Abeeha I.

AI Engineer | AI Agents, RAG & LLM Chatbots | LangChain, Python, AWS

𝐈'𝐦 𝐚𝐧 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬: 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐋𝐋𝐌 𝐜𝐡𝐚𝐭𝐛𝐨𝐭𝐬, 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐋𝐋𝐌 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧, 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐭𝐡𝐞𝐲 𝐫𝐮𝐧 𝐢𝐧𝐬𝐢𝐝𝐞 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧, 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 & 𝐀𝐖𝐒. 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 · 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 · $𝟏𝟎𝟎𝐊+ 𝐞𝐚𝐫𝐧𝐞𝐝 · 𝟐,𝟗𝟎𝟎+ 𝐡𝐨𝐮𝐫𝐬 · 𝟐𝟑 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬, 𝐳𝐞𝐫𝐨 𝐮𝐧𝐡𝐚𝐩𝐩𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝗠𝗼𝘀𝘁 𝗔𝗜 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿𝘀 𝗰𝗮𝗻 𝗺𝗮𝗸𝗲 𝗮 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝘄𝗼𝗿𝗸 𝗶𝗻 𝗮 𝗱𝗲𝗺𝗼. 𝗧𝗵𝗲 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗰𝗼𝗺𝗲 𝗮𝗳𝘁𝗲𝗿: 𝗵𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗲𝗱 𝗮𝗻𝘀𝘄𝗲𝗿𝘀, 𝗿𝘂𝗻𝗮𝘄𝗮𝘆 𝗟𝗟𝗠 𝗔𝗣𝗜 𝗯𝗶𝗹𝗹𝘀, 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘁𝗵𝗮𝘁 𝗰𝗿𝗮𝘀𝗵 𝘂𝗻𝗱𝗲𝗿 𝗿𝗲𝗮𝗹 𝘁𝗿𝗮𝗳𝗳𝗶𝗰. 𝗧𝗵𝗮𝘁'𝘀 𝗺𝘆 𝘄𝗼𝗿𝗸 𝘁𝗮𝗸𝗶𝗻𝗴 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗳𝗿𝗼𝗺 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘆𝗼𝘂 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗿𝘂𝗻 (𝘆𝗼𝘂𝗿 𝘄𝗲𝗯𝘀𝗶𝘁𝗲, 𝗖𝗥𝗠, 𝗼𝗿 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀). 𝗪𝗵𝗲𝘁𝗵𝗲𝗿 𝘆𝗼𝘂'𝗿𝗲 𝗮 𝘀𝘁𝗮𝗿𝘁𝘂𝗽 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝘀𝗰𝗿𝗮𝘁𝗰𝗵 𝗼𝗿 𝗮𝗻 𝗦𝗠𝗘 𝗮𝗱𝗱𝗶𝗻𝗴 𝗮𝗻 𝗔𝗜 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝘁𝗼 𝗮𝗻 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁, 𝗜 𝗺𝗮𝗸𝗲 𝗶𝘁 𝘄𝗼𝗿𝗸 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲𝗹𝘆, 𝗮𝘁 𝗮 𝗰𝗼𝘀𝘁 𝘁𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝘀𝗲𝗻𝘀𝗲. WHAT I BUILD ✅ AI agents & agentic workflows multi-agent systems with LangChain, LangGraph, CrewAI & MCP for sales outreach, support triage, and document processing ✅ RAG systems & AI chatbots Retrieval Augmented Generation with vector databases (Pinecone, pgvector, Weaviate); accuracy measured with RAGAS & LangSmith, not assumed ✅ LLM integration & AI model integration OpenAI, Claude & Gemini APIs wired into your existing product (web, mobile, WordPress, Shopify, Salesforce, HubSpot, or custom) with streaming, caching, and model routing that cuts API costs; tested against your real data before launch; most integrations ship in 1–3 weeks ✅ AI agent security & audits guardrails, prompt injection defense, PII protection, LLM-as-judge evaluation suites, observability (LangSmith/Langfuse); already have an agent you don't fully trust? I audit it for security, accuracy, and cost, with a prioritized fix list ✅ Data engineering for AI scalable ETL/ELT and embedding pipelines for RAG, built on experience moving billions of financial transactions and sensitive healthcare records ✅ Machine learning & MLOps build, train, deploy, and monitor models end to end; CI/CD with Docker, Kubernetes & Amazon Web Services ✅ Full-stack AI apps — React/Next.js, Node.js, Python (FastAPI) RECENT PROJECTS INCLUDE 🚀 Agentic voice AI sales platform ($5.9M raised; NVIDIA Inception & Google for Startups) architected a 76-agent omnichannel system: voice AI at sub-650ms latency, cross-channel memory, knowledge-base RAG, agentic tool calling with guardrails; thousands of concurrent calls in 20+ languages; $10M+ verified pipeline for customers including Mercedes-Benz, Honda, Subaru & Mazda 🧬 Multi-agent AI health coach 18 AI agents on AWS Bedrock analyzing bloodwork, DNA & 150+ wearable metrics; MVP raised $2M in 6 months (backed by the cofounder of a multi-billion-dollar Nasdaq-listed DevOps company) 🏢 Enterprise AI copilot (Series A) 20 MCP server integrations, per-user vector stores for RAG document Q&A, on Azure Kubernetes at government-grade compliance 💳 RYVYL (NASDAQ: RVYL) end-to-end DevOps & data backbone for a Nasdaq-listed payments fintech processing billions in annual volume: high-throughput ETL, real-time analytics, zero-downtime CI/CD on Kubernetes 🏆 Plus: award-winning AI medical imaging (MedTech Breakthrough winner diagnoses 5.45× faster), a training platform acquired by Wahoo Fitness, and a talent platform used by America's Got Talent, acquired for $7.4M TECH STACK Python, FastAPI, LangChain, LangGraph, CrewAI, MCP, OpenAI API, Claude, Gemini, AWS Bedrock, Pinecone, pgvector, Weaviate, RAGAS, LangSmith, Langfuse, React, Next.js, Node.js, PostgreSQL, Docker, Kubernetes, AWS, Azure, CI/CD HOW I WORK Every project starts by defining "working" in numbers accuracy, latency, cost per query then I build to hit them. I carry fintech and healthcare reliability discipline into every build: uptime, rollbacks, and monitoring are day-one decisions. As a former fractional CTO, technical leadership is included, not billed separately. MY OFFER AND I MEAN THIS LITERALLY Send one line about what you're building (or what's broken). Within 12-24 hours you get a free mini architecture plan: my approach, stack, biggest risk, and realistic cost-to-run. Not a template a plan you keep whether you hire me or not. Most freelancers would be giving away their homework. I'm just showing you mine.