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()
About
I'm Dnyanesh. I build AI systems that hold up in production, trade markets with systems I write myself, and run CyberCore from India.
No big company pedigree. No structured career path. Just ten years of building, breaking, learning, and shipping across AI, markets, and startups.
My life principle is one word, tattooed on my left forearm: HUSTLE.
Read the full story →Built ShoppingDNA in 10th grade. First real thing I made from scratch, and my first money earned online.
Crude oil on MCX. Took ₹10K to ₹1L in months. Also blew up accounts. The expensive lessons are the ones that stick.
Started CyberCore with no idea what I was doing. Figured it out anyway.
Building on GPT-3 with a Melbourne startup before most people had heard the word LLM.
Graduated with honours in AI and ML. Already shipping AI systems for real businesses.
CyberCore growing. Quant systems on the side. Writing in public. From India, for the world.
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. In the markets since I was 17: commodities, crypto, equities, F&O.
Ten years of founding, shipping, and breaking things. Built my first venture in 10th grade. CyberCore is what that decade led to.
Selected work
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 →Contact
I take consulting projects for startups that want real AI in production. Not pilots, not POCs, real systems. Also open to full-time roles where I can build seriously. Best way to reach me is a short email with your problem. I reply within 24 to 48 hours.
Common questions
Agentic AI systems for startups. LangGraph pipelines, RAG systems, CRM automation, document intelligence, and internal ops tools — the kind that replace real manual work and stay running after handoff. Not chatbots or demos.
CyberCore is the AI studio Dnyanesh founded in 2019. It builds agentic AI systems for 10 to 50 person startups. Based in India, works with clients globally.
Send a short email to chandewardnyanesh@gmail.com with the problem you want to solve. He replies within 24 to 48 hours. Typical projects take 4 to 12 weeks and range from $5K to $25K depending on scope.
Agentic AI is when multiple AI components work together to complete a task end to end — not just answering a question, but actually doing the work: gathering information, making decisions, taking actions, and looping until the job is done. Think of it as automation that can handle the messy real-world parts of a workflow.
Pune and Nagpur, Maharashtra, India. He works with startups in India, Australia, and globally.