprehensive data solution architecture, integrating data pipelines and modeling across SQL and NoSQL databases, including vector DB and RDBMS, to support scalable data management.

•Enhanced machine learning algorithm performance, securing a 15% increase in accuracy and a 20% reduction in processing times.

•Created a CV and NLP-based document parsing platform on AWS, incorporating serverless solutions and AI services with custom model development in Sagemaker, boosting horizontal scalability for machine learning deployments.

•Improved data management efficiencies by developing and maintaining SQL server procedures, views, and functions, leading to a 35% enhancement in ETL processes.

•Formulated an end-to-end data analytics framework using Amazon Redshift, Glue, and Lambda, which enabled the business to access KPIs more swiftly and at lower costs.

DevOps Engineer

NCQA

2017/09 – 2020/09

Washington DC

•Participated and led in the design and implementation of CI / CD and DevOps processes for agile projects and worked with technologies and platforms such as Python, JavaScript, GIT, Linux,Docker, Kubernetes, Ngnix, Jenkins, AWS, used debugging tools like React-DevTools for faster debugging and reducing debugging time by 50%.

•Implemented a CI/CD pipeline using Jenkins and Docker for Spring Boot and Angular applications, leading to a streamlined development process and reducing time-to-market by 25%.

•Collaborated with a cross-functional team in the adoption of containerization and orchestration tools (Docker, Kubernetes), achieving a seamless CI/CD pipeline that improved deployment efficiency by 20%.

•Orchestrated the migration of a legacy content management system to a modern Node.js based React and Nest platform, enhancing content delivery speed and user engagement by 45%.

•Developed and maintained monitoring and alerting systems, reducing mean time to resolution (MTTR) by 40% and improving system availability by 25%.

•Created and maintained system documentation, ensuring compliance with industry standards and improving overall system reliability. Full Stack Engineer

Cognizant

2013/10 – 2017/08

Teaneck, NJ

•Utilized React/Vue.js and implemented 7+ attractive, responsive, and mobile- friendly website contexts and elements using Tailwind CSS.

•Optimized web applications for maximum speed and scalability, resulting in a 40% decrease in page load time and a 20% increase in overall site traffic.

•Specialized in creating responsive and visually appealing user interfaces, utilizing Angular and Vue.js, resulting in a 20% increase in user engagement and a 15% decrease in bounce rates.

•Developed an e-commerce platform with React and Spring Boot, driving a 25% increase in sales through improved user experience and system performance.

•Implemented automated testing frameworks using Jasmine and Karma, increasing code coverage to 90% and reducing post-deployment issues by 50%.

•Spearheaded a large-scale code refactoring initiative, improving application maintainability and reducing technical debt by 50%.

•Implemented advanced search functionality using Elasticsearch with Spring Boot, providing high-speed, accurate search capabilities and improving user satisfaction by 30%.

•Engineered a comprehensive Django security model implementing OAuth2 and JWT for a secure, robust authentication and authorization mechanism, reducing security breaches by 70%.

Education

Bachelor's Degree in Computer Science

University of California, Berkeley

2009 – 2013

Skills

Programming Language

Python, .NET, C++, Java,

JavaScript/TypeScript

Database

SQLite, MySQL, PostgreSQL, MongoDB,

Pinecone, Chroma, Prisma

DevOps

Docker, Jenkins, Kubernetes, AWS,

Microsoft Azure, GCP

Other Skills

Mathematics, Prompting, Teamwork

Web Development

React/Next.js, Angular.js,

Vue/Nuxt.js, Material UI, TailwindCSS,

Bootstrap, Django, Flask, FastAPI, ASP

.NET, Springboot, Nest.js

ML Tech

GenAI, NLP, Tensorflow, Pytorch, Bert,

GPT-4, Llama, OpenCV, LoRa, Pandas,

Numpy, Matplotlib

Agile Methodologies

Slack, Jira, Trello, Scrum

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