Owais S.

𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗚𝗼𝗼𝗴𝗹𝗲'𝘀 𝗚𝗲𝗺𝗶𝗻𝗶 𝗟𝗟𝗠. 𝗕𝘂𝗶𝗹𝘁 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗥𝗔𝗚 & 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗳𝗼𝗿 𝗙𝗼𝗿𝘁𝘂𝗻𝗲-𝗹𝗲𝘃𝗲𝗹 & 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗖𝗹𝗶𝗲𝗻𝘁𝘀. Looking for a production-grade AI system that delivers real business impact rather than just a prototype? Hi, I’m Owais a Full-Stack AI Engineer & Data Architect specializing in 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗮𝗻𝗱 𝗖𝘂𝘀𝘁𝗼𝗺 𝗟𝗟𝗠 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀. 📩 Send me a message to discuss your architecture or project requirements! 🚀 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁? 𝗟𝗟𝗠 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Worked on fine-tuning and training Google's Gemini LLM on complex reasoning (Math/Physics) and conversational logic. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗥𝗲𝗮𝗱𝘆 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Built multi-cloud RAG chatbots (AWS Bedrock, Azure OpenAI) improving query resolution by 40% for healthcare platforms. 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: From scraping and ETL pipelines to vector databases, backend APIs (FastAPI), and cloud deployment. 🛠️ 𝗖𝗼𝗿𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗜 𝗕𝘂𝗶𝗹𝗱: 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Multi-step reasoning agents (CrewAI, LangChain, n8n) for customer support (Shopify/E-commerce), sales, and internal workflows. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Hybrid search (Semantic + Keyword), Knowledge Graphs (Neo4j), Vector DBs (Pinecone, FAISS, pgvector), and document Q&A systems. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀: Real-time call and voice bots using OpenAI RealTime API, LiveKit, Deepgram, and Whisper. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗡𝗟𝗣 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Custom YOLO models for object/defect detection and OCR-powered document processing (98%+ accuracy). ⚙️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸: 𝗔𝗜/𝗠𝗟 & 𝗟𝗟𝗠𝘀: LangChain, LlamaIndex, OpenAI, AWS Bedrock, HuggingFace, PyTorch, OpenCV, YOLO. 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗖𝗹𝗼𝘂𝗱: Python, FastAPI, Flask, Docker, AWS (Lambda, Bedrock, S3, SAM), Azure AI. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗲𝗮𝗿𝗰𝗵: Neo4j, Pinecone, FAISS, PostgreSQL (pgvector), Redis. Need a scalable, low-latency, and cost-efficient AI solution? 𝗖𝗹𝗶𝗰𝗸 "𝗚𝗲𝘁 𝗶𝗻 𝗧𝗼𝘂𝗰𝗵" 𝗼𝗿 "𝗠𝗲𝘀𝘀𝗮𝗴𝗲" 𝗮𝗻𝗱 𝗹𝗲𝘁'𝘀 𝘁𝘂𝗿𝗻 𝘆𝗼𝘂𝗿 𝗶𝗱𝗲𝗮 𝗶𝗻𝘁𝗼 𝗮 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺.