"At the intersection of mathematics, security, and performance engineering."
I'm a developer working where ML Security, Quantitative Finance, and High-Performance Systems collide. I turn rigorous mathematical theory into production-grade, battle-tested systems — and I love every step of that process.
- 🔭 Currently: Adversarial ML for financial models & LLM red-teaming
- 🌱 Exploring: Stochastic modeling, HFT infrastructure & certified robustness
- 🛡️ ML Security: Attacks, defenses, differential privacy, prompt injection
- 📈 Quant Finance: Stat arb, factor modeling, options pricing, order-book microstructure
- ⚡ Systems: Low-latency pipelines, execution engine design, memory-efficient data structures
- 📫 Contact: jdeepb34@gmail.com
- ⚡ Fun Fact: My codebase often reads like a research paper — math first, code second!
class BJnyanadeep:
def __init__(self):
self.name = "B Jnyanadeep"
self.location = "India 🇮🇳"
self.languages = ["Python", "C++", "Java", "SQL"]
self.current_research = {
"ml_security": "Adversarial robustness of financial ML models 🛡️",
"quant": "Alpha signals via NLP + order-book microstructure 📈",
"systems": "Low-latency data pipelines & execution engine design ⚡",
}
self.ml_security_stack = {
"attacks": ["FGSM", "PGD", "C&W", "Model Inversion", "Membership Inference"],
"defenses": ["Adversarial Training", "Certified Robustness", "Differential Privacy"],
"llm_sec": ["Prompt Injection", "Jailbreaking", "Red-Teaming", "Fingerprinting"],
}
self.quant_stack = {
"math": ["Stochastic Calculus", "Linear Algebra", "Probability", "Time Series"],
"tools": ["NumPy", "Pandas", "SciPy", "QuantLib", "Backtrader"],
"strategies": ["Stat Arb", "Factor Modeling", "Options Pricing", "Backtesting"],
}
self.competitive_coding = {
"leetcode": "425+ solved | Rating 1500+ | 100+ day streak",
"hackerrank": "5 Stars | Problem Solving Domain",
"github": "500+ contributions | 50+ repositories",
}
self.principles = [
"Design for scale — optimize for latency",
"Security-first, performance always",
"Test-driven, benchmark everything",
"Clean abstractions over clever hacks",
]
def say_hi(self):
print("Thanks for stopping by! Let's connect and build something impactful. 🚀")
me = BJnyanadeep()
me.say_hi()
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| Platform | Stats |
|---|---|
| 🟡 LeetCode | 425+ Problems Solved · Rating 1500+ · 100+ Day Streak |
| ⭐ HackerRank | 5 Stars · Problem Solving Domain |
| 🐙 GitHub | 500+ Contributions · 50+ Repositories |