ML Engineer | MS Data Science Student @ ITU
🌍 Specializing in LLMs • Computer Vision • Geospatial AI • Remote Sensing
🏆 100% IEEE-GRSS & ICIMOD Scholarship recipient
🚀 Building production ML systems with PyTorch, FastAPI & Docker
building:
- Production ML pipelines with PyTorch & FastAPI
- RAG systems with LangChain & vector databases
- Real-time computer vision applications
- Geospatial deep learning solutions
exploring:
- Multimodal AI (Vision + Language)
- LLM fine-tuning & domain adaptation
- Transformers for satellite imagery
- Model optimization & deployment
MS Data Science Specialization: Geospatial AI, ML, Deep Learning, Remote Sensing |
BS Electrical Engineering Specialization: Signal Processing, Embedded Systems, Control Systems |
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🏆 100% Scholarship IEEE-GRSS & ICIMOD |
📜 Certifications Machine Learning (ITU) |
AI/ML: Deep Learning • Computer Vision • NLP • LLMs
Geospatial: Remote Sensing • SAR Imagery • Climate Monitoring
Production: MLOps • Model Deployment • API Development
Emerging: Transformers • Multimodal AI • Real-time Inference
From hardware to ML: Went from "Why won't this circuit work?" to "Why won't this model converge?" Both answers: Check your connections
Perpetual Learner
Always exploring emerging tech currently diving into multimodal AI and transformer architectures. Research papers and technical blogs are my weekend reads.
Open Source Enthusiast
Believe in learning by building and sharing. Contributing to the ML community through code and knowledge.
Research-Driven Hungry for knowledge reading papers, experimenting with new architectures, and turning ideas into working prototypes.
Tech Meets Creativity Passionate about AI applications in real-world problems—from climate monitoring to accessible healthcare solutions.
Open to collaborations in:
🌍 Geospatial AI & Climate Tech • 🤖 LLMs & Generative AI
📸 Computer Vision Applications • 🚀 Production ML Systems
