Hire the Best Sphinx Specialists in Noida, IN

🛡️ 100% Risk-Free Guarantee: If I do not deliver the agreed project scope to your exact satisfaction, you get a 100% full refund — no questions asked. I am Hari — an Azure Data & AI Engineer with 3.5+ years of experience and an MSc in CS (AI/ML). I turn messy data sources into fast, reliable cloud lakehouses and production-ready AI pipelines. What I Deliver: - Azure Lakehouse Architecture: End-to-end Medallion pipelines using Azure Databricks (PySpark), Delta Lake, and Microsoft Fabric. - AI/ML & MLOps Data Infrastructure: Designing data pipelines optimized for model training, feature stores, RAG/LLMs, and automated retraining. - Resilient ETL/ELT Automation: Production-grade data pipelines built with Python, SQL, Apache Airflow, and Apache Kafka. - Query & Cost Optimization: Tuning slow SQL queries and cluster configurations (boosted query execution by 45% in prior production roles). Stack: Azure (ADLS, Data Factory, Synapse), Databricks, Fabric, Python, Advanced SQL, Airflow, Kafka, Docker, PostgreSQL, MongoDB, AIML, MLOps, Building a data platform or AI pipeline? 👉 Drop me a message. I will review your architecture and send you a technical roadmap within 24 hours.

Availability: Full-time freelancer, 𝟰𝟬+ hours/week, open to long-term collaborations. I’m a Full-Stack & AI Engineer with 10+ years of experience building web and mobile applications and 3+ years of specialized experience in AI and Large Language Models (LLMs). I design, develop, and deploy production-grade platforms, from scalable SaaS dashboards to AI-powered assistants, RAG systems, and voice agents. I work end-to-end: architecture → backend → frontend → cloud deployment, with a focus on clean code, maintainable systems, and high performance. Over the past few years, I’ve delivered solutions that integrate AI/LLM pipelines, vector search, real-time chat, and voice agents for enterprise and startup clients. 🤖 AI & LLM Expertise - MCP Server Development: Designing and integrating custom MCP servers for AI agents, enabling structured tool usage, external system integrations, database querying, and API orchestration. - Fine-Tuning: Persona creation, Q&A systems, and domain-specific models (medical, legal) using Mistral and Llama 3. - Synthetic Dataset Generation: Streamlining LLM training with high-quality datasets. - Evaluation Frameworks: Assessing LLM performance with custom metrics. - Cloud Deployment: Deploying LLMs on AWS and GCP. - AI Agents & Voice Bots: Proficient with LiveKit, Retail AI, OpenAI. - Open-Source Deployment: Expertise deploying models like vLLM on AWS/GCP/RunPod using SkyPilot. 🛠️ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗧𝗼𝗼𝗹𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 ➜ LLM Tools: LangChain, Langsmith, Langfuse , Hugging Face, Transformers. ➜ Vector Databases: Chroma, FAISS, Pinecone, Qdrant , Opensearch ➜ AI Workflows: Flowise AI, LangFlow, StackAI. 🛠️ 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ➜ Languages & Frameworks: Python, Node.js, ReactJS. ➜ Database Management: MongoDB, MySQL, PostgreSQL , Supabase , FIrebase ➜ Frontend & Backend Integration: Seamlessly connecting APIs and user interfaces. 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 ➜ Open-Source LLMs: Proficiency in LLAMA 3, Mistral 7B, and Mixtral 8x7B. ➜ Prompt Engineering: Expertise in techniques like Chain of Thought, Few-shot Prompting, and Self-Reflection. ➜ Fast Inference: Implementing high-speed solutions with vLLM . 🌟 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? With over 10 years of experience, I deliver scalable, cutting-edge solutions tailored to your project’s needs. Whether it's advanced AI models, MCP server development, LLM optimization, or full-stack development, I ensure top-notch results every time. Let’s collaborate to bring your ideas to life!

