🚀 AI Research | Software Engineering | Intelligent Systems Development
🎓 AI enthusiast with a Master’s in Artificial Intelligence and a deep passion for building intelligent systems for the real world. I’ve engineered Transformer-based models for radio map estimation 📡, built and deployed chatbots using ViT and custom NER pipelines, and published peer-reviewed research at IEEE.
☁️ Experienced in designing secure, scalable AI systems on AWS—hands-on with SageMaker, S3, IAM, and containerized MLOps workflows. I focus on resource-efficient models that run smoothly on CPUs—ideal for lightweight production-grade assistants 🤖💬.
📊 My work blends ML modeling, data cleaning, and pipeline automation—whether it's enhancing radio-map estimation with Deep Progressive Networks 🛰️ or building Kafka-powered YouTube analytics pipelines 📊. Always curious, always building!
⚙️ I thrive at the intersection of ML, cloud, and software engineering—always learning, always building. Let’s connect and geek out on AI, cloud, or anything in between! 🚀🔍
Languages & Frameworks
Python • PyTorch • TensorFlow • FastAPI • SQL • JavaScript • Bash
Machine Learning & AI
scikit-learn • Transformers (HuggingFace) • U-Net • LocFormer • RAG • BERT
Data & Visualization
Pandas • NumPy • Matplotlib • Seaborn • Power BI • Streamlit
Big Data & Cloud
Apache Kafka • Spark • Azure • AWS • Snowflake
Tools & DevOps
Git • GitHub • Docker • Linux • VS Code • Jupyter
Other Tech
MongoDB • PostgreSQL • Nginx • LangChain • SERP API • Markov Decision Processes
- 📶 LocFormer: A Transformer-based model to enhance transmitter localization in wireless radio maps.
- 📍 DPN-RME: Deep Progressive Networks for improved Radio Map Estimation, published at IEEE MIPR 2024.
- 🧠 Research Companion: A Streamlit tool integrating Gemini Pro and SERP API for intelligent academic paper with Langchain.
📧 Email: jashia.jm@gmail.com
🔗 LinkedIn: linkedin.com/in/jashia-m
🌐 Portfolio: jashia333.github.io