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Building Reliable AI Solutions Backed by Cutting-Edge Research Looking for an AI solution that goes beyond a basic model or prototype? I’m a Machine Learning Engineer and Computer Science PhD researcher specializing in Machine Learning, Deep Learning, Computer Vision, LLMs, Multimodal AI, and Medical AI. I help startups, businesses, and research teams turn complex ideas and data into reliable, practical AI solutions. I can help you with: • Machine Learning & Deep Learning — custom models, prediction systems, classification, and optimization • Computer Vision — image classification, medical imaging, feature extraction, and deep learning pipelines • LLMs & Generative AI — LLM-based applications, NLP pipelines, and intelligent AI systems • Multimodal AI — solutions combining images, text, tabular data, or other modalities • Medical & Healthcare AI — medical image analysis, robust AI models, and research-driven implementations • AI Research & Implementation — reproducing research papers, implementing novel methods, experimentation, and evaluation • Technical AI Consulting — architecture decisions, model selection, project roadmaps, and research direction Why work with me? My work combines research-level AI expertise with practical implementation. Rather than simply training a model, I focus on understanding your problem, selecting the right methodology, building a clean and reproducible pipeline, evaluating it properly, and delivering a solution you can actually use or extend. My technical stack includes Python, PyTorch, TensorFlow, scikit-learn, OpenCV, and modern deep learning and AI frameworks. Whether you already have a well-defined project or just an idea and need help determining the best technical direction, I’d be happy to discuss it. Send me a message or book a consultation, and let’s turn your AI idea into a practical solution.

I am a Machine Learning Engineer and Data Scientist with five years of experience specializing in deep learning and time-series forecasting. My work includes developing end-to-end machine learning pipelines, utilizing tools such as PyTorch, FastAPI, Docker, and GCP to ensure scalable production-ready systems. As a published researcher, I have contributed to advancements in transformer-based financial forecasting, focusing on innovative data augmentation strategies that enhance model performance. I excel at transforming complex data into actionable insights, and I am driven to tackle challenging projects that push the boundaries of technology. If you seek a professional who can effectively bridge the gap between data engineering and deployment, I am here to collaborate and elevate your AI initiatives. Let's discuss how I can bring your project to fruition.

𝐌𝐨𝐬𝐭 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐟𝐚𝐢𝐥 𝐧𝐨𝐭 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐨𝐟 𝐛𝐚𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲, 𝐛𝐮𝐭 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐭𝐡𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐛𝐞𝐡𝐢𝐧𝐝 𝐢𝐭 That's exactly the gap I close. I'm a Top Rated Plus AI Engineer in the top 1% on Upwork. 100% Job Success Score. My AI systems have generated over $100k in measurable revenue for my clients. 20+ completed projects. Zero failed deliveries. 💬 Not sure where to start? DM me and I'll set up a FREE 30 minute AI strategy call I'll map out exactly what your project needs, at no cost to you. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ I have shipped 𝟐𝟎+ 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈/𝐌𝐋 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 LLM applications, RAG pipelines, AI agents, and voice AI for SaaS startups, product teams, and enterprise businesses, backed by 7+ years of engineering experience and a 5.0 rating across every completed project. If you need more than a prototype, I can take your AI product from architecture and model selection to API integration, evaluation, cloud deployment, observability, and scaling. I’m Ali H., a Senior AI/ML and LLM Engineer with 7+ years of experience across Generative AI, machine learning, NLP, backend engineering, data pipelines, and cloud AI infrastructure. I build reliable AI systems that work with real business data, tools, APIs, and users. 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝: ✔ AI agents and multi-agent systems ✔ RAG chatbots and enterprise knowledge assistants ✔ AI voice agents and conversational AI ✔ Generative AI and machine learning applications ✔ LLM fine-tuning and open-source model deployment ✔ Document AI and intelligent data extraction ✔ AI workflow automation with n8n and APIs ✔ Scalable AI SaaS products and inference systems 𝐀𝐈 𝐂𝐨𝐦𝐩𝐚𝐫𝐞 𝐇𝐮𝐛— RAG Knowledge Platform Built a Retrieval-Augmented Generation system using OpenAI, LangChain, embeddings, vector search, metadata filtering, source citations, and document-based question answering. 𝐅𝐢𝐧𝐇𝐞𝐚𝐥𝐞𝐫 — AI Finance Assistant Developed an AI-powered finance platform with LLM integration, structured outputs, financial data processing, intelligent recommendations, secure APIs, and scalable SaaS architecture. 𝐁𝐢𝐚𝐧𝐭𝐡 — AI Customer Support System Built an AI support assistant for automated customer conversations, knowledge retrieval, ticket handling, response generation, API integrations, and workflow automation. 𝐌𝐢𝐦𝐢 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐀𝐠𝐞𝐧𝐭 — Voice AI Platform Developed inbound and outbound AI voice agents using Twilio, ElevenLabs, OpenAI, and Google Calendar for lead qualification, appointment booking, call routing, summaries, and CRM updates. 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Created AI agents using LangGraph, LangChain, Python, n8n, APIs, webhooks, and CRM integrations for research, lead management, document processing, reporting, and human approval workflows. 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐚𝐧𝐝 𝐋𝐋𝐌 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 Built scalable AI applications using Python, FastAPI, Node.js, PostgreSQL, Docker, AWS, GCP, vector databases, CI/CD, monitoring, caching, authentication, and cost-optimized LLM deployment. I focus on production reliability, response accuracy, low latency, security, maintainability, and cost-efficient scaling 𝒏𝒐𝒕 𝒋𝒖𝒔𝒕 𝒅𝒆𝒎𝒐𝒔 Core Expertise: AI Engineer, Machine Learning Engineer, LLM Engineer, Generative AI Developer, AI Agent Developer, RAG Developer, AI Chatbot Developer, Voice AI Developer, LangChain, LangGraph, CrewAI, AutoGen, OpenAI API, Claude API, Gemini API, Hugging Face, Vector Database, Pinecone, pgvector, FastAPI, LoRA, QLoRA, AWS Bedrock, vLLM, AI Automation, n8n, Multi-Agent Systems

