I’m Palden Tamang, a Computer Science graduate and AI/ML postgraduate student focused on applied machine learning, LLM-powered applications, retrieval-augmented generation pipelines, and predictive modeling. I’m currently targeting Data Scientist and ML Engineer opportunities where I can build useful systems with Python, NLP, and deep learning.
Hands-on engineering work rooted in full-stack development, backend APIs, and debugging within a production-oriented team.
A combination of formal computer science training and current postgraduate specialization in artificial intelligence and machine learning.
Coursework includes Big Data, Data Mining, Advanced Python AI & ML Tools, NLP, Cloud Computing, Deep Learning, and AI/ML labs.
Built a strong foundation in computer architecture, database management, network architecture, and practical software development.
Projects that show interest in forecasting, ethical AI analysis, and document-grounded language model systems.
Building a time-series forecasting project using LSTM and benchmarking it against GRU and ARIMA, with planned sentiment analysis integration.
Researching bias, fairness, and wrongful conviction risks in AI-supported criminal justice systems as part of ethics-focused coursework.
Built a RAG pipeline connecting language models with custom knowledge bases using prompt engineering, embeddings, and document retrieval.
A practical toolkit spanning machine learning, data work, backend development, and engineering workflows.
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