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I help startups, SaaS companies, and e-commerce brands turn data and AI into real business results — smarter predictions, faster automation, and high-impact AI content. With 100% Job Success Score and Top Rated Badge across 26 projects on Upwork, I deliver production-ready solutions across five high-growth AI and data disciplines: MACHINE LEARNING ENGINEERING I design, train, and deploy predictive models for churn prediction, demand forecasting, lead scoring, recommendation engines, and anomaly detection. Stack: Python, Scikit-learn, XGBoost, PyTorch, TensorFlow, MLflow. DATA SCIENCE & ANALYTICS End-to-end data pipelines, exploratory analysis, experiment design (A/B testing), KPI dashboards, and clear reports that non-technical teams can act on. Tools: Python, Pandas, NumPy, SQL, Matplotlib, Seaborn. AI & PROMPT ENGINEERING I build LLM-powered workflows, RAG chatbots, and multi-agent systems using GPT-4/4o, Claude, LLaMA, LangChain, Hugging Face, and vector databases (Pinecone, ChromaDB, Neo4j). Prompt libraries, FAQ bots, research copilots, and AI-driven content automation integrated with your existing tools (Slack, Notion, Shopify, CRM). AI VIDEO SPECIALIST I produce AI-generated video content — product explainers, training modules, and social media clips — using AI avatars, voice synthesis, and prompt-driven scripts. AI video grew 329% year over year on Upwork in 2025 and I stay current with the latest tools to deliver fast, scalable content packages. CYBERSECURITY-AWARE AI SYSTEMS I build AI and ML solutions with security best practices baked in — controlled data access, secure API usage, and audit-friendly pipelines aligned to your organization's policies. TYPICAL DELIVERABLES - ML models: forecasting, classification, regression, anomaly detection - NLP pipelines: sentiment analysis, topic modeling, document Q&A - LLM apps: RAG chatbots, AI agents, prompt libraries, workflow automation - AI video: short-form clips, product demos, training videos - Dashboards and reports stakeholders can use without a data background Why clients work with me again: Clear communication | Business-first thinking | Fast turnaround Share your goal and I will propose a concrete plan with timeline, deliverables, and milestones.

🏆 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 - 𝗧𝗼𝗽 𝟭% 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 ✅ 𝟕+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 ⏰ 𝟏𝟐𝟎𝟎𝟎 + 𝐔𝐩𝐰𝐨𝐫𝐤 𝐇𝐨𝐮𝐫𝐬 | 𝟏𝟎𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 ⭐️ $𝟕𝟎𝟎𝐤+ 𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐨𝐧 𝐔𝐩𝐰𝐫𝐨𝐤 I’m Abdul, an Upwork Certified AI/LLM engineer with 7+ years of experience helping startups and growing teams build smart AI solutions. From autonomous agents, MVPs, AI-native products to intelligent analytics and cloud-ready deployments, I will help scale your operations, workflows, and revenue. —------------------------------------------------------------------- ⭐️𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐛𝐲 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐋𝐞𝐚𝐝𝐞𝐫𝐬⭐️ “Abdul helped us rethink our lead gen with AI-powered decision-making. His work with LLMs and pipelines was key.” — HS, Director of Data & ML, EZ Pack “Game-changer. Abdul brought serious AI expertise that moved the needle fast.” — Thomas E., CEO, Mission BI —------------------------------------------------------------------- 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ➡️ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐬 Autonomous LLM agents, domain-tuned business assistants, task automation, human-like conversational interfaces (OpenAI, Claude, open-source models) ➡️ 𝐑𝐀𝐆 (𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧) Hybrid semantic search + generation, document & knowledge-base Q&A, contextual accuracy tuning, vector-store architecture ➡️ 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 Domain-specific fine-tuning (QLoRA), benchmark evaluation (perplexity, BLEU, custom QA metrics), reliability & guardrail testing ➡️ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Python-based workflow automation, process orchestration, manual-work reduction, API & systems integration, n8n, make. ➡️ 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 Multi-agent data analysis, auto-generated dashboards & reports, structured + unstructured data pipelines, decision recommendations ➡️ 𝐂𝐥𝐨𝐮𝐝-𝐑𝐞𝐚𝐝𝐲 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Production-scale deployment on AWS (Bedrock, SageMaker), GCP (Vertex AI), Azure, and Databricks —------------------------------------------------------------------- 💰 𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 -Helped clients raise $3M+ through AI-powered growth. -Built 50+ AI systems, from multi-agent tools to insight engines. -Drove a 17% revenue increase in 7 months for a US startup. -Impacted 300,000+ users through data-led product strategies. -Graduated in the Top 5% in my Master’s degree class (specialization in AI) —------------------------------------------------------------------- 🛠️ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 LLMs & Agents: GPT-4, Claude, LLaMA, Mistral, LangChain, LlamaIndex, MemGPT RAG Stack: FAISS, ChromaDB, Pinecone, Weaviate LLM Ops: Fine-tuning, Prompt Engineering, Evaluation Metrics, Guardrails Dev & Infra: Python, FastAPI, LangGraph, Streamlit, Chainlit, Flask Data Pipelines: PySpark, SQL, Event-Driven Workflows, Cloud Functions Cloud Platforms: AWS, GCP, Azure, Bedrock, SageMaker, Vertex AI, Databricks —------------------------------------------------------------------- I am available to understand your project needs and deliver the best solution efficiently. Click on the “Message” button and let’s have a chat —------------------------------------------------------------------- Keywords associated with my skill set: AI Agent Developer, AI Consultant, Chatbot Developer, AI Automation Expert, AI Integration Specialist, Machine Learning Engineer, LLM Developer, Generative AI, Agentic AI, Multi-Agent Systems, Large Language Models (LLMs), GPT-4, Claude, LLaMA, Mistral, LangChain, LlamaIndex, LangGraph, Retrieval-Augmented Generation (RAG), Semantic Search, Knowledge Retrieval, Vector Databases, FAISS, ChromaDB, Pinecone, Weaviate, Custom Embeddings, Memory Layers, Prompt Engineering, LLM Fine-Tuning, LLM Evaluation, MLOps, Model Deployment, AI Data Analysis, NLP, Python, FastAPI, Chainlit, Data Pipelines, PySpark, SQL, AWS, GCP, Azure, Bedrock, Vertex AI, SageMaker, Databricks, Cloud Functions, API Integration, Open Source Models, Healthcare AI Engineer, Healthtech, Edutech, Fintech.

Hi, I'm Vlad 👋 Senior AI Engineer, 6+ years in IT. I ship AI features into B2B SaaS products and engineer them to survive production. For 2 years I was on the core team at Sellify AI, a vertical SaaS that sells outcome-priced AI sales agents to the US pest-control industry. What the system I helped build did for customers (public case studies): → Ninefold: $620k in new sales and 1,100 new accounts → HomeTeam, one of the largest pest-control operators in the US: over $1M in new revenue in a single month → Enviroguard: the AI agent sold 769 accounts in a year, roughly twice what the top human rep sold → Some features I worked on were so technically complex that several Sellify competitors couldn't figure out how to copy them. They updated their landing pages for the hype, but those features are still "coming soon" at the time of writing this. Those same features closed multi-six-figure clients. → Also built the integration with a complicated legacy pest-control CRM that became Sellify's moat and unlocked a major client Since then I've been the contract Senior AI Engineer for a recruitment-AI SaaS (1+ year, working directly with the founder): → Shipped a job-monitoring agent that's now live across several recruitment agencies. It watches job portals, filters per recruiter, and reaches recruiters over WhatsApp with human-in-the-loop approval flows → Built the e2e evals system (running in CI) so the client's internal dev team, with zero prior AI experience, maintains and extends everything without needing me → Also shipped a Meta ads agent: full campaigns from a vacancy description, generated creatives, competitor research through the Ad Library One of my clients Ove Andre Remme hired a freelancer with 20+ five-star reviews before me. Two weeks later he got a custom GPT that didn't do the job. I rebuilt it, and his verdict on the output quality was "perfect" (testimonial on my profile). Why this matters to you: the demo is the easy 20%. What I ship includes the other 80% - an eval suite in CI so regressions get caught before your customers see them, staged rollout where write-access is earned and anything touching money keeps a human approval step, cost engineering for scale, also docs and training so YOUR team owns it after I leave. Top Rated Plus (top 3% on Upwork) · 5.0 · 100% Job Success. If you're a SaaS founder with an AI feature on the roadmap, or a stalled attempt, message me. First step is a scoping conversation where I map architecture, cost at your scale, and timeline for your specific product. Tools I frequently use: • AI: Claude API, OpenAI API, Gemini, LLM-as-judge guardrails, prompt caching & cost optimization, AI agents & multi-agent systems, RAG, evals/CI for LLM systems, LangChain, structured outputs, function/tool calling • Integrations: Salesforce, HubSpot, legacy CRM integrations, WhatsApp (Twilio/Meta), Meta Ads API & Ad Library, Calendly, Shopify, WordPress/WooCommerce, Stripe, REST/webhooks/OAuth • Engineering: Python, TypeScript/Node.js, Java, React/Angular, PostgreSQL, Docker, microservices, GitHub Actions CI/CD, monolith→microservices refactoring • Product: agentic architecture design, human-in-the-loop workflows, cost/latency modeling, staged rollouts, documentation & team training

