Completed 50+ world-class 3D product configurators across various industries. With 20 years of experience in computer graphics and computational geometry, I help businesses turn complex 3D and visual data into interactive, production-ready software — from AI-powered computer vision pipelines to real-time 3D configurators and digital twins. On the 3D configurator and e-commerce side, I create web-based experiences where users can load, customize, and augment products in real-time using WebGL/Three.js and modern JavaScript, then purchase directly through the website — turning static product pages into interactive sales tools. My technical foundation covers both precision CAD work (STEP/IGES) and mesh-based pipelines (STL/OBJ), using geometry kernels like Parasolid, Open Cascade, CGAL, and IGL, graphics libraries like VTK and OpenGL, and languages including C++, C++/CLI, C#, and JavaScript, with UI frameworks like Qt and MFC for desktop tools. On the computer vision and AI side, I build systems that extract measurements, detect defects, and verify manufacturability directly from images, scans, or CAD models — including photogrammetry pipelines that reconstruct accurate 3D models from real-world photos for digital twin and inspection use cases. Whether the challenge is reconstructing real-world geometry through photogrammetry, building a digital twin that mirrors physical assets, training a vision model to inspect or measure parts, or shipping a configurator that helps customers buy with confidence, I bring deep geometry expertise together with modern AI and graphics tooling to deliver solutions that solve real engineering and business problems.

I’m a PhD student in Artificial Intelligence and a skilled LLM Engineer with deep expertise in machine learning, deep learning, NLP, and AI-driven systems. I combine strong technical skills with a research-oriented mindset, enabling me to design intelligent, reliable, and high-impact AI solutions. What I Offer: - Fine-tuning and optimizing LLMs (Mistral, Mixtral, LLaMA, BLIP, Qwen, etc.) - Retrieval-Augmented Generation (RAG): enhancing LLMs with external knowledge sources - NLP solutions: text generation, summarization, sentiment analysis, embeddings - Vector databases (Qdrant, Milvus) for efficient information retrieval - Applied AI: computer vision, medical AI, and scientific research applications - Deployment & scaling: AWS, GCP, Runpod, and scalable cloud setups With experience as a freelancer, researcher, and data analyst, I bring both academic rigor and hands-on engineering to every project, ensuring solutions that are not only technically robust but also research-backed and future-ready. 📩 Let's discuss your AI project!

I help businesses automate operations, reduce manual work, and build intelligent AI-powered products that scale efficiently. With 5 years of experience in AI engineering and full-stack Python development, I specialize in building AI agents, automation systems, conversational AI, and scalable backend architectures using modern AI frameworks and cloud technologies. I develop end-to-end AI solutions powered by GPT-4, LangChain, LangGraph, AutoGen, RAG pipelines, vector databases, and workflow automation tools like n8n and Make. From AI chatbots and voice agents to enterprise workflow automation and custom AI SaaS products, I help companies turn ideas into production-ready systems. What I Specialize In: 1. AI Agents & Generative AI - Custom AI agents using GPT-4, Claude, Gemini, LLaMA, and Mistral - Autonomous workflows with LangChain, LangGraph, and AutoGen - AI copilots, research agents, and task automation systems - Conversational AI and context-aware assistants 2. RAG & Vector Databases - Retrieval-Augmented Generation (RAG) pipelines - Document Q&A systems and knowledge bases - Vector databases: Pinecone, ChromaDB, Weaviate, FAISS - Semantic search and intelligent data retrieval 3. AI Voice Agents & Chatbots - AI voice calling agents and real-time conversational systems - Speech-to-text and text-to-speech integrations - Twilio, Deepgram, ElevenLabs, Cartesia, VAPI integrations - Customer support, appointment booking, and sales automation bots 4. Python & Backend Development - FastAPI, Django, REST APIs, Webhooks - Scalable backend systems and AI-powered applications - API integrations and microservices architecture - Authentication, databases, cloud deployment, and automation scripts 5. Automation & Workflow Systems - Advanced n8n and Make automation workflows - CRM automation and third-party integrations - Lead generation, notifications, reporting, and data synchronization - Workflow optimization for scalability and reliability Technologies & Tools: - AI & LLMs: OpenAI, GPT-4, Claude, Gemini, LLaMA, Mistral - Frameworks: LangChain, LangGraph, AutoGen, PyTorch, TensorFlow - Automation: n8n, Make, Zapier, Airtable, Notion - Voice AI: Twilio, Deepgram, ElevenLabs, VAPI, Cartesia - Backend: Python, FastAPI, Django, REST APIs, Webhooks - Databases: MongoDB, PostgreSQL, Pinecone, ChromaDB, Weaviate, FAISS - Cloud: AWS, Azure AI Services, Serverless Deployments I focus on delivering clean architecture, scalable systems, fast turnaround, and clear communication throughout the project lifecycle. Whether you need: - AI automation systems - AI SaaS development - AI chatbots or voice agents - RAG applications - Custom backend APIs - Workflow automation with n8n/Make - Full AI product development I can help you build reliable, production-ready solutions tailored to your business goals.

𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐋𝐋𝐌 𝐀𝐠𝐞𝐧𝐭𝐬 | 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I build AI-powered systems that automate real business workflows using LLMs, agents, and modern automation tools. With 7+ years of experience in AI/ML and data engineering, I now specialize in designing and deploying production-ready AI solutions using ChatGPT, LangChain, and workflow automation platforms. I focus on delivering systems that don’t just “look good” they save time, reduce manual work, and scale operations. 🔧 What I Can Help You Build ✔ AI Agents for business automation (multi-step workflows) ✔ ChatGPT / OpenAI integrations (custom apps, APIs, tools) ✔ RAG systems (document Q&A, knowledge bases) ✔ AI chatbots for customer support & internal tools ✔ Workflow automation (Zapier, Make, APIs) ✔ NLP systems (classification, routing, extraction) ✔ End-to-end AI pipelines (from idea → production) ⚙️ Tech Stack OpenAI (GPT-4 / ChatGPT API) LangChain / LLM Agents Python (FastAPI, backend systems) Zapier / Make (automation) Vector DBs (Pinecone, FAISS) REST APIs & integrations 💼 Recent Work Includes Built AI chatbot handling real customer interactions Developed LLM-based routing system for NLP classification Automated workflows using ChatGPT + Zapier Deployed LangChain-based document AI system Integrated LLMs into production APIs 🎯 What You Can Expect Clean, scalable, production-ready solutions Strong communication and fast turnaround Focus on business outcomes (not just code)

Applied AI Engineer and PhD Researcher focused on building production-grade AI systems for real-world business problems. I specialize in designing and deploying systems that turn unstructured data into usable intelligence including document processing pipelines, enterprise knowledge systems, and AI-driven automation workflows. Most of my work sits at the intersection of Document Intelligence, Retrieval-Augmented Systems, and Agentic AI, where reliability, accuracy, and cost efficiency matter as much as model performance. What I build 🤖 AI Agents & Workflow Systems Multi-step agentic systems for task automation, tool orchestration, and decision workflows. 📚 RAG & Knowledge Systems Enterprise search, internal copilots, and retrieval systems over large-scale document and data repositories. 📄 Document Intelligence (OCR + Extraction) Contract analysis, invoice processing, form automation, and structured data extraction from complex documents. 💻 AI SaaS & Backend Systems Scalable backend architecture, APIs, authentication systems, and full AI product development. ⚡ Automation & Integrations Business process automation, CRM/ERP integration, and workflow optimization. Selected Results • Reduced OpenAI API costs by $18,000/month for a SaaS platform through architecture optimization, caching strategies, and retrieval tuning. • Built a RAG system over 40,000+ legal contracts enabling fast, accurate semantic retrieval in production. • Deployed an air-gapped LLM system for a healthcare environment that passed compliance review on first submission. Approach I start with system design before implementation. Every project begins with: Architecture planning Cost and scalability analysis Clear delivery roadmap This ensures predictable execution with no hidden complexity or last-minute surprises. Tech Stack Python • FastAPI • LangGraph • LlamaIndex • LangChain • AWS • PostgreSQL • Vector Databases • OpenAI API • Hugging Face • CrewAI • AutoGen • n8n Industries Legal • Healthcare • Finance • SaaS • Enterprise Systems Let’s work together Send me a short description of your use case. I’ll respond with: Technical feasibility Suggested architecture Timeline estimate Cost range For serious projects, I also offer a free initial system design discussion.

AI Architect & Senior ML Engineer with 10+ years of academic + industry experience building production-grade intelligence systems, LLM pipelines, and multimodal AI. I design and deploy end-to-end ML architectures, including LLM orchestration, timeseries modeling, graph ML, OCR pipelines, and automated image-processing systems. Trusted by enterprises for high-reliability AI, data privacy, and scalable ML infrastructure.

Innovative software engineer with 12 years of experience in the full software development life-cycle – from concept through delivery of robust software applications. Expert in advanced development methodologies and tools contributing to the design and development of critical applications. Known for excellent troubleshooting skills – able to analyze code and engineer well-researched and responsive solutions.

Hi, I’m Deepesh I design and deliver AI solutions that turn raw data into real business impact. Over the past few years, I’ve helped companies: • Build AI-powered search systems that can read thousands of PDFs and database fields using RAG + vector databases. • Deploy chatbots & NLP models to automate customer support and lead generation. • Create predictive models (credit scoring, fraud detection, sales forecasting) that improve decision-making. • Develop computer vision systems (e.g., textile defect detection) that cut manual inspection costs. My expertise includes: • Machine Learning & Predictive Analytics: Regression, Classification, Random Forest, XGBoost, SVM. • Deep Learning: ANN, CNN, RNN, LSTM. • Natural Language Processing (NLP): Text classification, intent detection, embeddings, chatbots. • Vector Search & RAG: Elasticsearch, Weaviate, FAISS, LangChain, OpenAI/HuggingFace embeddings. • Computer Vision: Image recognition, quality inspection, anomaly detection. Why clients work with me: • PG Diploma in AI & ML (upGrad + IIIT Bangalore). • Hands-on delivery of 8+ AI/ML projects (finance, manufacturing, research). • Experience with large datasets (millions of rows, 10k+ documents). • Blend of academic depth + practical industry results. If you need: • AI Search / RAG pipeline for PDFs or databases • Predictive analytics & forecasting models • NLP chatbots for support & automation • Computer vision for inspection & detection 👉 Let’s talk. I’ll design a clear tech plan and deliver a working PoC you can test before full rollout.

