class ChethanKMurthy:
def __init__(self):
self.education = "B.Tech CSE (AI & ML) @ Dayananda Sagar University · SGPA 9.36"
self.location = "Bengaluru, India 🇮🇳"
self.focus = ["LLMs", "Agentic AI", "Quant Research", "Applied ML"]
self.past = "Quant Research Analyst @ Carlsen Capital"
self.fun_fact = "Aspiring filmmaker. Storyteller in code and cuts."
def current_obsession(self):
return "Agentic LLM systems, multi-step reasoning, and quant strategy modeling.""From
git initto peer review — I build, ship, and publish."
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Q1 2024 ROI NIFTY50 trading bot |
Throughput gain Monte Carlo CVA engine |
SGPA B.Tech AI & ML |
Researchers led cross-functional team |
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Peer-reviewed papers IEEE & Taylor & Francis |
Best Paper Award ISCMR 2024 |
Zerodha Varsity Quiz 1st of 1500+ |
Book chapter AIoT for Smart Agriculture |
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Gemini-powered agentic LLM with dynamic prompt construction, conversational state tracking, and modular tool-use architecture. Built for adaptive multi-turn Socratic reasoning across diverse learner profiles. |
Production-grade Credit Valuation Adjustment engine. Hull–White stochastic model + Sobol QMC + Numba-JIT kernels = 15–40× faster than baseline. Deployed via FastAPI + Streamlit dashboard.
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Generative Adversarial Networks simulating future financial scenarios for HDFC, SBI, ICICI. Combined with DCF modeling to surface optimal investment allocation across major Indian banks.
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Best Paper Award winner. Comparative analysis of ML models for early lung cancer detection. Published in Taylor & Francis (ISCMR 2024).
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NLP-driven mental wellness companion: 24/7 AI support, early intervention signals, and data-driven insights for promoting mental well-being.
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ARIMA-based ML model fitted on historical fund performance of Indian Gold-ETFs to construct optimal allocations for maximized risk-adjusted returns.
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Input your river cards and the table cards to compute your real-time probability of winning the hand.
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A thrilling JS arcade game where you dodge planets and survive in space. Unlimited distance, limited lives.
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Jan 2024 – Jun 2024 · Bengaluru, India
- Designed and back-tested algorithmic trading strategies on NIFTY50 options, achieving 81% returns in Q1 2024 through feature engineering and statistical pattern discovery.
- Optimized derivative strategies (Iron Condor, Calendar Spread, Vertical Put) via volatility surface modeling and correlation structure analysis to improve risk-adjusted Sharpe ratio.
- Built a reinforcement learning framework for real-time portfolio optimization on high-dimensional financial datasets.
- Led a cross-functional team of 6 researchers from IIT Kanpur, driving model evaluation and end-to-end deployment of ML models into proprietary trading systems.
| 📄 | A Hybrid Spiking CNN for Efficient Pathology Classification IEEE Xplore · 2025 |
| 📄 | Security Risk Assessment of WiFi Protocols for Smart Homes Taylor & Francis · 2025 |
| 🏅 | Comparative Analysis of ML Models for Lung Cancer Detection Taylor & Francis · 2025 — Best Paper Award |
| 📘 | From Fields to Data — How AIoT is Reshaping Agricultural Water Use Book chapter · AIoT for Smart Agriculture |
I'm open to collaborations on LLM systems, quant research, applied ML, or anything weird and ambitious. Drop me a line.











