Lathif shaik
@lathifshaik
Software engineer building AI agents and RAG systems with production-grade APIs and DevOps.
What I'm looking for
I’m a Sydney-based Software Engineer who builds AI-powered products end-to-end—LLM APIs, RAG pipelines, and agentic workflows—then ships them reliably with strong backend engineering and DevOps ownership. I focus on turning complex integrations into maintainable systems that perform in production.
At Oribo.org, I architected and owned a community platform serving 200+ members across 3 cities, including authentication, social feeds, event workflows, and community tooling. I shipped RESTful backend APIs and relational database models for 1,000+ concurrent operations, ran end-to-end CI/CD with an observability stack, cut incident resolution time by 60%, and achieved 99.9% uptime.
Previously at Workzen Inc, I led system architecture, infrastructure, and DevOps as the sole engineer for an AI-powered hiring platform adopted by 20+ HR firms—scaling from 0 to acquisition in 16 months. I built agentic LLM pipelines for resume parsing and candidate evaluation (cutting manual screening by 70% and processing 5,000+ candidate profiles), integrated ATS/calendar/email/Slack via REST APIs and event-driven webhooks, and owned the full MLOps and production observability lifecycle from day one.
Experience
Work history, roles, and key accomplishments
Software Engineer
Oribo.org
Aug 2025 - Present (11 months)
Architected and owned Oribo, a community platform, including authentication, social feeds, event workflows, and community tooling. Shipped RESTful backend APIs and CI/CD/observability improvements, achieving 99.9% uptime and reducing incident resolution time by 60%.
Software Engineer
Workzen Inc
Jan 2025 - May 2026 (1 year 4 months)
Led end-to-end architecture, infrastructure, and DevOps as the sole engineer for an AI-powered hiring platform adopted by 20+ HR firms. Built agentic LLM pipelines for resume parsing and candidate evaluation, integrated ATS/calendar/email/Slack via REST APIs and event-driven webhooks, and owned the full MLOps/DevOps lifecycle through acquisition by Talenx Technology in May 2026.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology (Honours), Computer Science & Engineering
Activities and societies: Projects included MCP middleware for auto-generating AI agent interfaces, a production RAG knowledge engine (semantic search/vector indexing), a freelance event platform MVP, and an off-grid iOS mesh communication app.
Earned a Bachelor of Technology (Honours) in Computer Science & Engineering, equivalent to AQF Level 8. Coursework covered data structures, machine learning, databases, software engineering, computer networks, operating systems, artificial intelligence, and web development.
Availability
Location
Authorized to work in
Job categories
Skills
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