I build AI systems that don’t break in production, don’t crumble at scale, and don’t become your next expensive rewrite. Over the past year I've shipped a voice AI healthcare assistant handling 50,000+ users (cutting staff workload by 70%), built agentic workflows for real-time patient triage and scheduling, and developed LLM infrastructure that runs in live enterprise environments. I currently build tooling for enterprise companies including a platform for deploying and scaling AI models in production. My core stack: → Voice & Real-Time AI: LiveKit, Deepgram, Cartesia → Agentic Systems: LangChain, OpenAI API, multi-agent orchestration → LLM Deployment: vLLM, Ollama, Hugging Face, GPU inference, CUDA → Full-Stack: React.js, Next.js, FastAPI, Django, Node.js → DevOps / Infra: Docker, Kubernetes, Grafana, Linux, Slurm What I build: - AI voice agents for customer-facing and healthcare use cases - Agentic automation pipelines (lead generation, triage, scheduling) - LLM infrastructure including both local and cloud deployment, inference optimization - Full-stack AI-powered applications with real backend systems - GPU clusters and HPC environments for AI research I've been awarded First Prize at the National Tech Expo for edge AI systems and built a 1.2 petaflop GPU cluster for AI research from scratch. If you need AI that integrates cleanly into real operations and delivers measurable output; let's talk.

Agentic AI | LLMs | RAG Systems | Workflow Automation (n8n, Make.com) | Python | Django I am Taimoor Amir, an AI Engineer specializing in Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent workflow automation. With a strong background in Data Science and Machine Learning, I build modular, production-grade AI systems that integrate Large Language Models (LLMs), no-code automation platforms (n8n, Make.com), and custom backend engineering — enabling businesses to operate faster, smarter, and more efficiently. My work focuses on designing systems where AI agents can reason, interact, and act autonomously — transforming static operations into self-optimizing intelligent workflows. Core Expertise 1. Agentic AI & LLM Engineering ✥ Build autonomous AI agents using LangChain, LangGraph, OpenAI, and Anthropic APIs. ✥ Design reasoning-driven systems capable of decision-making and API interaction. ✥ Integrate vector databases (Pinecone, FAISS, Chroma) for long-term memory and retrieval. 2. Retrieval-Augmented Generation (RAG) Systems ✥ Implement context-aware knowledge systems for enterprise document management. ✥ Develop RAG-based assistants that combine search, summarization, and reasoning. 3. Workflow Automation (n8n, Make.com, Zapier) ✥ Automate business-critical workflows with hybrid AI + no-code pipelines. ✥ Integrate external APIs, CRMs, and databases into intelligent automation systems. 4. Machine Learning & Data Engineering ✥ Build end-to-end ML systems for NLP, recommendation, and forecasting. ✥ Develop ETL pipelines and orchestration frameworks using Airflow, Pandas, and MongoDB. 5. Chatbot & Agent Integration ✥ Create multi-platform chatbots for WhatsApp, Slack, Messenger, and custom web apps. ✥ Integrate LLM-powered backends for contextual and dynamic conversational behavior. 6. Data Visualization & Analytics ✥ Develop interactive dashboards using Power BI, Tableau, and custom React-based interfaces. Backend & Infrastructure Expertise ✥ Languages: Python, JavaScript, Node.js ✥ Frameworks & Libraries: LangChain, LangGraph, FastAPI, Express.js, TensorFlow, PyTorch ✥ Automation Platforms: n8n, Make.com, Zapier ✥ Databases: MongoDB, PostgreSQL, Pinecone, FAISS, Chroma ✥ Data Tools: Pandas, NumPy, Scikit-learn, Apache Airflow AI/ML & Agentic Systems Expertise ✥ LLM Development: Fine-tuning, prompt engineering, and performance optimization. ✥ RAG Implementation: Context retrieval, knowledge graph integration, and hybrid search. ✥ AI Agents: Modular, tool-using AI systems for autonomous decision-making. ✥ Automation Architecture: Combining LLM intelligence with n8n and Make.com workflows. ✥ Vector Databases: Implementation and optimization for scalable knowledge storage. ✥ Model Integration: Embedding AI systems with APIs, CRMs, and custom business tools. Key