I help businesses and research teams improve AI systems by providing high-quality data annotation, LLM evaluation, research support, and machine learning solutions. My services include: * AI data annotation and labeling * LLM response evaluation and quality assessment * Research support and literature review * Machine learning and computer vision development * Remote sensing image analysis * Python-based data processing and model implementation * Japanese-English technical support and translation I am currently a PhD candidate in Machine Learning with over four years of research experience. My work focuses on noisy label learning, computer vision, and remote sensing, and I have published research in leading international journals, including IEEE TPAMI. Whether you need reliable AI training data, accurate model evaluation, research assistance, or support implementing machine learning solutions, I provide clear communication, high-quality work, and on-time delivery. I am committed to building long-term relationships by delivering dependable results and helping clients solve practical AI and data challenges.

I build AI that works in production. Not demos. Two things I do most. Custom ML and AI builds (scoring models, NLP, RAG, GPT-4 and Claude integrations). And making operational tools smart with automation and AI agents. ClickUp is where I do a lot of this, but the same approach works for any workflow tool your team lives in. I mostly work with startups and small-to-mid sized teams (10-50 people) who have outgrown spreadsheets and manual processes but are not ready to hire a full data team. A couple of examples. A 35-person marketing agency hired me to fix their ClickUp. I rebuilt the whole workspace. New structure, automated handoffs across six departments, AI briefing summaries. Saved them 15+ hours a week and cut handoff mistakes by more than half. For another client I built a RAG system on top of their internal docs so their support team could answer customer questions in seconds instead of digging through Notion for 20 minutes. Stack I use most: Python, scikit-learn, XGBoost, spaCy, HuggingFace, OpenAI, Anthropic, Streamlit. Cursor and Claude every day for shipping faster. Next.js, Postgres, Make, n8n when the project needs it. I document everything and hand it off properly. Nothing I build falls apart when I leave. Clean code, real docs, support after delivery so your team owns it. If any of this sounds like what you need, send me a message and tell me what you are trying to fix. I will tell you honestly if I am the right person for it.

I am a machine learning engineer with a strong interests in reinforcement learning, biotechnology, and bioinformatics. I have experience in deep learning, computer vision, and AI model development, in particular, creating models to analyse medical images to detect diseases and process single-cell RNA sequencing (scRNA-seq) data for biological insights. I hold a bachelors degree in biotechnology minoring in bioinformatics and a masters degree in data science. My expertise includes: - Reinforcement Learning algorithms to play video games - Computer Vision & Deep Learning (CNNs, Transformers) - Bioinformatics & Computational Biology (sequence analysis, protein structure prediction) - Data Science & Predictive Analytics (statistical modeling, data visualization) - Python, TensorFlow, PyTorch, OpenAI Gym, Scikit-learn