Nazmul Hoque Khan
Nazmul Hoque Khan
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Senior Software Engineer | AI/ML & Cloud-Native Backend Architect | Scaling SaaS, Generative AI, MLOps | EU-Compliant via Estonian e-Residency | Python · Jav...
Tallinn, Harju County, Estonia
🚀 Senior Software Engineer | Advanced AI & Backend Architect | 9+ Years Experience I specialize in building AI-powered Backend Systems and Agentic Architectures that solve complex problems at scale. With 25,000+ hours of hands-on experience, I design and deploy high-availability platforms that blend cutting-edge AI (LLMs, RAG, MCP) with robust, scalable backend infrastructure for startups and enterprises. AI & Agentic Systems: - Multi-agent orchestration (LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI) - Retrieval-Augmented Generation (RAG) with vector DBs (PGVector, Pinecone, Chroma) - Model Context Protocol (MCP) for seamless tool/data integration - LLMs: OpenAI, Gemini, Anthropic, Cohere, Llama, HuggingFace, DeepSeek, self-hosted - Prompt engineering, workflow automation, multi-modal and corrective RAG - AI analytics: Langfuse, LangSmith, synthetic data pipelines Backend & Cloud: - Languages: Python, Java, Node.js, TypeScript, PHP - Frameworks: Spring Boot, FastAPI, Django, Flask, Express, Celery - APIs: REST, GraphQL, gRPC, Swagger/OpenAPI - Databases: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch, Firebase - Messaging: RabbitMQ, Google Pub/Sub, Kafka - Cloud: AWS (EC2, S3, Lambda, API Gateway), GCP (GKE, Cloud Functions, Cloud Run, BigQuery), Serverless - DevOps: Docker, Kubernetes, Terraform, CI/CD (CircleCI, Jenkins, GitHub Actions), Ansible - MicroServices, event-driven architecture, scalable API gateways Key Achievements: - Led design and deployment of agentic RAG and MCP-based backends for millions of requests with 99.9% uptime - Developed multi-agent orchestration frameworks for dynamic task delegation and self-healing AI pipelines - Integrated OpenAI, Cohere, HuggingFace, and DeepSeek models for intelligent recommendations, boosting engagement by 35% - Built secure, scalable APIs (REST/GraphQL) and reduced integration times by 40% - Migrated legacy systems to cloud-native (AWS/GCP), cutting costs by 30% - Optimized Elasticsearch for 50% faster queries and higher conversion rates - Released CI/CD pipelines with Github, Gitlab etc reducing release cycles from weekly to daily Industries: Applied AI, IP Law, SaaS, FinTech, IoT, E-commerce, Banking, Insurance, Real Estate, ERP, Data Analytics Driven by the challenge of scaling Agentic AI and backend systems, I’m open to B2B collaborations, freelance contracts, and remote opportunities worldwide. 📞 Contact Book a Meeting: cal.com/nazmul WhatsApp: wa.me/8801521483714 Telegram: t.me/Xolopreneur GitHub: github.com/shuvro AngelList: wellfound.com/u/shuvro Twitter: x.com/shuvroio
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