Hire the Best Knowledge Representation Specialists

Stop Wasting Millions on AI Models Crippled by Bad Data. Your AI model is only as powerful as its training data. Inconsistent data annotations sabotage performance, costing you weeks and millions in lost ROI. If your team is cleaning Machine Learning datasets instead of building, you need a better solution. As a Top Rated Plus expert, I deliver Training Ready Intelligence. My mission: transform your raw training data into high fidelity, structured assets for peak AI model performance in Computer Vision, NLP, and Machine Learning. I specialize in clean, reliable data annotation for images, video, and text. I ensure data quality directly impacts your model accuracy and bottom line. I've managed massive data labeling projects, consistently exceeding expectations. Why elite AI teams choose me: Guaranteed Accuracy: 100% pipeline ready data annotation, every time. No re work, no debugging. Zero Management Overhead: You define; I execute with precision and autonomy. Focus on AI development, not data prep. Accelerated ROI: Cut training cycles, deploy faster. Transform raw data into a competitive advantage. My Core Expertise: Image Annotation: Bounding Box, Polygon, Semantic Segmentation, Keypoint (Computer Vision) Video Annotation: Object Tracking, Event Detection (Computer Vision) Text Annotation: NER, Sentiment Analysis, Classification (NLP) Data Labeling & Dataset Preparation Ready to elevate your AI project? Click Message. Let's build the robust training data foundation your AI models deserve. Stop settling for "good enough" data annotation; get it right the first time. Best Regards, Parwiz

I build AI systems that reason, not just match vectors, From RAG-based chatbots to AI agents powered by Neo4j and OWL-based ontologies. Worked with Mercedes Benz, Philips and QpiAI before to make smart RAG and semantic knowledge systems. Hi, I'm a Ontologist + Graph Engineer with 2+ years of production experience helping startups and enterprises turn complex knowledge into smart, conversational systems Here are some of the things I know how to do: ⦁ LLMs & NLP: Raptor, GraphRAG, prompt engineering, semantic search, vector databases. ⦁ MLOps & Deployment: MLflow, DVC, CI/CD (Jenkins, CircleCI), model ensembling. ⦁ Ontology Engineering (OWL, SWRL, SKOS, Turtle): Crafting rich knowledge graphs with logical reasoning in Protégé. ⦁ RDF & Data Transformation: Structuring raw data into interconnected RDF triples. (JSON-LD, XML) ⦁ Semantic-AI Fusion: Blending symbolic reasoning with neural retrieval strategies like Raptor, Fusion, Query Expansion, Contextual Retrieval, and Re-ranking ⦁ Structured LLM Responses: Ensuring reliable, schema-aligned outputs using Pydantic for validation and API interaction ⦁ Model Integration: Leveraging OpenAI, open Source Models -LLaMA, Gemini and vector databases for efficient hybrid search. If you're building AI that needs to truly understand — not just retrieve — I’d be excited to collaborate.

I build production-grade GenAI systems for Fortune 500 enterprises including Verizon and PNC, : AI agents, RAG platforms, semantic layers, knowledge graphs, text-to-SQL/NLQ systems, and full-stack AI applications. I have 9+ years of experience across machine learning, computer vision, NLP, backend engineering, and full-stack product development. Recently, I have led large engineering teams building enterprise AI platforms for telecom and banking use cases. What I can help you build: • AI agent systems using LangGraph, LangChain, MCP, A2A, FastAPI, and custom tool orchestration • RAG applications over documents, databases, knowledge bases, and enterprise data • Semantic layers and ontology-driven systems for analytics and GenAI use cases • Text-to-SQL / natural language database querying over Postgres, BigQuery, and Teradata • Knowledge graph RAG using Neo4j, vector databases, metadata extraction, and domain modeling • Full-stack AI SaaS products with Python, React, Next.js, Docker, Kubernetes, and cloud deployment • LLM fine-tuning, evaluation, prompt engineering, retrieval evaluation, and hallucination reduction Relevant achievements: • Led a 14-member team to build an asynchronous, extensible, A2A-compliant agentic framework for enterprise troubleshooting. • Reduced ticket resolution time in a production troubleshooting workflow from days to minutes. • Built and deployed hundreds of tools across multiple MCP servers. • Led a 12-member team to build a natural language query platform for enterprise databases. • Improved NLQ accuracy using domain modeling, metadata generation, and knowledge graph traversal. • Built an ontology-powered Knowledge Graph RAG platform over unstructured enterprise data. • Co-founded and scaled an AI video translation/dubbing product from $0 to $100k revenue in 6 months. • Built computer vision systems deployed across industrial locations in India and Europe. Tech stack: Python, FastAPI, LangChain, LangGraph, LlamaIndex, OpenAI, HuggingFace, PyTorch, PEFT/LoRA, React, Next.js, Postgres, BigQuery, Neo4j, Pinecone, Docker, Kubernetes, ArgoCD, GCP, AWS, PySpark, Airflow. I am best suited for clients who need more than a prototype. I can help you go from ambiguous AI idea → system design → implementation → deployment → evaluation → production hardening.

I build and ship production AI systems that real users depend on, not demos. RAG pipelines, multi-agent LLM apps, fine-tuned models, and multimodal/OCR extraction, deployed to run 24/7 on Kubernetes and serverless GPU. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Top-Rated Plus | 100% Job Success | 4+ years ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Enterprise-grade AI for multinational companies and startups, including HIPAA-conscious healthcare workflows. I turn complex requirements into intelligent, production-ready applications that drive measurable results. ━━━━━━━━━━━━━━━━━━━━━ WHAT I DO BEST ━━━━━━━━━━━━━━━━━━━━━ Agentic AI & Multi-Agent Systems Custom architectures with LangGraph, CrewAI, and Model Context Protocol (MCP), including self-improving agents that learn from evaluation feedback. Built for real automation, not chatbot demos. Advanced RAG, Evaluation & Observability 10+ production RAG systems (self-RAG, adaptive retrieval), one serving hundreds of users across thousands of documents. Migrated Pinecone to Weaviate for better recall at lower cost. Every system ships with LLM-as-judge, retrieval metrics, and full tracing (LangSmith/Langfuse), so quality is measured, not guessed. LLM Fine-Tuning & Cost Optimization PEFT (LoRA/QLoRA), SFT, DPO, and instruction tuning. Fine-tuned a 7B Arabic model served on autoscaling serverless GPU, plus multimodal vision-language models. Cut client AI costs by up to 40% through open-source replacement and quantization, with no drop in performance. Multimodal & Document AI OCR and document-extraction pipelines across PDF, DOCX, PPTX, Excel, and images, with strong F1 on messy financial and clinical documents. Also built a temporal, multi-hop knowledge graph over an encrypted Postgres + Qdrant store with client-side encryption. AI Automation & Integrations Connecting LLMs to real business systems: n8n, Make (Integromat), Zapier, CRM automation (HubSpot, GoHighLevel, Airtable), Supabase backends, and Twilio/WhatsApp. AI that plugs into how your team actually works. Enterprise Backend & Scalable Infra Master-level Python (FastAPI, Flask), robust CI/CD, and multi-cloud deployment (AWS, Azure, GCP). Docker + Kubernetes with KEDA autoscaling, plus privacy-first, multi-tenant systems (E2EE, RBAC, audit logging), including HIPAA-conscious PHI handling. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Agents & LLMs: LangChain, LlamaIndex, LangGraph, CrewAI, MCP, Hugging Face (PEFT/TRL), Ollama, TGI, vLLM ▸ Eval & Tracing: LangSmith, Langfuse, LLM-as-judge, custom eval frameworks ▸ Vector DBs: Weaviate, Pinecone, Qdrant, FAISS, ChromaDB ▸ Models: OpenAI, Claude, Gemini, fine-tuned open-source ▸ Automation: n8n, Make (Integromat), Zapier, Supabase, Twilio ▸ Backend: Python (FastAPI, Flask), TypeScript/Node (NestJS, NextJS), PostgreSQL, MongoDB ▸ MLOps & Cloud: Docker, Kubernetes, KEDA, CI/CD, Airflow, MLflow; AWS (SageMaker, Lambda), Azure ML / Azure OpenAI, GCP, serverless GPU ▸ CV & Data: OCR optimization, vision-language models, Stable Diffusion, web scraping ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY CLIENTS PICK ME ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ Ships to production. I build AND deploy. You get systems that run 24/7 and scale, not a prototype someone else has to finish. ▸ Proven track record. Top-Rated Plus, 100% Job Success, enterprise and healthcare AI delivered end-to-end. ▸ Innovation-driven. I bring the latest (MCP, adaptive RAG, new model releases) into production. ▸ Cost-conscious. High-performance AI that optimizes spend without compromising quality. ▸ Quality-first. Production-grade code, proper testing, and evaluation built in. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Building an AI product, or need one taken from prototype to production and scaled reliably? Send me the brief and I'll tell you exactly how I'd approach it.

