I build AI systems that hold up in production — not just Jupyter notebooks.
4+ years shipping full-stack systems. The last 2 have been deep in LLM infrastructure: RAG pipelines, multi-agent
orchestration, tool use, memory management, and LLM evaluation. 26+ LLM-backed applications built using LangChain, OpenAI, Llama, and DeepSeek — across real client projects, not side experiments.
My .NET and Azure background means I approach AI engineering with a systems mindset: latency, reliability, observability, and what "production-ready" actually costs.
Things I've shipped that mattered:
→ Real-time analytics SaaS ingesting 4 social APIs with Redis caching under burst load
→ Quiz platform serving 50,000+ concurrent users — monitored with Application Insights, traced failures lie
→ Agentic billing pipeline on Azure Functions — deployed, tuned, still running
→ Multi-tenant SaaS with full CI/CD, RBAC, and ABP.IO
Star of the Year — Toshal Infotech (2023 & 2024).
Targeting: AI Solutions Engineer · Applied AI Engineer · Senior Full-Stack with AI focus
📧 dheergupta35959@gmail.com
🌐 dheergupta.in