Differentiators ✥ End-to-End Expertise: From concept design to production deployment of intelligent systems. ✥ Cross-Disciplinary Skills: Strong command of AI, automation, backend, and data pipelines. ✥ System Reliability: Focus on modular, maintainable, and future-proof architectures. ✥ Business Alignment: AI solutions that enhance ROI and operational efficiency. ✥ Proven Delivery: Hands-on results across SaaS, e-commerce, healthcare, and finance sectors. Client-Focused Approach I focus on delivering intelligent, high-impact AI systems that solve real business problems. Whether you need a custom LLM-powered agent, a RAG-based assistant, or an AI-automated workflow, I bring together the right mix of research-level insight and engineering precision to help your business scale intelligently. If you’re ready to elevate your operations through AI, automation, and reasoning-based intelligence, let’s discuss how I can help you design and deploy your next-generation AI system. Areas of Expertise AI Engineer, Agentic AI Developer, LLM Engineer, Machine Learning Engineer, Automation Architect, Workflow Automation (n8n / Make.com), Conversational AI Developer, RAG System Developer, AI Integration Engineer, Python Developer, Django Developer, LangChain Engineer, AI Chatbot Developer, Vector Database Specialist, Data Pipeline Developer, FastAPI Developer, API Integration Specialist

𝐀𝐈 𝐢𝐬 𝐨𝐧𝐥𝐲 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐰𝐡𝐞𝐧 𝐢𝐭 𝐫𝐮𝐧𝐬 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 — 𝐧𝐨𝐭 𝐰𝐡𝐞𝐧 𝐢𝐭 𝐬𝐢𝐭𝐬 𝐢𝐧 𝐚 𝐝𝐞𝐦𝐨. I design and build 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 ai systems that combine 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, and 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 into one cohesive, production-ready ecosystem. 𝐅𝐫𝐨𝐦 𝐝𝐚𝐭𝐚 𝐢𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 → 𝐌𝐋 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 → 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐠𝐞𝐧𝐭𝐬 → 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 → 𝐮𝐬𝐞𝐫-𝐟𝐚𝐜𝐢𝐧𝐠 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐈 𝐡𝐚𝐧𝐝𝐥𝐞 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐥𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞 — 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐢𝐬 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐮𝐬𝐚𝐠𝐞. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 (𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝) 🤖 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 I specialize in "Agentic" workflows where AI can use tools, remember context, and collaborate: Frameworks: LangGraph, CrewAI, and LangChain. Capabilities: Tool-calling, persistent memory, and multi-agent systems. Agentic Workflows: n8n-based logic for complex decision routing. Use Cases: Automated Lead Qualification, AI Support Resolution, and Operations Routing. 📊 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 I build custom ML pipelines that turn raw data into foresight: Forecasting: Predictive analytics for sales and market trends. Security: Anomaly and fraud detection systems. End-to-End MLOps: Data collection, feature engineering, model training, and monitoring. ⚙️ 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I replace manual overhead with event-driven ecosystems: Platforms: Expertise in n8n, Make, and Zapier. Custom Logic: Deep Python-based automations for complex logic. Impact: Real-time reporting, automated sales pipelines, and AI-triggered operations. 🌐 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 I provide a single point of accountability for your entire application: Backend: Production-grade FastAPI and Node JS APIs with RAG integration. Frontend: React dashboards and AI Copilot interfaces. Knowledge Bases: Vector databases like Pinecone and Weaviate for enterprise RAG. 🛠️ 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 AI & Agents: LangGraph, CrewAI, LangChain, OpenAI, Claude, Gemini. ML Systems: Python, PyTorch, Scikit-learn, Hugging Face. Automation: n8n, Make, Zapier, Custom Python Scripting. Full-Stack: React, FastAPI, Node JS, PostgreSQL, Vector Databases. Infrastructure: AWS, GCP, Docker (Microservices-ready). 💡 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 Systems Thinking: I design interconnected AI ecosystems, not isolated features. Production-First: No fragile prototypes. Every system is built to be secure and scalable. Direct ROI: I focus on automation that pays for itself by reducing overhead and error. 𝐋𝐞𝐭’𝐬 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐢𝐧𝐭𝐨 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐡𝐨𝐰 𝐰𝐞 𝐜𝐚𝐧 𝐬𝐜𝐚𝐥𝐞 𝐲𝐨𝐮𝐫 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈.