Mohd Tariq Ansari
@mohdtariqansari
I scale agentic RAG systems and cloud-native platforms into production.
What I'm looking for
At F5 Networks, I architected a LangGraph-based multi-agent system and a high-accuracy Agentic RAG pipeline serving a 100,000+ document corpus. I led an 8-engineer team that scaled an enterprise system for 40,000+ users and contributed $5M+ in additional revenue inflow.
I build production AI and distributed platforms with measurable outcomes. My RAG work reached 92%+ retrieval accuracy through cross-encoder re-ranking, while my BIG-IP Next Upgrade Platform reduced control-plane upgrade cycles by 90% and maintained 99% traffic uptime.
Previously at BMC Software, I helped move TrueSight Operations Management from a monolith to cloud-native microservices, accelerating customer onboarding by 60%. I also designed Kafka-based pipelines processing 200M+ daily events and built an Elasticsearch query analyzer that improved escalation-resolution SLAs by 35%.
Across Veritas, Accenture, Oracle, and Wipro, I've delivered SSO, CRM, application integration, web services, and full-stack product capabilities. I enjoy taking products from 0-to-1, mentoring engineers, and guiding cross-functional teams from ideation through scaled production delivery.
Experience
Work history, roles, and key accomplishments
Architected a LangGraph-based multi-agent system for iRules configuration automation and engineered a high-accuracy RAG pipeline with cross-encoder re-ranking. Designed the Upgrade Platform for BIG-IP Next using Golang, Docker, and Kubernetes, reducing control plane upgrade cycles by 90%.
Education
Degrees, certifications, and relevant coursework
Uttar Pradesh Technical University
Bachelor of Technology, Information Technology
2002 - 2006
Pursued a Bachelor of Technology in Information Technology from Uttar Pradesh Technical University, graduating in 2006.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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