AI Available for select freelance projects
Hi, I'm Aayush Pandey
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Backend-heavy Full Stack Engineer with 2+ years of experience building scalable backend systems, microservices, full-stack applications, and AI-powered solutions.
2+
Years exp
10+
Projects
About
Backend-heavy Full Stack Engineer
2+ years of experience building scalable backend systems, microservices, and AI-powered solutions.
I am a Backend-heavy Full Stack Engineer with 2+ years of production experience architecting event-driven microservices and distributed systems for a multi-tenant SaaS platforms.
My strongest experience is in backend development using NestJS, gRPC, Kafka-based CQRS/Event Sourcing/Saga architectures, and PostgreSQL at scale, backed by Next.js/React full-stack delivery. I also have solid experience with Python, Django/DRF, MongoDB, Couchbase, Docker, AWS, and GitLab CI/CD.
Beyond traditional full-stack development, I build production GenAI and agentic AI systems. My work involves RAG, LangGraph agent orchestration, tool calling, MCP, AWS Bedrock/Anthropic Claude, OpenAI models, Qdrant, and full evaluation/observability tooling using Langfuse and OpenTelemetry.
Backend-First Mindset
Architecture-oriented thinking with a bias for clean, scalable, production-grade systems.
Distributed Systems
Microservices, gRPC, Kafka, CQRS, and event-driven patterns built to scale.
AI-Integrated Apps
Shipping LLM, RAG, and embedding-powered features inside real full stack products.
Skills
Backend-first, full stack capable.
Deep expertise across NestJS, distributed systems, and event-driven architecture — paired with modern frontend and AI integration.
Backend
01Node.jsTypeScriptNestJSExpress.jsPythonDjangoDjango REST FrameworkFastAPIREST APIsGraphQLgRPC
Frontend
02React.jsNext.jsTypeScriptTanStack QueryWebSockets
Databases
03PostgreSQLCouchbaseMongoDBRedisTypeORM
Architecture & Messaging
04MicroservicesKafkaCQRSSaga PatternEvent-driven architecture
Cloud & DevOps
AWS (EC2, SES, SQS, SNS)DockerDocker ComposeGitLab CI/CDLinuxGit
Auth & Security
JWTOAuth 2.0Auth0RBACABACJestSonarQube
AI / LLM Stack
RAGAgentic AITool CallingMCPLangChainLangGraphAWS BedrockAnthropic ClaudeOpenAIQdrantLangfuseOpenTelemetry
Experience
Professional Experience.
Selected roles where I built, scaled, and shipped production applications.
Software Engineer
MediaNv
- ▸Architected NestJS (TypeScript) microservices for high-volume EMR workflows, migrating synchronous calls to gRPC and Kafka-based CQRS, cutting inter-service latency by 35%.
- ▸Optimized PostgreSQL schemas, indexes, and reporting views via TypeORM, pairing with Couchbase and tuning GraphQL resolvers to cut analytics query time by 80%.
- ▸Owned backend development for a multi-tenant healthcare SaaS serving 3,000+ clinics, building APIs with tenant-aware RBAC/ABAC and OAuth 2.0/Auth0.
- ▸Built Next.js/React interfaces for admin panels and analytics dashboards using TanStack Query and WebSockets.
- ▸Engineered asynchronous email-to-ticket workflows using AWS SES, SQS, and SNS for retry-safe event processing.
- ▸Built a Django GenAI support service using Qdrant vector search for knowledge retrieval, cutting manual ticket handling by 70%.
- ▸Designed LangGraph agent workflows with LLM tool calling, MCP integrations, and AWS Bedrock (Anthropic Claude, OpenAI).
- ▸Built an evaluation/observability layer with Langfuse and OpenTelemetry; maintained Docker/GitLab CI/CD pipelines.
Full Stack Developer
Masai
- ▸Built full-stack LMS features for course management and learner workflows using React.js, Node.js, Express.js, and MongoDB.
- ▸Designed REST APIs and improved MongoDB query performance via indexing and aggregation optimization.
- ▸Built AI-powered learning assistants using LlamaIndex, Qdrant, LangGraph, Llama 3, and Whisper for semantic content retrieval and conversational responses.
Projects
Selected work.
Microservices, event-driven systems, and AI-integrated apps.
AI
WebTripsage
TripSage is a full-stack travel recommendation platform that personalizes destination suggestions based on user preferences. Users can explore destinations, plan itineraries, and leave reviews, while admins manage destinations and reviews efficiently.
ReactNodeExpressMongoDBTailwind
Web
Web
AISnap Class
An AI-powered attendance system that uses image and voice-based recognition to automate attendance.
PythonStreamlitMachine LearningFace Recognition
BackendInventory & Sales Management
A backend inventory and sales management system built using a microservices architecture with gRPC for service communication and Kafka for event-driven workflows.
NestJSMicroservicesgRPCKafka
Education & Achievements
Foundation & Milestones.
B.Tech in Electronics and Communication Engineering
Technocrats Institute of Technology, Bhopal
2021
Core engineering foundation.
Xto10 Hackathon
Masai School
Participated and showcased problem-solving skills in a competitive environment.
AI/ML Course Completion Certificate
Prime-Apna College
Comprehensive training in Artificial Intelligence and Machine Learning.