Full-Stack Developer | LLM | AI & ML Developer | Scalable Web Solutions| Neo4j Certified 🚀 Let’s Build Something Game-Changing! With 8+ years of Full-Stack Development experience, I specialize in crafting scalable web applications, AI-powered RAG and GRAPHRAG solutions, and enterprise-grade platforms that solve real-world problems. Whether it’s optimizing workflows, integrating AI-driven insights, or building advanced search capabilities, I focus on delivering solutions that drive real impact. I don’t just write code—I bring ideas to life. From startups to large enterprises, I ensure seamless execution, clear communication, and measurable results at every stage. Need innovation, scalability, and precision in your project? Let’s make it happen. Let’s build something great together! 💡🚀 Skills & Expertise: Full-Stack Development: PHP (Laravel), JavaScript/TypeScript (Node.js, React), Python AI & Advanced Technologies: RAG and GraphRAG architectures Database Mastery: SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Neo4j) Enterprise Integration: KYC solutions, payment systems, regulatory compliance Mobile Development: Cross-platform with React Native and Ionic Cloud & DevOps: AWS, Docker, Kubernetes Recent Successes: Led RAG/GraphRAG AI implementations for enterprise applications Boosted query performance by 40%, cutting costs by up to 40% Delivered fintech solutions for millions of users Why Choose Me: Clear communication and reliable project management Proven on-time delivery and scalable, maintainable solutions Transparent development process with regular updates Let’s create solutions that drive your business forward!

Are you struggling with data quality, AI model output accuracy, or inefficient operational workflows? I help tech companies and fast-growing businesses scale by bridging the gap between raw data and actionable results. Whether you need an AI Quality Analyst to refine your LLM outputs or a CRM Architect to automate your sales pipeline, I provide the engineering precision you need to stay competitive. My approach combines deep analytical rigour with hands-on operational experience, ensuring your systems are not just running, but optimized for scale. 🚀 REAL-WORLD IMPACT & SOCIAL PROOF: • AI & LLM Quality: Applying engineering-based evaluation frameworks to ensure high-fidelity data outputs and logic accuracy in AI training. • Workflow Optimization: Engineered a data-driven strategy that delivered a measurable 33% reduction in ongoing operational expenditures for a commercial platform. • CRM Architecture: Designed and deployed end-to-end HubSpot & MailerLite pipelines, transforming fragmented data into transparent, automated workflows. • Audit & Compliance: Conducted meticulous record auditing in high-compliance environments, managing strict technical standards with zero tolerance for errors. 👉 Ready to elevate your data accuracy or streamline your operations? Let’s connect and map out your strategy. 🔧 WHAT I CAN DO FOR YOU: • AI Training & LLM Evaluation: Rigorous content evaluation, prompt logic testing, and data annotation to improve model performance and reliability. • CRM Architecture & Setup: Building, cleaning, and structuring your HubSpot CRM to ensure flawless tracking across the entire customer journey. • Data & Compliance Auditing: Reviewing systems, historical records, and operational frameworks to find hidden financial gaps and mitigate operational risks. • Process Automation: Eliminating manual bottlenecks by connecting your tech stack into a seamless, automated digital ecosystem. 🛠 SKILLS & EXPERTISE: • AI & Data: Generative AI, LLM Evaluation, Data Annotation, Quality Assurance (QA), Data Analysis. • CRM & Automation: HubSpot, MailerLite, Marketing Automation, Workflow Design, Process Mapping. • Systems & Engineering: Financial Modeling, Contract Auditing, AutoCAD, Technical Documentation. • Methodologies: Agile/Sprint Frameworks, B2B Operations, Data-Driven Decision Making. 📩 Every unoptimized model or manual workflow is a missed opportunity. Send me a message today, and let’s discuss how I can help you scale your operations and refine your data.