Rafia's CV
Rafia Jahangir
JUNIOR AI ENGINEER
Profile summary
Reliable Junior AI Engineer with 2 years of experience across 2 organizations. Skilled in backend engineering, API development, and AI workflow integration. Focused on delivering scalable software solutions and maintaining reliable system architecture.
Career highlights
Backend AI Engineering: Managed backend engineering operations at FLYRANK, overseeing the development of embeddable widgets, tenant isolation protocols, and AI service integrations.
AI Workflow Development: Built event-driven AI workflows using Inngest for asynchronous lead processing while integrating LLM services into backend systems.
Software Feature Development: Developed and maintained software features using web development technologies, contributing to designing, implementing, testing, and debugging application functionality at Selltime.
Technical Certification Focus: Completed Anthropic courses including Claude 101, Claude Code 101, and AI Fluency to build foundational knowledge.
Key skills
Professional experience
Managed backend engineering operations, overseeing the development of embeddable widgets and lead-capture platforms. Directed system architecture decisions, tenant isolation protocols, and AI service integrations.
- Developed FastAPI REST APIs for an embeddable widget and lead-capture platform.
- Built event-driven AI workflows using Inngest for asynchronous lead processing.
- Implemented validation, spam protection, database models, and tenant isolation.
- Used Docker for containerization and reproducible backend environments.
- Integrated AI and LLM services while debugging end-to-end backend workflows.
Executed backend APIs, databases, and frontend components to build applications spanning the 2024 to 2026 period. Collaborated alongside team members to design, implement, test, and debug application functionality.
- Developed and maintained software features using web development technologies.
- Troubleshot issues with team members to deliver reliable software solutions.
Projects
Designed and developed a mobile application and AI model for nutrient management and monitoring. Implemented responsive UI and database integration. Improved user accessibility through a mobile-first approach.
Flutter Dart Firebase Githhub Yolo CNN Flaskhttps://github.com/Rafiaa01/nutri_senseA full-stack AI chatbot with Flutter frontend and Flask backend. Chat with an AI assistant powered by Groq (llama-3.3-70b-versatile). Web search with multi-source verification. Memory: remembers user facts/preferences across sessions. Tool calling: Calculator, Weather, Currency converter, Date/Time, Web Search, Document reader. Attachments: images and files with text extraction
llama Mysql Flutter Githhubhttps://github.com/Rafiaa01/AI_ChatbotDeveloping an intelligent recruitment system using Large Language Models. Applying semantic similarity and transformer-based embeddings for candidate-job matching. Exploring explainable AI techniques for transparent hiring recommendations.
Python LLaMA Hugging Face Transformers Flask PostgreSQLhttps://huggingface.co/spaces/rafia87998/ResumeReaderDeveloped an AI-powered application for detecting plant diseases using machine learning techniques. Integrated image processing and predictive models for disease identification. Focused on improving agricultural decision-making through intelligent automation.
Python Machine Learning Flutter CNN Flaskhttps://github.com/Rafiaa01/rafiapythonEducation
- GPA: 3.79 / 4.0
- MARKS:835/1100