Himali T.

Sr. AI Automation Expert & ML Engineer |AI Agent, LLM, RAG |Full-Stack

🚀 𝟴+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 🏆 𝗧𝗼𝗽-𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝘅𝗽𝗲𝗿𝘁 & 𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 ⚡ 𝟱𝟬+ 𝗵𝗿𝘀/𝘄𝗲𝗲𝗸 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 ✅ 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗟𝗟𝗠 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 | 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗠𝗟 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 I build production-grade 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) 𝗲𝗻𝗴𝗶𝗻𝗲𝘀, 𝗮𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 (𝗟𝗟𝗠) 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗿𝗼𝗯𝘂𝘀𝘁 𝗣𝘆𝘁𝗵𝗼𝗻 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝘄𝗲𝗯 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀. My core focus is eliminating enterprise operational friction by designing autonomous multi-agent teams, vector-driven knowledge infrastructures, and high-concurrency SaaS applications built for actual production deployment, not just quick demos. I collaborate with startups, enterprise teams, and SaaS companies to architect and ship intelligent software that completely automates business scaling, reduces manual overhead, and optimizes data pipelines. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: 🔄 𝟭. 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: • 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: n8n, Make (Integromat), Zapier, Custom Python-driven automation scripts, Webhooks, API Gateway Management • 𝗖𝗥𝗠 & 𝗦𝗮𝗮𝗦 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: HubSpot, Salesforce, Pipedrive, GoHighLevel, Zoho CRM, ClickUp, Monday . com, Airtable • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: LangGraph, CrewAI, AutoGen, LangChain, Multi-Agent Orchestration, Custom Tool/Function Calling, Autonomous AI Copilots • 𝗠𝗲𝗱𝗶𝗮 & 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: End-to-end automated AI video generation pipelines, automated scraping (Apify), data enrichment, and lead-generation routing ⚙️ 𝟮. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟) & 𝗠𝗟𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: • 𝗣𝘆𝘁𝗵𝗼𝗻 & 𝗠𝗟 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺: Python, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, Predictive Analytics, NLP, Deep Learning Pipelines, Computer Vision • 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS, GCP, Azure, Docker, Kubernetes, Nginx, CI/CD Pipelines • 𝗛𝗶𝗴𝗵-𝗖𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝗰𝘆 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Fault-Tolerant Distributed Infrastructures, Latency Optimization, Prompt Caching, Token Cost Optimization 🧠 𝟯. 𝗟𝗟𝗠𝘀, 𝗥𝗔𝗚 & 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: • 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Hierarchical Chunking, Parent-Document Retrieval, Hybrid Search (Keyword + Vector), Re-ranking (Cohere), Context Optimization, Evaluation (Ragas, TruLens) • 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Pinecone, Qdrant, Milvus, Weaviate, ChromaDB, FAISS, pgvector • 𝗟𝗟𝗠𝘀 & 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝘀: GPT-4o, Claude 3.5 Sonnet API, LLaMA 3, DeepSeek, Mistral, Mixtral, Gemma, Ollama, Amazon Bedrock • 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: Automated PDF parsing, Unstructured data extraction, OCR pipelines, Multi-modal parsing (text, tables, images) 🌐 𝟰. 𝗣𝘆𝘁𝗵𝗼𝗻 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Python (FastAPI, Django, Flask), Node.js, RESTful APIs, GraphQL, Redis, Celery Background Workers, Real-Time Streaming Systems, Microservices Architecture • 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗨𝗜/𝗨𝗫: React.js, Next.js, Responsive Client Dashboards, Progressive Web Apps (PWA) • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: PostgreSQL, MySQL, MongoDB, Firebase, Firestore, ETL Pipelines, Real-Time Analytics 💬 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗚𝗲𝘁 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗪𝗶𝘁𝗵 𝗠𝗲: → Production-ready AI & RAG systems built for global enterprise scale → Seamless, fully autonomous agentic workflows that run flawlessly in the background → Clean, modular architecture & highly maintainable codebases → Fast development execution without compromising platform security → Long-term system scalability instead of quick, brittle workarounds I focus on building AI systems that are automated, intelligent, reliable, and data-secure. If you need a senior technical partner who can architect, build, deploy, and scale real AI products and automated workflows end-to-end, let’s connect. 🚀 𝗪𝗮𝗿𝗺 𝗿𝗲𝗴𝗮𝗿𝗱𝘀, Himali