Thousifa User
@thousifauser
Full-Stack GenAI/AI/ML engineer building end-to-end RAG and agentic systems with production-grade MLOps.
What I'm looking for
I’m a Full-Stack GenAI/AI/ML Engineer with hands-on experience designing, developing, and deploying machine learning and generative AI solutions. I build RAG and agentic AI applications end-to-end using LangChain and GPT-4 (Azure/AWS), and I focus on secure, responsive user experiences with React/Next.js and FastAPI/Python.
In production work, I own MLOps across AWS and Azure (SageMaker, EKS/AKS, MLflow, CI/CD) and deliver Responsible AI compliance through prompt safety, privacy controls, and detailed usage logging. I’ve reduced answer latency by 35% and minimized hallucinations by 28% through optimized RAG architecture and prompt tuning, and I’ve improved forecast accuracy by 15%.
Experience
Work history, roles, and key accomplishments
Developed full-stack GenAI web applications with React and FastAPI, integrating Azure OpenAI for real-time document summarization and conversational Q&A. Built RAG and agentic workflows with LangChain, reducing answer latency by 35% (p95 1.8s→1.2s) and minimizing hallucinations by 28%.
Designed and built LLM applications with GPT-4 (AWS Bedrock) and LangChain for summarization, contextual search, and virtual assistant use cases. Implemented RAG with FAISS/OpenSearch and orchestrated serverless inference pipelines, reducing processing latency by 40%.
Developed production predictive models using Python, scikit-learn, and XGBoost for forecasting and classification, improving accuracy and reliability. Built end-to-end ML workflows on AWS SageMaker with feature engineering and MLflow-based experiment tracking, deploying via Flask/FastAPI with monitoring for drift and performance.
Education
Degrees, certifications, and relevant coursework
Kent State University
Master's in Computer Science, Computer Science
Completed a Master’s program in Computer Science at Kent State University, finishing in December 2024.
Tech stack
Software and tools used professionally
Apache Spark
AWS Glue
AWS IAM
GitHub
GitLab
Kubernetes
Amazon EKS
Azure Kubernetes Service
GitHub Actions
NumPy
Pandas
PySpark
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Next.js
Databricks
Azure DevOps
JavaScript
Java
Azure Machine Learning
TensorFlow
PyTorch
MLflow
scikit-learn
FastAPI
Grafana
Prometheus
Azure Monitor
Azure Cognitive Search
OpenSearch
AWS Lambda
Serverless
Azure SQL Database
SQL
Amazon SageMaker
Azure Blob Storage
XGBoost
Hugging Face
Qdrant
LangChain
Pinecone
Transform
Agentic
Enhance
Faiss
Availability
Location
Authorized to work in
Job categories
Skills
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