

Strategic and hands-on engineering leader with 20+ years of proven success delivering enterprise-grade software solutions across IBM Mainframe, Pega, and MuleSoft platforms. Energetic and innovative Generative AI Engineer eager to leverage a profound
background in AI, specializing in vector databases, LLM frameworks, and cloud
deployments. Aims to apply technical skills and creativity in developing state-of-the-art
AI solutions within a dynamic team setting.
Programming Languages: Python● Frameworks & Tools: TensorFlow, PyTorch, LangChain,LlamaIndex,Streamlit,Flask● Generative AI Technologies: Open-source and paid LLM models (Llama2, Mistral,OpenAI,Google Gemini Pro)● Vector Databases: ChromaDB, Pinecone● Database Management: Experience with DataStax Cassandra DB in production environments, Mysql, Mongodb● Deployment Platforms: AWS Bedrock, AWS (EC2, Lambda), Azure Functions, Hugging Face Spaces● AI/ML Techniques: Fine-tuning with custom data, vector embedding, NLP, neural network optimization,MLOPS, Dockers,Kubenetes● Soft Skills: Analytical thinking, problem-solving, teamwork, effective communication