s
seward260

Seward C

@seward260

Software Engineer

Estados Unidos
Chinês, Inglês
Algumas informações são exibidas no idioma inglês.
Sobre mim
Need AI integrated into your product? I build AI agents, RAG systems, and Python backends that actually ship to production. 7 years at a Fortune 500 tech company. Co-built deep research agents and voice AI at a YC-backed startup. What I deliver: -> AI Assistants with Agents & RAG systems (LangChain, OpenAI, GraphRAG) -> Python automation & web scraping (Firecrawl, FastAPI) -> Backend APIs & data pipelines Certs: AWS Solutions Architect / CISSP / UIUC CS Master's Message me your project details - I respond within hours.... Saiba mais

Habilidades

s
seward260
Seward C
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Data Scraping
I will build a custom python web scraper or data extraction tool
A partir deUS$ 30 /projetoMais detalhes
Ajuda/Consultoria
I will be your 1 on 1 python tutor for web scraping, ai integration
A partir deUS$ 45 /projetoMais detalhes

Experiência profissional

Adobe

Technology Compliance Automation Engineer

Adobe • Período integral

Jul 2019 - Present • 6 yrs 10 mos

Build an internal-facing platform to provide a holistic view of compliance posture of the organization. Develop scripts to extract data from Splunk logs, JIRA tickets, and central sources of LDAPs, cloud accounts and service information to support the controls’ testing automation. Automate audit/compliance tasks in JIRA ticketing system to send requirements of action items to service team to comply with Adobe CCF Framework control language. Design and execute QA tests using scripts that automatically test functionality. Gather requirements from clients to design automation solution and lead the UAT sessions with clients. Develop a cross-geo team as a senior team member and handle communications on both India and US ends. Led a groundbreaking AI project utilizing Retrieval-Augmented Generation (RAG). Co-Authored a comprehensive DevSecOps playbook internally, baking security into product design, reducing deployment research time by 50% and improving resource utilization efficiency by 15%.