
Syble Jan
@syblejan
I'm building machine learning and LLM systems for classification, retrieval, and computer vision.
What I'm looking for
I'm a final-year Computer Science student building machine learning systems for classification, predictive analytics, and LLM applications. During my AI/ML internship at Developer Hubs, I fine-tuned GPT-Neo-1.3B with LoRA/PEFT to create an empathetic mental health support chatbot.
I've built projects including a bidirectional ASL communication system with 90%+ recognition accuracy, a BERT news classifier reaching 94.9% accuracy, and an LLM ticket classifier that improved top-1 accuracy from roughly 30–35% to 70–80% through QLoRA fine-tuning. I work across preprocessing, training, evaluation, and deployment-ready interfaces using Python, scikit-learn, PyTorch, Hugging Face, LangChain, Streamlit, and Gradio.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
Developer Hubs
Apr 2026 - Jun 2026 (2 months)
Contributed to applied AI/ML projects covering model development, training, and evaluation workflows. Fine-tuned EleutherAI/gpt-neo-1.3B using LoRA/PEFT on the empathetic_dialogues dataset to build an empathetic mental health support chatbot.
Education
Degrees, certifications, and relevant coursework
Sarhad University of Science & Information Technology
Bachelor of Science, Computer Science
Pursuing a Bachelor of Science in Computer Science with an expected graduation in December 2026.
Availability
Location
Authorized to work in
Portfolio
github.com/syblejanSalary expectations
Social media
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