Target roles: Machine Learning Engineer, Data Scientist, Data analyst, Software Engineer, or Backend engineer.
I am a skilled Python programmer with a deep foundation in software engineering, mathematics, and physics. My journey began with a childhood fascination for how the world works, leading me to use programming as a lens to explore complex problems.
I don't just write code; I build systems. From backend APIs using FastAPI to training Deep Learning models for NLP and Computer Vision tasks, I focus on delivering measurable business value. Recently, I've been working commercially to improve the code-generation capabilities of LLMs like ChatGPT and Gemini.
Re-implemented a carbon-box model incorporating the latest IPCC emission scenarios. Predicted global temperatures (2022–2100) based on varying CO2 levels using Python and SciPy.
Read PaperDeveloped a Hybrid Deep Learning model combining LSTM and GRU to predict atmospheric CO2. Achieved accuracy on par with traditional physics-based simulations.
Read PaperImplemented Active Learning, Self-training, and Co-training from scratch. Evaluated their performance on Sentiment Analysis tasks to determine the most computationally efficient method.
Read PaperBuilt a custom library for statistical analysis, including hypothesis testing, frequency distributions, and probability visualization tools. Optimized for performance.
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