We design and deliver custom AI web applications, seamless API integrations, effortless version migrations, production-ready DevOps, clean application architecture, and reliable database solutions. With over 20 years of combined real-world experience, we partner with clients across the globe to turn ideas into scalable, future-proof digital products. What We Bring to the Table -: Modern Tech Stack: React, React Native, Node.js, Python, Java, GraphQL, Redux, Ember, PHP, Laravel -: API Integration & Development (REST + GraphQL) -: Quality Assurance (QA) & Testing -: Manual testing • Automation testing with Cypress, Playwright, Selenium, Jest, Mocha, and Postman -: Artificial Intelligence & Machine Learning (LLMs, Copilot workflows, intelligent automation) -: Cloud-Native Solutions – AWS, Azure, GCP -: Human-centered UI/UX Design & Development Our Full Tech Arsenal Frontend React • React Native • Redux • Ember • Vaadin Backend & Frameworks Node.js • Java • Spring Boot • Hibernate • Python • Spark • Kafka • Grails • JHipster CMS & E-commerce WordPress • Laravel • Shopify • PHP Data & APIs GraphQL • REST APIs DevOps & Cloud CI/CD Automation • Docker • Kubernetes • Terraform • AWS • Azure • GCP • Infrastructure as Code (IaC) • Cloud Administration • Monitoring & Logging • DevSecOps • Automated Deployments • High Availability & Scalable Infrastructure AI & Modern Tools LLM integration • GitHub Copilot • Claud • Grok • OpenAI • Anthropic Quality Assurance Cypress • Playwright • Selenium • Jest • Mocha • Postman • Automated + Manual Testing

𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐮𝐦𝐦𝐚𝐫𝐲 I design and ship production-grade AI agents and enterprise platforms — not prototypes. With 16+ years as a Solutions Architect across AI/GenAI, cloud (AWS, Azure, GCP), SAP Commerce (Hybris), and system integration, I help businesses turn slow, manual, repetitive processes into AI-powered workflows: lead validation, customer onboarding, document/report generation, RAG-based knowledge assistants, and multi-agent automation pipelines built on LangGraph and LangChain. I've delivered architecture and technical leadership for GE, UBS, Bank of America (MBNA), Avaya, Emirates NBD, Haas Automation, Kao Corporation, Land Transport Authority, TravisMathew, Elo Touch Solutions, ITC, SAP Labs, Wipro, Infosys, and IBM — across Spain, the US, the UK, Thailand, and Malaysia, leading distributed engineering teams. Recipient of the Outstanding Performance Award (2010), SDG Corporation. If you need someone who can architect the AI system and actually build it — from LLM orchestration down to production deployment — that's what I do. 𝐂𝐨𝐫𝐞 𝐀𝐫𝐞𝐚𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 AI / GenAI & Agentic Systems RAG pipelines, agentic AI (LangGraph, LangChain, multi-agent orchestration), LLM integration (OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, Azure OpenAI, Azure Databricks, Mistral, LLaMA, DeepSeek), fine-tuning (LoRA/QLoRA), vector databases (Pinecone, ChromaDB, PGVector, FAISS), LLM observability (Langfuse, LangWatch, Dynatrace AI) Cloud Architecture AWS (Lambda, ECS/Fargate, Step Functions, SQS/SNS, Bedrock, SageMaker), Azure (AKS, Functions, Service Bus, AI Studio, Databricks, Synapse, Data Factory), GCP (GKE, Cloud Functions, Terraform IaC, Anthos), Kubernetes, Docker, Helm, GitOps, microservices SAP Ecosystem SAP BTP, CAP, Integration Suite, Event Mesh, API Management, Hybris Commerce, Spartacus, SAP Fiori/UI5, S/4HANA, HANA, SAP Analytics Cloud, Ariba, SAP Build, Neptune, CPQ — plus AI/LLM integration into SAP Commerce (chatbots, smart search, ticket triage) Integration & Platform Engineering MuleSoft, Software AG, Apache Camel, Kafka, RabbitMQ, API gateways (Apigee, Kong, Azure API Management, AWS API Gateway), event-driven architecture (EventBridge, SNS/SQS, Kinesis, Event Grid), n8n workflow automation Languages & Data Java 21, Python 3.10, Go, PostgreSQL 16, MySQL, MongoDB, FAISS, ChromaDB UI & Mobile React.js, Angular, Next.js, Node.js, React Native, Kotlin/Android, HarmonyOS Next (Cangjie, ArkTS), HTML/CSS3/JavaScript Leadership Engineering team leadership, stakeholder management, Agile/SCRUM/TOGAF, DevSecOps, MACH architecture