Sheraz K.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 Developer | DevOps | MLOps & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 7+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 | 𝗚𝗲𝗻𝗔𝗜 • 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 • 𝗥𝗔𝗚 • 𝗔𝗪𝗦 • 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 • 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 ✅ AI Agents & Autonomous Workflows ✅ RAG & GraphRAG Knowledge Systems ✅ AI Chatbots & Copilots ✅ Voice AI Agents & AI Receptionists ✅ AI Automation Platforms ✅ LLM-Powered SaaS Applications ✅ Document AI & Intelligent Data Extraction ✅ Custom LLM Integrations ✅ AI Evaluation & Observability Systems ✅ AI APIs & Microservices ✅ Full-Stack Web Applications ✅ AWS Cloud & DevOps Infrastructure ✅ MLOps & Production AI Systems ✅ Databricks Data & AI Platforms ✅ Snowflake Data Warehousing & Analytics ✅ Data Engineering & AI Data Pipelines 🟢 𝗠𝗖𝗣, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗥𝗔𝗚, 𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚, 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜, 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵, 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴, 𝗟𝗟𝗠 𝗘𝘃𝗮𝗹𝘀, 𝗚𝗲𝗻𝗔𝗜 𝗔𝗽𝗽𝘀, 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀, 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴, 𝗧𝗼𝗼𝗹 𝗨𝘀𝗲, 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗔𝗜, 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗕𝗮𝘀𝗲𝘀, 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗮𝗿𝗰𝗵, 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵, 𝗥𝗲𝗿𝗮𝗻𝗸𝗶𝗻𝗴, 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴 Hello, I am Sheraz Karim, an AI Engineer, DevOps/MLOps Engineer, and Full-Stack Developer with 7+ years of experience. I build production-ready AI applications, LLM-powered products, AI agents, RAG systems, data platforms, automation solutions, and full-stack applications that solve real business problems. My work sits at the intersection of Generative AI, software engineering, data engineering, cloud infrastructure, DevOps, and MLOps — allowing me to take an idea from architecture and development all the way to production deployment. 𝗔𝗜 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 🔹 AI Agents: LangGraph, LangChain, CrewAI, AutoGen, MCP 🔹 RAG: Advanced RAG, GraphRAG, Hybrid Search, Semantic Search, Reranking 🔹 LLMs: OpenAI, Claude, Llama, DeepSeek, Mistral, Hugging Face 🔹 Voice AI: LiveKit, Vapi, Deepgram, STT, TTS 🔹 LLM Engineering: Prompt Engineering, Function Calling, Tool Use, Structured Outputs 🔹 Fine-Tuning: LoRA, QLoRA, PEFT, SFT, Unsloth 🔹 LLM Evaluation: Ragas, Langfuse, Arize Phoenix, AI Observability 🔹 Vector Databases: Qdrant, Pinecone, Weaviate, Milvus, FAISS, ChromaDB 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 • 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 • 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 🔹 Databricks: Data & AI workloads, notebooks, data processing, analytics workflows 🔹 Snowflake: Cloud data warehousing, SQL analytics, data transformation and integration 🔹 Data Engineering: ETL/ELT pipelines, data ingestion, transformation and orchestration 🔹 Data Pipelines: Batch and automated data processing workflows 🔹 AI Data Pipelines: Preparing, transforming and serving data for ML/LLM applications 🔹 Analytics: SQL-based analytics, structured data processing and reporting 🔹 Data Integration: Connecting applications, cloud services, databases and AI systems ☁️ 𝗔𝗪𝗦 • 𝗗𝗲𝘃𝗢𝗽𝘀 • 𝗠𝗟𝗢𝗽𝘀 🔹 AWS: EC2, S3, Lambda, API Gateway, IAM 🔹 Docker & Kubernetes 🔹 CI/CD & GitHub Actions 🔹 Linux & Nginx 🔹 Cloud Architecture & Deployment 🔹 MLOps & AI Infrastructure 🔹 Monitoring, Logging & Observability 🔹 Production AI Deployment & Optimization 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 🔹 Backend: Python, FastAPI, Django, Flask, Node.js, Express.js 🔹 Frontend: React.js, Next.js, TypeScript, JavaScript, Tailwind CSS 🔹 Databases: PostgreSQL, MySQL, MongoDB, Redis, Firebase 🔹 Architecture: REST APIs, Microservices, SaaS, Authentication, Dashboards 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? I don't just build AI demos I engineer production systems. I care about scalability, reliability, security, latency, cost optimization, observability, clean architecture, data quality, and maintainable code. Whether you need to build an AI product from scratch, integrate LLMs into an existing application, develop an intelligent agent, build a RAG pipeline, work with Databricks or Snowflake, develop data pipelines, deploy AI infrastructure on AWS, or automate your development and deployment workflows, I can handle the engineering lifecycle end-to-end. 𝗔𝗜 • 𝗗𝗔𝗧𝗔 • 𝗠𝗟𝗢𝗽𝘀 • 𝗗𝗲𝘃𝗢𝗽𝘀 • 𝗖𝗟𝗢𝗨𝗗 • 𝗙𝗨𝗟𝗟-𝗦𝗧𝗔𝗖𝗞 Have an AI, Data Engineering, MLOps, DevOps, or Full-Stack project? Send me your requirements and let's build something production-ready.