🏆 TOP 10% ALL UPWORK | 100+ AI APPS DELIVERED | MILLIONS IN ROI GENERATED I design and deploy Machine Learning and Artificial Intelligence systems that replace manual decision-making, automate complex workflows, and unlock scale. If your business is struggling with fragmented tools, broken systems, or AI prototypes that never reach production, I turn them into reliable, revenue-driving systems. I don’t build demos. I build production AI. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ WHAT I BUILD ⚡ End-to-End AI & Automation Systems Custom Automation architectures using Python, JavaScript, APIs, and orchestration frameworks to eliminate repetitive work and scale operations. From internal tools to client-facing products, I build systems that run without babysitting. 🤖 AI Agents & Intelligent Applications Advanced AI Agent Development for decision support, autonomous workflows, and task execution. This includes AI Bot and AI Chatbot solutions powered by Generative AI Modeling, fine-tuned reasoning, and robust memory systems. 🧠 Machine Learning & Data Science Full-cycle Machine Learning pipelines covering Data Science, Data Analysis, feature engineering, training, validation, and deployment. I implement Deep Learning, Neural Network architectures, and TensorFlow-based models built for real-world performance. 🗣️ Natural Language & Conversational AI High-accuracy Natural Language Processing systems for classification, extraction, summarization, and conversational interfaces. This includes Chatbot Development and AI Chatbot systems trained on proprietary data. 🔗 API & Platform Integrations Robust API Integration and custom API development to connect CRMs, data warehouses, AI services, and third-party platforms. I specialize in AI Integration where AI must fit seamlessly into existing business logic. 🧩 Scripting, Automation & Web Agents Custom Scripting & Automation solutions for data workflows, internal tooling, and intelligent scraping. Includes Data Scraping, browser automation, and orchestration with tools like n8n for complex multi-step systems. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ RECENT PROJECTS → Enterprise AI Agent Platform Designed an autonomous AI system handling internal research, document synthesis, and task routing. Combined Artificial Intelligence, Machine Learning, and advanced APIs to reduce analyst workload by 70%. → AI-Driven Lead Generation Engine Built a fully automated Lead Generation system combining enrichment, scoring, and outreach logic. Integrated custom AI models with CRM workflows and external APIs for consistent pipeline growth. → Large-Scale NLP Document Intelligence Implemented a Natural Language Processing pipeline processing thousands of documents weekly. Included vector search, summarization, and semantic classification using Deep Learning techniques. → Production AI App Development Delivered a full AI App Development project with backend inference, frontend interfaces, and monitoring. The system used Python, JavaScript, and API Integration for scalable deployment. → Automation & Orchestration System Created a resilient orchestration layer using Automation tooling and n8n to coordinate AI tasks, data ingestion, and reporting across multiple platforms. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ TECH STACK Core Languages: Python • JavaScript AI & ML: Machine Learning • Artificial Intelligence • Deep Learning • Neural Network • TensorFlow Data: Data Science • Data Analysis • Data Scraping AI Systems: AI Agent Development • AI Bot • AI Chatbot • Chatbot Development • Generative AI Modeling Automation: Automation • Scripting & Automation • n8n Integration: API • API Integration • AI Integration NLP: Natural Language Processing Delivery: AI App Development • Lead Generation systems ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ HOW I WORK ✅ Clear discovery call to understand outcomes and constraints ✅ LEAN Development (every week you get something that you can use) ✅ Production-ready delivery with documentation ✅ Post-delivery support and optimization ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ 🎯 Have an AI or Machine Learning problem you want solved properly? Message me with the goal. I’ll tell you exactly how I’d build it.

We build production-ready AI systems Most teams we work with already have an idea or early implementation, but struggle with: • scaling AI features reliably • integrating LLMs into real products • building end-to-end systems that actually work in production That’s where we come in. What we deliver: • Full-stack AI applications (React + Python/FastAPI/Django) • LLM integrations (GPT, RAG, AI search, automation) • Scalable backend architecture for AI workloads • Deployment on AWS/GCP with proper MLOps pipelines • Performance optimization and monitoring Recent outcomes: • Reduced hiring shortlisting time by 35% (AI platform) • Improved scheduling efficiency by 30% • Increased user engagement by 25% in AI-powered app • Accelerated inspection workflows by 60% using computer vision