Ali D.
Full Stack AI/ML Engineer | Data Scientist | Python | FastAPI | AWS
Are you looking to integrate custom LLM Agents, ChatGPT/Claude/Gemini, or highly accurate RAG pipelines into your systems without the operational complexity? I build deterministic, scalable, and cost-optimized AI solutions that drive real business value—from initial concept to full AWS deployment. I am a Full-Stack AI/ML Engineer who bridges the gap between cutting-edge Artificial Intelligence and robust software engineering. I don't just train models in notebooks; I conceptualize, design, develop, test, refine, and deploy AI systems that integrate seamlessly into your existing software infrastructure. My approach focuses on solving the biggest bottlenecks in modern AI: reducing API costs, eliminating latency, preventing hallucinations, and lowering operational complexity. Whether you need a custom LangGraph multi-agent system, an intelligent CRM integration, or a scalable backend API, I build solutions with scalability, speed, and maintainability in mind. CORE EXPERTISE & HIGH-DEMAND SOLUTIONS I BUILD: LLM Integrations & Advanced Agentic Workflows • API Integrations: Deep expertise in OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini, and open-source models (Qwen, Llama, Mistral). • Agent Architectures: Building complex, multi-agent systems using LangGraph and custom frameworks. • Cost & Speed Optimization: Implementing model routing, response caching, and prompt engineering to keep API costs down while maximizing speed. • Deterministic AI: Forcing LLMs to produce structured, predictable outputs using Pydantic, JSON schemas, and function calling. • Smart Feature Extraction: Offloading tasks from expensive LLMs to efficient algorithms whenever possible to save you money and ensure accuracy. RAG Pipelines & Intelligent Data Processing • Enterprise RAG: Building Retrieval-Augmented Generation systems (document ingestion, hybrid retrieval, response generation) with extreme accuracy and consistency. • Vector Search: Implementing advanced search algorithms using Vector Databases (Pinecone, Chroma, etc.). • Document Parsing & OCR: Extracting actionable data from PDFs, Word docs, Excel, CSVs, and integrating them into your AI systems. AI Automations & Third-Party Integrations • Workflow Automation: Building no-code/low-code pipelines using n8n, Make, and Zapier to create end-to-end AI-powered workflows. • Platform Integrations: Connecting AI agents to Slack, ClickUp, WhatsApp, Twilio, Shopify, Amazon, Monday, Notion, Airtable, HubSpot, Salesforce, Zapier, Make, Google Workspace, Microsoft Teams, Discord, Telegram and existing CRMs to automate business management. • Webhooks & Custom APIs: Developing secure webhooks to route data flawlessly between platforms. Voice AI & Computer Vision • Speech-to-Text & Text-to-Speech: Integrating state-of-the-art voice pipelines (WhisperX, Faster-Whisper, Deepgram, ElevenLabs, Retell, Pyannote for speaker diarization). • Computer Vision: Developing comprehensive Deep Learning solutions including Object Detection (YOLO architectures), Image Classification, Facial Recognition, and Semantic Segmentation (DeepLabV3+). Expertise in PyTorch/Torchvision frameworks and building robust image processing pipelines with OpenCV. Data Science, Predictive ML & LLMOps • Predictive Analytics: Beyond GenAI, I utilize the Python data stack (Pandas, NumPy, Scikit-learn, XGBoost) for deep data analysis, forecasting, and classification on structured business data. • Security & Monitoring: Ensuring enterprise data privacy by deploying air-gapped local LLMs (Ollama, vLLM) and using LLMOps tools (LangSmith) to track agent behavior, rigorously evaluate RAG accuracy, and prevent prompt injections. Full-Stack Deployment, MLOps & Cloud Infrastructure • Backend Development: Writing powerful Python scripts and building ultra-fast APIs with Python FastAPI. • Cloud & DB: Deploying on AWS (EC2, S3, RDS, Lambda) with PostgreSQL and MongoDB architectures. • Containerization & Optimization: Dockerizing applications, utilizing ONNX and Quantization techniques to run heavy ML models on CPU for maximum cost efficiency. • Frontend/Dashboards: Creating interactive UIs with Streamlit for quick demonstrations and internal tools. PROVEN TRACK RECORD: As a graduate of Software Engineering and a highly prestigious, government-backed AI & Technology Academy, I thrive in high-pressure, results-oriented environments. My portfolio includes fully deployed systems such as: • AI-Powered Background Removers with Google OAuth and AWS deployment. • Fine-tuned NLP & RAG systems generating automated test queries. • Full-scale App Review Analyzers using BERTopic and AWS RDS. • Local, offline AI Agents with real-time web search capabilities. Let's Build Something Impactful. I am highly communicative, proactive, and dedicated to solving your specific business bottlenecks. Send me a message, and let's discuss how we can turn your data and ideas into a deployed, revenue-generating AI product.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $7.8k
Billed in all: $9,621$9.6k
$2.6k in the last 6 months
Earnings, last 30 days
Skill rankings: Top 8% in Model Optimization
Ranked by MRR among everyone on Upwork with the skill.
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