Experience
AI Engineer (LLM - Agentic AI)
Dataropes.ai🔗
2025 - Present- Design, develop, and deploy end-to-end Generative AI solutions tailored to client requirements.
- Implement and optimize autonomous agent systems using frameworks like LangGraph, CrewAI, and AutoGen.
- Develop Retrieval-Augmented Generation (RAG) pipelines to enhance language model responses with specific knowledge bases.
- Build and maintain scalable APIs (using FastAPI/Flask) for serving AI models and applications.
- Utilize containerization (Docker) and cloud platforms (AWS/GCP - specify if known) for deploying and managing AI infrastructure.
- Contribute to the fine-tuning and evaluation of Large Language Models (LLMs) for specific tasks.
- Collaborate with product managers and clients to translate business needs into technical AI solutions.
- Integrate monitoring and logging tools (like LangSmith) to track and improve AI system performance.
- Stay abreast of the latest research and advancements in Generative AI, agentic AI, and MLOps.
Key Technologies/Skills:
Generative AIAgentic AILLMsLangChainLangGraphCrewAIPythonFastAPIFlaskRAGDockerAWSGCPMLOpsAPI DevelopmentLangSmith
AI/ML Engineer
Fiverr
2024 - Present- Developed and deployed custom LLM-powered chatbots and AI agents for diverse client needs.
- Specialized in applying agentic workflows (using frameworks like LangGraph, CrewAI) to automate business processes.
- Implemented RAG (Retrieval-Augmented Generation) systems to enhance chatbot knowledge with custom documents.
- Performed data analysis and built ML models to extract insights and solve specific business problems.
- Collaborated with clients to understand requirements and deliver tailored AI solutions effectively.
Key Technologies/Skills:
Generative AILLMsAgentic AILangChainLangGraphPythonFastAPIDockerAWSData Analysis
AI Intern (AI Bootcamp)
SkyElectric - SkyLabs - GIKI🔗
2024- Participated in an intensive AI bootcamp focused on Deep Neural Networks (DNNs) and practical machine learning applications.
- Gained hands-on experience developing and implementing neural networks using Python and relevant libraries (e.g., TensorFlow/Keras).
- Successfully completed projects involving the creation of AI-driven applications and potentially AI-powered games.
- Explored various DNN architectures, training methodologies, and model evaluation techniques.
- Developed problem-solving skills by tackling complex AI challenges within project constraints.
- Collaborated effectively with fellow participants on group projects, enhancing teamwork and communication.
- Received mentorship and guidance from instructors/experts in the field of AI/ML.
Key Technologies/Skills:
Deep LearningMachine LearningNeural NetworksPythonTensorFlowAI ProjectsBootcampTeamworkProblem SolvingTransformersComputer VisionNLPReinforcement LearningGenerative AIAI-Powered GamesAI ApplicationsAI/ML Fundamentals
Career-Prep Fellow
Amal Academy🔗
2024- Completed a rigorous 3-month career development fellowship focused on professional skills, problem-solving, and teamwork.
- Managed demanding weekly projects, including fundraising and group problem-solving tasks.
- Developed data analysis skills and applied them in project work.
- Enhanced communication, leadership, and collaboration abilities in a dynamic group setting.
Key Technologies/Skills:
Professional DevelopmentTeamworkProblem SolvingData Analysis (Intro)