SPANDAN-OS v2.1.0  | 
DR. SPANDAN MISHRA
[ AI researcher · data science leader · Ph.D. Industrial Engineering ]

guest@spandan ~ $ whoami

Dr. Spandan Mishra — Data Science Leader & AI Researcher at Palo Alto Networks. Ph.D. in Industrial Engineering. I build ML systems that solve hard, real-world problems: from multi-agent LLM pipelines and context engineering to Bayesian inference and structural health monitoring. Drawn to the frontier where statistics meets deep learning.

guest@spandan ~ $ ls --skills
Python / PyTorch
95%
LLMs / Agents
90%
Bayesian Stats
88%
Deep Learning
85%
C++ / Systems
70%
Data Engineering
80%
guest@spandan ~ $ ls ./projects
Multi-agent document evaluation pipeline. Three specialized AI agents — Researcher, Analyzer, Judge — score your docs against industry benchmarks. Runs fully local via Ollama.
CrewAIOllamaLlama 3.1Python
Implementation of the ACE loop — a continuous chat system that builds a live JSONL Playbook, using FAISS semantic retrieval and reflection to grow smarter with every interaction.
StreamlitFAISSOpenAIPython
Sequential Monte Carlo particle filter for predicting remaining structural life using the Pari–Erdogan fatigue law. Applied to structural health monitoring (SHM).
PythonBayesianSHM
Applying deep neural networks to Structural Health Monitoring — a domain previously limited by scarce labeled data. Explores transfer learning and data augmentation strategies.
PyTorchDeep LearningSHM
Twitter data-mining pipeline with LSTM-based text generation. Trained on tweet corpora and served via a Flask web app — one of the earlier explorations in NLP.
LSTMNLPFlaskPython
Genetic Algorithm library written in Modern C++. Clean, header-based implementation designed for optimization problems, built for performance and extensibility.
C++OptimizationAlgorithms

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