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sandeep_daki

Sandeep Daki

@sandeep_daki

AI And ML ENGINEER

India
Engels, Hindi, Gujarati, Russisch
Sommige informatie wordt in het Engels weergegeven.
Over mij
I am an AI & Machine Learning Developer with 2+ years of hands-on industry experience in designing, developing, and deploying intelligent solutions. I hold a Master’s degree in Computer Science, which gives me a strong foundation in algorithms, data structures, and advanced computing concepts. Currently, I am working with real-world AI/ML projects involving machine learning models, deep learning, data analysis, automation, and AI-powered applications. I focus on building scalable, efficient, and accurate solutions tailored to business needs. My goal on Fiverr is to deliver high-quality work.... Lees meer

Skills

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sandeep_daki
Sandeep Daki
offline • 

Bekijk mijn diensten

AI-integraties
I will build advanced n8n automations, I am official n8n creator
VanafUS$ 90 / projectMeer informatie

Werkervaring

AI & ML ENGINEER

o • Fulltime

Jan 2024 - Present • 2 yrs 4 mos

|| Automation Engineer – n8n (Top 5 Worldwide Creator) || Recognized as one of the Top 5 n8n Creators Worldwide for building advanced AI-powered automation workflows. Designed and deployed AI-driven automation pipelines integrating LLMs, APIs, and real-time data sources. Automated customer feedback analysis using LLMs to classify sentiment (positive/negative), extract key issues, and auto-notify support teams with suggested responses. Built voice-based virtual agents using VAPI, enabling real-time, personalized voice interactions. Created end-to-end business email automation, including reading, summarizing, and generating intelligent email replies using AI models. || AI & ML Project || Designed and developed intelligent AI agents using Python, LangChain, and Large Language Models (LLMs) to handle complex, real-world conversational workflows. Built high-performance, scalable REST APIs using FastAPI to support real-time user interactions and AI-driven responses. Developed a world-first AI-powered Flight Booking Assistant, enabling users to search and book flights through natural language conversations. Implemented Retrieval-Augmented Generation (RAG) by vectorizing airline FAQs, policies, and documents using Jina AI embeddings and vector databases for accurate, context-aware responses. Enabled advanced natural-language filters such as date, price range, airline, destination, and baggage rules, improving user experience significantly. Stored structured query logs and conversation context in PostgreSQL and vector databases, enabling high-speed semantic search. Improved AI response relevance by over 90%, reducing manual customer support effort. Integrated Google APIs to provide real-time hotel,and location-based travel recommendations. Applied advanced prompt engineering and context management techniques to ensure consistent and accurate AI outputs. Developed AI-driven systems to automate travel planning, reducing manual planning time by up to 80%.