I build Generative AI and Agentic AI products end to end. Currently architecting AIRA at OVE, a real time voice interview agent live in production for clients in the US and global EdTech.
I'm Yash. I build AI products that ship to real users, not slide decks. For the last 2.8 years I've been working at the intersection of LLMs, agents, and real time systems.
Right now at OVE I'm building AIRA, a voice AI that conducts live interviews for US and global EdTech clients. Before that, at AGL-Hakuhodo, I built RAG pipelines, LangChain agents, and predictive models that pushed team efficiency up by 90%.
On the side I co-founded Engineer Being, a channel and community where we break down how production AI systems actually get built. Not tutorials. Not hype. Just what works.
I move comfortably across the full stack: data pipelines, model layer, APIs, deployment, and frontend. Mostly Python and FastAPI, increasingly Kubernetes and MLOps. I'm currently growing into DevOps and MLOps engineering as a parallel track.
AIRA conducts live voice interviews end to end. It handles resume and JD parsing, ATS matching, candidate shortlisting, the actual voice conversation, real time face proctoring via BlazeFace, and post interview scoring across five dimensions.
Deployed for City Home (Florida's top furniture retailer) and GUS (global schools group). Multi tenant. Multi vertical. Replacing manual HR screening at scale.
Also shipping a Multimodal Knowledge Graph pipeline. Scanned PDFs and newspapers in, structured Neo4j graphs out, 85 to 94% extraction accuracy.
A YouTube channel and community I co-founded for people learning to actually build production AI. We break down voice agents, RAG, MLOps, deep learning, and the messy middle of shipping real systems.
I'm currently open to AI Engineer, GenAI Engineer, ML Engineer, and MLOps roles. Immediate joiner, serving notice. Also up for collaborations and Engineer Being guest spots.