Your last five "AI engineers" shipped demos. I ship systems that run without me.
Guru Prathosh. I build production agentic AI: multi-agent orchestration, cascading fallback, real-time infra, end to end from Next.js to AWS. Not a notebook. Not a wrapper. Systems that hold up when I'm asleep. The thing below is live. Run it.
Most portfolios tell you they can build agents. This one runs one in front of you.
Pick a job. Hit run. Watch the orchestrator spin up agents, route data, fail, and recover. Same architecture I shipped to production. This isn't a video. It's executing in your browser.
↑ Simulation of the pattern, not client data. The pattern is real, it's in production, and I built it alone.
No buzzword theater. Three things, done for real.
Agentic AI pipelines
Multi-agent orchestration with cascading fallback. Tool-calling agents that extract, validate, and handle exceptions, and recover instead of crashing at 2am. Cut manual processing 80%+.
Full-stack infrastructure
Next.js apps and real-time monitoring dashboards on containerized microservices over AWS. Predictive forecasting across distributed, multi-site streams. Built to stay up, not to demo well.
Production data engineering
Medallion architecture (Bronze/Silver/Gold) on PySpark + Databricks for regulated biotech. Audit pipelines that prove integrity at every stage. Compliance isn't a slide. It's in the code.
Where it's already shipped.
Accuris CURRENT
- Building agentic AI systems: multi-agent orchestration, real-time monitoring, predictive forecasting. Full-stack, end to end.
B&B Concrete
- Architected an enterprise agentic automation pipeline with multi-agent orchestration + cascading fallback. 80%+ less manual processing.
- Shipped a full-stack Next.js app with live dashboards and modular tool-calling agents for extraction, validation, exception flows.
- Built a predictive demand forecasting system across multi-site ops and concurrent distributed streams.
- Deployed Docker microservices on AWS for high availability.
Accenture
- Designed a Medallion architecture pipeline on PySpark + Databricks for a biotech client; built audit pipelines + the docs the eng teams ran on.
- Big-data streaming with Kafka and Hadoop; real-time analytics at scale.
GDG on Campus · Headstarter · Reach Skyline
- Led Google Cloud workshops; SWE fellowship shipping real apps; ML intern building computer vision + LLM features for edtech.
Decentralized AI Computing with IPFS
B.Tech, Artificial Intelligence
- Google Cloud Essentials
- Pub/Sub Skill Badge
- Agentic AI development
- Automation
- Data intelligence
I'm picky about problems. Bring me a hard one.
If you're shipping real AI and tired of people who can only talk about it, let's go. Tell me the problem in two lines. I'll tell you straight if I'm the right person, and straighter if I'm not.