s
seward260

Seward C

@seward260

Software Engineer

États-Unis
Chinois, Anglais
Certaines informations sont présentées en anglais.
À propos de moi
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.... Plus d’infos

Compétences

s
seward260
Seward C
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Scraping de données
I will build a custom python web scraper or data extraction tool
De30 $US / projetPlus de détails
Aide / Consultation
I will be your 1 on 1 python tutor for web scraping, ai integration
De45 $US / projetPlus de détails

Expérience professionnelle

Adobe

Technology Compliance Automation Engineer

Adobe • Temps plein

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%.