Sushil S.

SUSHILSINGH KUSHWAH AI/ML Engineer | MLOps Engineer | Full-Stack Django Developer | Cloud & DevOps Engineer India | Open to Remote / Freelance / Contract Opportunities PROFESSIONAL SUMMARY AI/ML Engineer, MLOps professional and full-stack developer with hands-on experience in Python, Machine Learning, Generative AI, chatbot development, Django, Elasticsearch, LangChain, LangGraph, cloud platforms, containerization, Kubernetes, CI/CD and production-oriented ML workflows. Experienced in building and integrating AI/ML solutions, full-stack web applications and intelligent chatbot systems using Python, Django, REST APIs, Elasticsearch, LangChain and LangGraph. Skilled in developing conversational AI applications, retrieval-augmented generation systems, multi-agent workflows and backend services. Hands-on exposure to MLOps engineering, MLflow, Kubeflow, Kubernetes, Docker, kubectl, Azure Databricks, AWS, Azure, Argo CD and CI/CD pipelines. Experienced in developing Django-based full-stack applications, integrating Elasticsearch for search and retrieval, and building chatbot solutions using LangChain and LangGraph, including multi-agent chatbot architectures and LLM-powered workflows. Currently working on projects involving Argo CD and automated CI/CD pipelines, with a focus on reliable and repeatable deployment of applications, AI systems and ML workloads. Strong interest in building scalable AI/ML platforms, production ML pipelines, full-stack applications, intelligent chatbots, multi-agent systems, cloud-native applications and automated deployment infrastructure. ⸻ CORE TECHNICAL SKILLS AI / Machine Learning * Machine Learning * Artificial Intelligence * Generative AI * Large Language Models * LLM Applications * Natural Language Processing * Conversational AI * ML Model Development * Model Deployment * ML Pipelines * Model Lifecycle Management * Retrieval-Augmented Generation * Prompt Engineering * AI Application Development Chatbot & Multi-Agent Development * Chatbot Development * AI Chatbot Development * LLM-Based Chatbots * Multi-Agent Chatbot Development * Multi-Agent Systems * LangChain * LangGraph * Agentic AI * AI Agents * Conversational Workflows * Tool Calling * Function Calling * RAG Chatbots * Document-Based Chatbots * Workflow Orchestration * Conversation Memory * Chatbot API Development Full-Stack & Django Development * Full-Stack Web Development * Django * Django REST Framework * Python Web Development * Backend Development * REST APIs * API Integration * Authentication and Authorization * Database-Driven Applications * Web Application Development * Admin Dashboards * Business Automation Applications * Frontend and Backend Integration Search & Data Retrieval * Elasticsearch * Elasticsearch Integration * Full-Text Search * Semantic Search * Search APIs * Document Indexing * Data Retrieval * Search Optimization * RAG Retrieval Pipelines * Knowledge Base Search * Query Processing MLOps * MLOps Engineering * MLflow * Kubeflow * Model Tracking * Experiment Tracking * Model Registry * ML Lifecycle Automation * ML Pipeline Automation * Model Deployment * Production ML Workflows Cloud & Data Platforms * AWS * Microsoft Azure * Azure Databricks * Cloud-Based ML Workloads * Data and ML Workflows * Cloud Application Deployment * Cloud-Native AI Applications Kubernetes & Cloud Native * Kubernetes * kubectl * Docker * Containerization * Kubernetes Deployments * Kubernetes Workloads * Cloud-Native Architecture * Argo CD * GitOps CI/CD & DevOps * CI/CD Pipelines * Continuous Integration * Continuous Deployment * Git * GitHub * Automated Deployment * Infrastructure and Application Deployment * GitOps * Argo CD * DevOps Automation Programming & APIs * Python * Django * Django REST Framework * FastAPI * REST APIs * API Integration * Backend Development * Full-Stack Development * Automation ⸻ AI, CHATBOT & FULL-STACK PROJECT EXPERIENCE Chatbot and Multi-Agent Development * Develop AI-powered chatbots using Python, LangChain and LangGraph. * Build conversational AI applications using large language models and structured workflows. * Design multi-agent chatbot systems in which specialized agents collaborate to complete complex tasks. * Create agent-based workflows for routing, reasoning, retrieval, validation and response generation. * Integrate tools, APIs, function calling and external services into AI agents. * Build chatbot backends and REST APIs for web and business applications. * Implement conversation memory, context management and multi-step workflows. * Develop retrieval-augmented generation chatbots for documents, knowledge bases and enterprise data. * Design scalable chatbot architectures with separation between frontend, backend, agents, tools and data sources. * Integrate LangChain components for prompts, chains, retrievers, tools and model interactions. * Use LangGraph for stateful, graph-based and multi-agent workflow orchestration. Full-Stack Django Development