• NFT Minting: Upload artworks, add metadata, and mint ERC-721/ERC-1155 tokens with customizable royalties
• Auction System: Real-time bidding, buy-now options, and timed auctions with WebSocket updates
• Wallet Integration: MetaMask, WalletConnect, and Coinbase Wallet support for seamless transactions
• IPFS Storage: Decentralized storage for artwork files using Pinata and Filecoin
• AI-Powered Curation: Genkit-powered recommendation engine suggesting artworks based on user preferences
• Creator Dashboard: Analytics, portfolio management, and sales tracking for artists
• Social Features: Follow creators, comment on artworks, and build a collector profile

Next.js 14 TypeScript Tailwind CSS Node.js Express PostgreSQL Prisma Solidity Hardhat Ethers.js Web3.js IPFS Genkit JWT Redis

• Smart Extraction: AI-powered data extraction that adapts to website structure changes without manual selector updates
• JavaScript Rendering: Full browser automation with Playwright for SPA/React/Vue applications
• ** Anti-Bot Bypass**: Intelligent rotation, CAPTCHA solving, and fingerprint management
• Batch Processing: Scalable crawling with rate limiting, retries, and distributed execution
• Data Cleaning: Automatic deduplication, normalization, and schema validation
• API-First Design: RESTful endpoints, webhooks, and SDKs (Python, Node.js, Go)
• Monitoring Dashboard: Real-time crawl health, success rates, and error tracking
• Export Options: JSON, CSV, XML, or direct pipeline to databases/data warehouses

Python FastAPI Playwright Scrapy Redis PostgreSQL OpenAI GPT-4 Vision Docker Kubernetes Celery Prometheus Grafana

• One-Click Deployments: 280+ pre-configured services (PostgreSQL, Redis, WordPress, Mastodon, etc.)
• AI Auto-Scaling: ML-driven resource prediction and automatic scaling based on traffic patterns
• Smart Health Monitoring: Anomaly detection for server metrics, predictive failure alerts
• Git Integration: Automatic deployments from GitHub, GitLab, Bitbucket with preview environments
• SSL Management: Automatic Let's Encrypt certificate provisioning and renewal
• Backup Automation: Intelligent backup scheduling with S3-compatible storage
• Multi-Server Orchestration: Deploy across multiple servers/VPS with load balancing
• Team Collaboration: Role-based access control, audit logs, and shared environments
• Cost Optimization: AI suggestions for resource right-sizing to reduce cloud spend

PHP Laravel React Go Docker Docker Compose Nginx Traefik PostgreSQL Redis WebSockets Prometheus Grafana Machine Learning (Laravel ML) Python TensorFlow Lite

• AI Chat Summaries: GPT-4 powered conversation summarization for long thread overviews and meeting recaps
• Smart Reply Suggestions: Context-aware response recommendations using embeddings and semantic search
• Automated Moderation: ML-based content filtering, toxicity detection, and spam prevention
• Knowledge Base Integration: RAG-powered Q&A searching past conversations, docs, and wikis
• Voice/Video Transcription: Whisper-powered transcription for calls and voice messages
• Workflow Automation: AI-driven task extraction from conversations (e.g., "Schedule meeting" → creates calendar event)
• Sentiment Analysis: Real-time team morale tracking with mood detection and alerts
• Custom Bots & Plugins: Extensible plugin system for domain-specific AI assistants

Go React TypeScript PostgreSQL Redis WebSockets OpenAI GPT-4 Whisper Mattermost Plugin SDK Docker Kubernetes Vector DB (Qdrant) Celery

• Generative AI: Leveraging LLMs (GPT, Claude) and diffusion models for content creation, code generation, and intelligent automation.
• Computer Vision: Implementing image recognition, object detection, and facial analysis for artwork verification and media enrichment.
• Recommendation Systems: Building collaborative and content-based filtering models to personalize user experiences and drive engagement.
• AI-Powered Analytics: Using predictive modeling and clustering to extract insights from user behavior and market trends.
• MLOps & Deployment: Containerizing ML models with Docker, serving via FastAPI/Flask, and deploying on cloud platforms (AWS SageMaker, GCP AI Platform).
• Model Optimization: Implementing model quantization, pruning, and distillation for efficient inference in production environments.

• Frontend Mastery: Developing responsive, accessible UIs with React, TypeScript, Tailwind CSS, and modern state management (Redux, Zustand).
• Backend Scalability: Designing RESTful and GraphQL APIs with Node.js, Express, and Python (FastAPI/Flask); implementing authentication, caching, and real-time features.
• Database Architecture: Optimizing PostgreSQL, MongoDB, and vector databases (Pinecone, Weaviate) for ML workloads and high-throughput applications.
• DevOps & Deployment: Automating CI/CD pipelines with GitHub Actions; containerizing applications with Docker; deploying to AWS, Vercel, and Railway.

• Smart Contract Development: Designing and deploying secure, gas-efficient smart contracts on Ethereum, Polygon, and other EVM-compatible networks using Solidity and Hardhat.
• DApp Architecture: Building decentralized applications with Web3.js, Ethers.js, and React/Next.js for seamless user interactions with blockchain networks.
• Token Engineering: Creating ERC-20, ERC-721, and ERC-1155 tokens with custom utilities, staking mechanisms, and governance features.
• AI-Blockchain Integration: Implementing on-chain AI inference, decentralized ML model marketplaces, and AI-enhanced NFT utilities.

• User Research & Testing: Conducting interviews, usability tests, and A/B experiments to validate designs and prioritize features.
• Design Systems: Creating reusable component libraries and style guides with Figma and Storybook for consistency across platforms.
• Agile Project Management: Leading Scrum/Kanban teams with Jira, Notion, and Slack; delivering MVP features on schedule and budget.
• Growth & Marketing: Developing data-driven strategies for user acquisition, retention, and monetization through SEO, content, and partnerships.

Bachelor of Engineering
Dr. D Y Patil's RAIT, Nerul, Navi Mumbai
University of Mumbai

Feel free to reach out with questions about AI/ML engineering, machine learning systems, or collaboration opportunities!

📫 Best Ways to Reach Me:

• Email: jagdish.pulpett@gmail.com

• WhatsApp: +91 91378 81027

• LinkedIn: linkedin.com/in/jagdish-pulpet

• GitHub: @jagdish-pulpet

  🎯 Topics I Can Help With:

  • Machine learning model development & deployment (TensorFlow, PyTorch, scikit-learn)
  • Generative AI & LLM integrations (GPT, Claude, embeddings, fine-tuning)
  • Computer vision & NLP applications (image recognition, text analysis)
  • Recommendation systems & predictive analytics
  • AI-powered product architecture & MLOps
  • Full-stack development with AI integrations (Next.js, Node.js, Python)
  • Career advice in AI/ML and data science

🔧 Prefer opening a GitHub Issue?
I'm active on GitHub and welcome technical discussions. Feel free to open an issue on any of my repositories!