
Jesman User
@jesmanuser
I build production-ready RAG, LLM, and applied machine learning systems.
What I'm looking for
I've built a confidence-gated RAG Q&A system for insurance policy documents using LangChain, ChromaDB, and SentenceTransformers. By using a Logistic Regression confidence classifier, I reduced hallucinations from 33.3% to 26.7% while making abstention an explicit design decision.
I've also developed explainable cardiovascular risk prediction and pneumonia detection applications, combining XGBoost, SHAP, CTGAN, ResNet50, Grad-CAM, and Streamlit with AI-generated health guidance.
As an AI/ML Intern at Innovate Intern, I built and optimized a real-time pedestrian detection pipeline using HOG, SVM, OpenCV, and Non-Maximum Suppression. I work primarily in Python and build deployable systems with FastAPI, Docker, AWS, and Git.
Experience
Work history, roles, and key accomplishments
Education
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Karunya Institute of Technology and Sciences
Bachelor of Technology, Computer Science Engineering (AI & ML)
2022 -
Pursuing a B.Tech in Computer Science Engineering with a focus on AI and ML.
Tech stack
Software and tools used professionally
Availability
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Authorized to work in
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