Wajeeha B.
AI Engineer | Machine Learning & Generative AI Specialist | LLM & RAG
AI Engineer specializing in Machine Learning, Generative AI, and Large Language Model (LLM) systems. If you have an existing SaaS product or an idea for a new one, send me the current stack, the problem you are solving, and what you want AI to do. I will assess the requirements, identify the right implementation path, and tell you exactly where I would start. I design and deploy production-grade AI solutions ML models, GPT-powered applications, RAG systems, and AI automation workflows that help businesses reduce manual effort, increase speed, and unlock data-driven decision-making. 🔹 Core Expertise Experienced in designing scalable AI architectures using Azure serverless infrastructure, OpenAI APIs, and modern vector search frameworks. • Machine Learning model development & deployment (supervised/unsupervised) • Predictive modeling, forecasting, and data-driven insights • NLP pipelines (text classification, extraction, summarization, routing) • Generative AI & LLM applications (GPT-4 / GPT-4o / Claude / Gemini) • Advanced Prompt Engineering & structured outputs • Retrieval-Augmented Generation (RAG) architecture • Vector databases & semantic search (FAISS, Pinecone, ChromaDB) • LLM integration via APIs (OpenAI API, Azure-based serverless workflows) • AI agents, chatbots, and conversational systems • AI automation using APIs and workflow tools (n8n, Make, Zapier) • Hallucination mitigation, response validation, and reliability strategies I focus on building scalable, reliable, and maintainable AI systems — not experiments. 🧠 Notable AI Projects Delivered 📩 AI-Powered Email Intelligence System (Azure Functions + GPT) Designed and deployed a serverless AI email triage system for an organization processing 1000+ emails daily. 🔹 Problem Manual review was overwhelming, causing delayed responses to high-priority communications. 🔹 Solution • Implemented Azure Functions for automated email ingestion • Integrated GPT API for intelligent classification & urgency scoring • Built routing logic to push only critical emails to priority Outlook inbox • Automated categorization of non-urgent emails 🔹 Result ✔ Significantly reduced manual workload ✔ Improved response time for urgent communications ✔ Created scalable, automated email processing pipeline 🤖 Custom GPT Chatbots & AI Assistants Built GPT-powered assistants for customer support, internal help desks, and domain-specific chatbots. • Chatbot development with GPT models • RAG-based knowledge grounding for accurate answers • Vector search + retrieval pipelines • API integration with websites, tools, and internal systems 🏢 Internal RAG Knowledge Assistant Created internal knowledge assistants trained on company docs and databases. • LangChain-powered RAG architecture • Vector indexing (FAISS/Pinecone/ChromaDB) • Secure doc ingestion + retrieval • Context-aware responses with reliability controls If you're looking to build ML models, develop LLM/GPT applications, create a RAG-based assistant, or automate business workflows using AI I can help.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $1.5k
Billed in all: $2,792$2.8k
$250 in the last 6 months
Across 7 contracts
Across 10 contracts
Earnings, last 30 days
Skill rankings: Top 21% in NLP Tokenization
Ranked by MRR among everyone on Upwork with the skill.
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