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Hi, I'm Aayush Kumar

Aayush Kumar

Senior ML Engineer specializing in production AI security automation and RAG/agent systems. I build reliable LLM-powered workflows that ship under real constraints—low false positives, tight SLAs, and measurable operational impact.

Most recently, I delivered an agentic security automation pipeline that held false positives under 3%, safely auto-merged 30%+ of remediation PRs, and processed 50+ PRs/week within a 24-hour SLA using retrieval-grounded reasoning, calibrated decisioning, and guardrails.

Previously, I led an LLM-assisted incident intelligence system that reduced hallucinations by 18%, improved detection by 30%, and cut infrastructure overhead (220GB → 52GB memory, 6× lower compute costs) through systematic profiling, optimization, and evaluation-driven iteration.

Impact Highlights

-18%HallucinationsRAG + LLM guardrails tuning
+30%Detection AccuracyISP incident intelligence
Cost Reduction220GB → 52GB memory
80%Adoption RateTop 100 policy recommendations
Data CapacitySpark + K8s architecture
-23%Policy ViolationsGraph-based recommender
aayush@portfolio ~ toolkit
#My daily toolkit
$hypersentry --scan --auto-fix
→ 47 vulnerabilities found, 32 auto-remediated
$python train.py --model rag --optimize memory
→ Peak memory: 52GB (was 220GB)
$kubectl apply -f ml-pipeline.yaml
→ Deployed to 3 regions, 99.9% uptime
#Always shipping, always improving

Education

  • M.S. Computer Science
    University of Illinois Chicago
    Aug 2024 – May 2026
  • B.Tech Information Technology
    Manipal University
    Aug 2018 – Aug 2022

Skills

  • Python, PyTorch, TensorFlow
  • RAG, LangChain, FAISS
  • Kubernetes, Spark, Docker
  • OPA/Rego, AWS, Security ML

Highlights

  • 1 US Patent (Published)
  • 2.5+ years at Zscaler
  • Co-founded HyperSentry
  • 6× compute cost reduction