Piyush Mujavadiya — Co-Founder
I am a product-first engineer with a builder’s mindset who loves tinkering with systems. I design and build systems where data, distributed computing, and machine learning converge to deliver production-grade AI. Over the past 8+ years, I’ve built real-time streaming pipelines, lakehouse architectures, recommendation engines, and the operational scaffolding that takes models from research to reliable, high-throughput production environments. What I focus on • Architecture & Data Systems: Streaming systems and lakehouse platforms processing terabytes of data daily, feature pipelines that transform raw data into decision-ready signals built for latency, scale, and cost discipline. • Operational AI (ML → GenAI): From training to deployment and monitoring evaluations, drift detection, CI/CD, and agent lifecycle management (AgentOps) for modern autonomous workflows. • Backend & Reliability: Durable APIs and services on distributed systems, with observability, failure isolation, and SLOs that keep systems online when it matters most. I care about building trustworthy, observable, and well-governed AI systems that teams can ship fast, measure honestly, and scale responsibly.
Stackforce AI infers this person is a Backend-heavy Data Engineering expert in AI and distributed systems.
Location: Indore, Madhya Pradesh, India
Experience: 8 yrs 9 mos
Career Highlights
- Expert in building production-grade AI systems.
- Proficient in real-time data processing and lakehouse architectures.
- Strong background in operational AI and machine learning deployment.
Work Experience
Stealth Startup
Founding Engineer (7 mos)
apna
Lead Data Engineer (2 yrs 2 mos)
Senior Data Engineer (1 yr 1 mo)
TO THE NEW
Senior Data Engineer (9 mos)
Rakuten Symphony
Big Data Engineer (4 yrs 2 mos)
Education
NanoDegree at Udacity
Bachelor of Engineering (B.E.) at IES IPS academy