Python Software Engineer with 4+ years of experience in Generative AI (Gen-AI), LLM-based web scraping, deep data extraction, and intelligent content processing. Strong hands-on expertise in prompt engineering, Playwrigh…
Python Software Engineer with 4+ years of experience in Generative AI (Gen-AI), LLM-based web scraping, deep data extraction, and intelligent content processing. Strong hands-on expertise in prompt engineering, Playwright browser automation, AI-assisted extraction pipelines, and Flask REST APIs. Proven experience in legal data extraction, OCR, regex-based parsing, and transforming large-scale unstructured data into structured formats.
Provided L1 and L2 production support for a mission-critical mortgage order management platform handling high-volume transactions.
Performed SQL-based data validation, debugging, and root cause analysis for production issues.
Analyzed application logs and database records to identify and resolve data inconsistencies and system failures.
Worked closely with business users to understand issues, prioritize fixes, and ensure timely resolution.
Collaborated with development teams to enhance system stability, performance, and reliability.
Assisted in incident management, ticket tracking, and SLA adherence using tools like Jira.
Supported data correction activities and backend fixes to maintain data integrity.
Participated in deployment validations and post-release monitoring.
Documented recurring issues and contributed to process improvements and knowledge base creation.
Ensured smooth operation of critical workflows with minimal downtime.
Built Gen-AI powered data extraction pipelines to process large volumes of unstructured web content and documents., Automated scraping of dynamic and JavaScript-heavy websites using Playwright, improving extraction reliability and scalability., Designed and optimized prompt engineering strategies to convert raw HTML and documents into structured JSON outputs., Integrated LLM APIs with Python automation scripts, enabling intelligent data validation and correction., Processed and transformed extracted data using Pandas and NumPy for analytics and reporting., Developed Flask-based REST APIs for internal deep extraction tools and downstream data consumers., Applied Regex and HTML/CSS parsing to extract nested legal clauses, vesting terms, and metadata., Managed data storage and reporting using MySQL, writing optimized queries and joins., Worked extensively in Linux environments for deployment, automation, and server-side execution.
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