Himanshu User
@himsin
Backend engineer building distributed systems and agentic LLM platforms for measurable business impact.
IndiaWhat I'm looking for
I’m a backend engineer with 5+ years of experience building distributed systems and agentic AI platforms. I’ve delivered systems that enabled $80M+ annual revenue impact and saved 30k+ manual hours through automation and scalable backend architecture.
I’ve led multi-agent and LLM integrations end-to-end, including orchestrations built on internal agent frameworks with memory-aware subagents, persona-specialized delegation, and depth-limited recursive coordination for long-running reasoning workflows. I also built multi-turn reasoning workflows using Gemini APIs with native function-calling support to power autonomous engineering triage and workflow automation.
On the infrastructure side, I’ve architected and deployed distributed data pipelines aggregating 30+ data sources, and engineered backend automation and notification systems supporting optimization workflows across 1,000+ partners. I bring technical leadership across cross-functional delivery—driving architectural direction, code quality, and modernization initiatives that removed 50K+ lines of deprecated code while strengthening privacy and compliance controls.
Experience
Work history, roles, and key accomplishments
Developed multi-agent orchestration and multi-turn reasoning workflows using Gemini APIs with function calling for autonomous engineering triage and workflow automation. Architected distributed data pipelines aggregating 30+ sources, enabling $80M incremental annual revenue and saving 30k+ manual hours, while building backend automation and notifications for 1,000+ advertising partners.
Software Engineer
KukuFM
May 2022 - Jun 2022 (1 month)
Designed and documented backend APIs for orders and payments, enabling secure and scalable transaction workflows for the mobile platform.
Built full-stack internal web applications with React, REST APIs, and MySQL to optimize HPC job prioritization workflows. Improved analysis efficiency by 90% by creating a data ingestion and monitoring pipeline using Perl and MySQL, delivering real-time operational visibility via Splunk dashboards.
Education
Degrees, certifications, and relevant coursework
BMS College of Engineering
Bachelor of Engineering, Computer Science Engineering
Grade: 8.34 / 10 (CGPA)
Earned a B.E. in Computer Science Engineering at BMS College of Engineering. CGPA: 8.34/10.
Stanford University (Coursera)
Machine Learning & Deep Learning Specialization, Machine Learning
Completed the Stanford Machine Learning and Deep Learning specialization on Coursera.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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