I am an AI and Automation Engineer with over six years of experience building intelligent, scalable software solutions using Python, machine learning, generative AI, and backend technologies.
I specialize in developing production-ready AI applications, including LLM-powered systems, Retrieval-Augmented Generation (RAG) chatbots, AI agents, semantic search platforms, and voice automation solutions.
I have strong hands-on experience designing REST APIs, data pipelines, vector-search workflows, and enterprise integrations with FastAPI, LangChain, LangGraph, FAISS, Pinecone, and cloud-based APIs.
I have led AI engineering teams and owned initiatives from technical strategy and architecture through deployment. My work emphasizes engineering quality, scalability, automation, testing, and measurable business efficiency.
I have delivered solutions across customer engagement, appointment automation, CRM and ERP synchronization, payment workflows, business intelligence, predictive analytics, and NLP. I am open to remote opportunities where I can lead and build impactful AI systems.
Led AI, generative AI, LLM, RAG, and automation initiatives from strategy through production delivery. Defined technical architecture, engineering standards, and AI product roadmaps for scalable intelligent systems.
Managed teams building AI agents, chatbots, and workflow automation solutions. Designed production-ready applications using Python, FastAPI, LangChain, LangGraph, and vector databases while partnering with clients and stakeholders.
Led the development of machine learning, NLP, generative AI, and automation solutions. Managed AI engineers delivering scalable APIs, data pipelines, and AI-powered applications.
Designed RAG, semantic-search, and LLM-based solutions and improved operational efficiency through workflow automation. Established standards for code quality, scalability, testing, and deployment.
Developed machine learning, NLP, predictive analytics, and intelligent-search solutions for business use cases. Built production-ready Python and FastAPI APIs and integrated AI capabilities into business applications.
Created models using Scikit-learn, XGBoost, Pandas, and NLP techniques. Designed data pipelines supporting model development, evaluation, and predictive analytics.
Bachelor of Science, Computer Science
Comprehensive foundation in software development, programming, databases, algorithms, and computer science fundamentals.
Master of Science, Data Science
Advanced study in data science, machine learning, statistical analysis, data mining, and predictive analytics.
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