Building production-grade AI systems with cutting-edge cloud infrastructure

• 💼 Associate AI Engineer specializing in Generative AI & Cloud Architecture
• 🔭 Building innovative solutions at SynkPlan
• 🎯 Expert in LangChain, LangGraph, RAG Systems & Multi-Agent Architectures
• ☁️ Deep expertise in AWS, Azure & Google Cloud platforms with production deployment experience
• 🤖 Developing AI-powered applications with enterprise-grade scalability
• 🛡️ Experience in Security & Malware Detection using AI/ML
• 🔄 Building asynchronous workflows with Celery and advanced queue systems

Building cutting-edge AI solutions and experimenting with the latest in Generative AI technology. A next-generation study companion powered by AI. Manage tasks, track progress, focus better, and achieve your academic goals.

• LangChain & LangGraph - Building complex AI workflows and agentic systems
• RAG with Milvus - High-performance vector databases for intelligent retrieval
• Crawl4AI - Advanced web scraping and data extraction for AI applications
• Multi-Agent Systems - Orchestrating autonomous AI agents
• Prompt Engineering - Optimizing LLM outputs for production use
• Large Language Models - Integration with OpenAI, Claude, and Hugging Face models

• AWS Compute: EC2, ECS, Lambda for scalable deployments
• AWS Container Registry: ECR for Docker image management
• AWS Networking: Route 53 for DNS management and routing
• AWS Security: KMS encryption, Cognito authentication, Malware Detection
• AWS Storage: S3 bucket management and optimization
• Azure Storage: Blob storage for large-scale data
• Azure Security: Key Vault for secrets management, Defender for threat protection
• Google Cloud: Cloud Run for containerized apps, Cloud Scheduler for cron jobs
• Cloudflare R2: Object storage with zero egress fees

• FastAPI - High-performance async API development
• Python - Core programming language for AI/ML
• Celery - Distributed task queue for async workflows
• Docker - Containerization for consistent deployments

• PostgreSQL - Advanced relational database with pgvector support
• MySQL - Reliable SQL database for structured data
• SQL - Expert-level query optimization and database design

• MongoDB - NoSQL for flexible document storage

• Milvus - Vector database for AI embeddings and similarity search

• Redis - High-performance caching, session management, and message brokering

• GitHub & GitLab - Version control and repository management
• GitHub Actions - Automated CI/CD pipelines
• Docker - Container orchestration and deployment
• Git - Version control and collaborative development

• Designed and deployed RAG systems with Milvus vector database
• Built multi-agent AI systems using LangGraph for complex workflows
• Implemented malware detection using AWS services and ML models
• Developed production-grade LLM applications with LangChain

• Deployed serverless applications using AWS Lambda
• Managed containerized services with AWS ECS and ECR
• Implemented secure authentication with AWS Cognito
• Set up encryption and key management using AWS KMS and Azure Key Vault
• Configured DNS routing with AWS Route 53
• Deployed containerized apps on Google Cloud Run
• Configured Azure Defender for advanced threat protection

• Built high-performance APIs with FastAPI
• Implemented asynchronous task processing with Celery
• Designed scalable database architectures across SQL and NoSQL
• Created efficient Docker containerization strategies
• Implemented Redis for caching and real-time data processing

• 📧 Email: Kumarharsh74799@gmail.com
• 💼 LinkedIn: harsh-kumar-11b054212

⚡ "Building the future, one AI model at a time" ⚡