AI Systems · Quant Finance · Building
Agentic AI. Quant finance. A decade of building from India to the world. Founder of CyberCore.
from langgraph import StateGraph
# three agents, one pipeline
graph = StateGraph(AgentState)
graph.add_node("extract", extract_agent)
graph.add_node("update_crm", crm_agent)
graph.add_node("follow_up", followup_agent)
# compile and run
app = graph.compile()
What I do
Agentic workflows, LLM pipelines, and production AI for startups. Not demos. Systems that run, scale, and replace real manual work.
Trading systems, algo strategies, and quantitative analysis. Been in markets since I was 17 — commodities, crypto, equities, F&O. I build systems for markets too.
Ten years of founding, shipping, and breaking things. Built my first venture in 10th grade. CyberCore is what that decade led to.
Three agents replacing 8 hours of daily manual CRM work. Transcripts, record updates, follow-ups, all automated.
6 hours of daily manual work reduced to under an hour
Read case study → RAG / Document AIRAG-based system that replaced a 4-person manual document review team with a plain-language query layer.
20 min per document down to under 2 minutes
Read case study → QuantQuant system pulling live market data, running indicator calculations, and generating trade signals with optional execution.
Emotion removed. Strategy defined once, executed every time.
See project →AI Systems
The issues nobody writes about. Real production failures, real fixes. State management, agent loops, retry logic.
Building
Not a listicle. A real accounting of what sticks when you've been at it long enough.
I take consulting projects for startups that want real AI in production. Also open to full-time roles where I can build seriously.