AI Discharge Planning Agent (Healthcare AI)
Summary
Developed an AI-powered discharge planning assistant to streamline healthcare workflows, analyzing patient information and generating care recommendations.
Highly skilled AI/ML and NLP practitioner with proven expertise in developing intelligent systems for healthcare AI, sentiment analysis, and workflow automation. Proficient in Python and modern ML tools, I leverage comprehensive training in NLP, model deployment, and conversational AI to deliver data-driven solutions. Eager to apply AI/ML, NLP, and automation skills to Omdena's CivicAI Bhutan project, focusing on impactful voice-first and multilingual public sector solutions that enhance accessibility and service delivery.
Higher National Diploma (HND)
Science Laboratory Technology (Biochemistry Option)
Post Graduate Diploma
Education (PGDE)
Issued By
3MTT / DeepTech
Issued By
Zindi
Python, JavaScript, React, Pandas, NumPy, Scikit-learn, NLTK, TF-IDF, Streamlit, Supabase, Git/GitHub.
Natural Language Processing (NLP), Sentiment Analysis, Text Classification, Data Preprocessing, Prompt Engineering, Conversational AI Concepts, Workflow Automation, Machine Learning Model Evaluation, Multilingual NLP.
Matplotlib, Seaborn, WordCloud, Data Analytics, Dashboard Development.
Streamlit Deployment, Google Colab, GitHub Collaboration, Agile Team Collaboration.
Summary
Developed an AI-powered discharge planning assistant to streamline healthcare workflows, analyzing patient information and generating care recommendations.
Summary
Built a large-scale sentiment analysis pipeline to analyze over 148k Reddit posts related to mental health discussions, generating actionable insights.
Summary
Developed and deployed an NLP-based sentiment classification model for dental clinic reviews, achieving high accuracy.
Summary
Developed a real-time sales tracking application to enhance operational visibility and reporting efficiency for marketers.
Summary
Developed an offline-first educational progressive web app (PWA) for exam preparation, focusing on accessibility in low-connectivity environments.