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Building real-time AI: distributed CX pipelines, low-latency voice agents, and LLM-driven analytics at production scale.
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AI engineer with a systems mindset. I build real-time AI infrastructure — from streaming pipelines to LLM analytics to conversational voice agents — and I'm happiest when latency, correctness, and resilience all have to hold at once.
I'm an AI Engineer at Zykrr where I design real-time systems that turn live customer feedback into structured insight. My day-to-day spans Apache Kafka pipelines moving 34.56M+ events/day from PostgreSQL to ClickHouse, LLM-powered analytics (text mining, issue detection, summarization), AI-driven survey builders, and low-latency STT → LLM → TTS voice agents on LiveKit. I lean toward fault-tolerant design — Kubernetes, DLQs, recovery — and care about latency, accuracy, and what happens when production breaks at 3am.
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Institute of Engineering and Technology, Lucknow
B.Tech, Computer Science and Engineering
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# StratAGI
> Autonomous Multi-Agent Business Strategy Platform
A multi-agent AI system using CrewAI for autonomous research and strategy generation workflows. Reduced redundant API calls by 30% through optimized orchestration and shared memory design. Backed by FastAPI services and shipped in containers.
# WealthWise
> Full-Stack AI Finance Platform
A full-stack AI finance platform for automated expense tracking, budgeting, and financial insights. Implements LLM-based receipt parsing to extract structured data from unstructured inputs, with real-time recurring transactions, alerts, and reporting workflows.
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{
"name": "Shailesh Singh",
"role": "AI Engineer · Real-time AI Systems",
"email": "ss.forcoding@gmail.com",
"phone": "+91-6201237193",
"location": "Gurgaon, Haryana, India",
"timezone": "Asia/Kolkata (IST)",
"status": "open to opportunities"
}