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I am an AI/ML Engineer, Data Scientist, and Open Source Contributor. My foundation is built on Python, SQL, and System Architecture. Currently, I am focused on LLM Optimizationβmaking massive models run on consumer hardware. I don't just use libraries; I debug the mathematics behind them.
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| Project | Domain | Technical Impact | Stack |
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| Mistral7B-BACE-Inhibitors | 𧬠Molecular AI |
Scaffold-Split Generalization. Captured peak ROC-AUC of 0.8034 using LoRA ( |
DeepChem Mistral-7B PEFT
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| Mistral7B-Tox21-Optimization | π§ͺ Cheminformatics | Numerical Stability Engineering. Resolved NaN loss crashes via fp32 upcasting; reached 0.72 ROC-AUC with 8x dynamic oversampling. |
HuggingFace BitsAndBytes LoRA
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| ChemLLM-Tox-OLMo | π§ Multi-Task AI | Instruction Tuning. Adapted OLMo-7B for simultaneous multi-task prediction across 12 toxicological benchmarks using instruction-tuning datasets. |
OLMo-7B DeepChem PyTorch
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| CogniPath Analytics | π« EdTech AI | Predictive Intelligence. OOP-based analytics engine forecasting student burnout using behavioral telemetry and XGBoost pipelines. |
XGBoost OOP Scikit-Learn
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| PropVal-AI Engine | π PropTech | Enterprise Valuation Model. High-variance AVM (Automated Valuation Model) designed for real estate market volatility with robust feature engineering. |
Gradient Boosting Pandas
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