class Aditi:
def __init__(self):
self.name = "Aditi Bhatnagar"
self.role = "ML Engineer · Final Year CSE"
self.location = "India"
self.focus = ["Deep Learning", "NLP", "LLMs",
"Data Analytics", "Cybersecurity"]
self.languages = ["Python", "SQL", "HTML", "CSS"]
self.open_to = ["Internships", "Full-time Roles",
"Research Collaborations"]AI / ML
LLMs & RAG
Frameworks
Data
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AI-powered India economic intelligence platform. LSTM forecasting on 3 years of NIFTY data, FinBERT sentiment analysis on Hindi + English financial news, and a What-If macro simulator.
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Chat with any GitHub repository using AI. Self-RAG agent with hybrid BM25 + vector retrieval, powered by LangGraph, Qdrant, and Groq's Llama 3.3 70B.
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ML-based Network Intrusion Detection System. Ensemble of Random Forest, XGBoost, LightGBM with Isolation Forest anomaly detection and Bayesian fusion scoring.
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Supply chain risk intelligence platform. Interactive trade route mapping, multi-factor risk scoring, disruption simulation with graph analytics, and alternative sourcing recommendations.
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"The best way to predict the future is to build it."
I believe in building things that solve real problems — not just toy projects, but systems that could actually be used. Every project in my portfolio is built with a specific real-world use case in mind, from predicting economic trends to detecting network intrusions.
I approach every problem the same way — understand the domain deeply, choose the right tool, and build something that actually works.
Open to internship and full-time opportunities in Machine Learning, Data Science, and AI Engineering.
