Machine Learning, Agile Methodologies, Python, Cloud Computing, Data Analysis, Statistical Techniques, generative AI, business analysis techniques

Open Source, Machine Learning, Big Data, Python, LLMs, Generative AI models, numerical programming frameworks

model development , Autoencoders, Deep Learning, Pytorch, Python, Logistic Regression, Machine Learning, Bam, Clustering, CRAM, scikit-learn, genomic feature matrices, random forests, SVMs, CNNs, FASTQ, dimensionality reduction, feature-selection methods, Validation, data preprocessing, Transformers, next-generation sequencing, performance evaluation, attention-based models, gradient boosting, VCF, feature engineering

Machine Learning, Data Science, Python, Sql, ML platforms, large-scale data, Statistics

Retrieval-Augmented Generation (RAG) pipelines, Git, Powerbi, Python, Sql, Statistics, Streamlit, Multi-agent systems

three.js , Data Manipulation, Machine Learning, Tensorflow, Opengl, Python, Boolean operations, AI Agents, 3D geometry, deep learning frameworks, geometric transformations, Ai, Claude, vector graph databases, Torch, CGAL, vector math, Blender, RAG, Rivet, OpenAI, coordinate systems, Reporting

Python, LangChain, Fine-Tuning, Embeddings, LLMs, ADK, agentic frameworks

Machine Learning, Advanced Analytics, Python, Sql, Computer Vision, Generative AI, Optimization Techniques