𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 | 𝐀𝐖𝐒 | 𝐄𝐓𝐋 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 | 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 | 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | 𝐋𝐋𝐌 | 𝐑𝐀𝐆 | 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 | 𝐧𝟖𝐧 | 𝐎𝐩𝐞𝐧𝐀𝐈 | 𝐏𝐲𝐭𝐡𝐨𝐧 I help businesses build scalable data pipelines and AI-powered systems that improve decision-making, reduce costs, and automate workflows. With 6+ years of experience as a Data Engineer and growing expertise in Generative AI, I design cloud-native data architectures and enhance them with AI-driven automation, insights, and intelligent workflows. Whether you're building from scratch, scaling your data systems, or looking to integrate AI into your operations, I deliver production-ready solutions that actually drive results. ⭐ 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐈'𝐯𝐞 𝐖𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡: 🔹Fintech Startup processing millions of transactions/month across the U.S. 🔹Global B2B SaaS Platform with data operations across 20+ countries 🔹EU Healthcare Analytics Provider working with sensitive PHI data 🔹Manufacturing Firm automating cross-platform data flows for ERP & MES 🔹Multiple Fortune-level enterprises through agency partnerships ⭐ 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: • ETL/ELT Expertise: Airflow, AWS Glue, SSIS, custom orchestration • Data Warehousing: Snowflake, Redshift, BigQuery, SQL Server, PostgreSQL • AWS Proficiency: Lambda, Step Functions, RDS, DynamoDB, S3, CloudFormation, Terraform •Programming: Python (pandas, boto3), SQL, Shell scripting • Automation & Integration: API ingestion, serverless workflows, CI/CD pipelines • BI & Analytics: Power BI, Tableau, QuickSight, Looker • Best Practices: Version control, unit testing, GitOps, Dockerized environments • Security & Compliance: Handling of PII/PHI, audit-ready pipelines ⭐𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗸𝗶𝗹𝗹𝘀: • Languages & Frameworks: Python, Django, FastAPI, React,Next, Streamlit • AI/LLM Tools: OpenAI API, LangChain, Langgraph, MCP, Anthropic, ElevenLabs, Whisper • Automation & Infra: RAG pipelines, multi-agent frameworks, workflow orchestration, AWS, Azure • Integrations: CRMs, ERPs, Firebase, Slack, MS Teams, custom APIs • ML&DL (Tensoflow,PyTorch) • NLP • Large Language Models (LLMs) • Prompt Engineering • GANs • QueryGeneration (GenQ) • GPL for semantic search • LangChain ⭐ 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? 🔹Client-Focused Delivery: I prioritize measurable impact and long-term value 🔹Clear Communication: Frequent updates, transparent planning, and no surprises 🔹Trusted Partner: Many clients return for new projects or refer others 𝗔𝗯𝗼𝘂𝘁 𝗺𝘆 𝗰𝗼𝗺𝗽𝗮𝗻𝘆: DotLabs is an Data engineering & AI-first development company specializing in Generative AI, automation, and domain-specific AI applications. With expertise in Python, JavaScript, AI frameworks, and cloud deployment, we deliver end-to-end, production-ready web and mobile solutions that turn AI innovation into real business impact. Let’s build a system that not only handles your data, but uses AI to make it smarter. Send me a message and let’s discuss your project. Data Engineering, AWS, ETL Pipelines, AI Automation, LLM, RAG, Chatbots

𝐀 𝐬𝐢𝐧𝐠𝐥𝐞 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚 𝐛𝐫𝐞𝐚𝐜𝐡 𝐧𝐨𝐰 𝐚𝐯𝐞𝐫𝐚𝐠𝐞𝐬 $𝟕.𝟒𝐌 — 𝐭𝐡𝐞 𝐜𝐨𝐬𝐭𝐥𝐢𝐞𝐬𝐭 𝐨𝐟 𝐚𝐧𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲. 𝐀 𝐟𝐚𝐢𝐥𝐞𝐝 𝐄𝐇𝐑 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐬𝐭𝐬 𝐲𝐨𝐮 𝐭𝐡𝐞 𝐰𝐡𝐨𝐥𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭. I build healthcare platforms that pass the security review and the clinician's daily use — the two places most health software dies. For 8+ years I've delivered HIPAA-compliant EHR, telehealth, and AI health platforms, including work that helped a client secure $7M+ in Series A funding. I don't just write code. I solve for 𝐢𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐝𝐚𝐭𝐚 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 so your product scales, performs, and earns trust. ***𝐖𝐡𝐚𝐭 𝐖𝐞'𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝*** - 𝐑𝐏𝐌 / 𝐑𝐓𝐌 / 𝐂𝐂𝐌 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐭𝐡𝐨𝐮𝐬𝐚𝐧𝐝𝐬 𝐨𝐟 𝐩𝐚𝐭𝐢𝐞𝐧𝐭𝐬 — automated device sync (PAP machines, pulse oximeters, Apple Watch, Garmin, Fitbit, Oura), real-time compliance dashboards with risk stratification, and EHR integration. Includes a custom 𝐀𝐈 𝐞𝐚𝐫𝐥𝐲-𝐰𝐚𝐫𝐧𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥 (trained on 28,000+ patients, 0.96 AUC) flagging adherence failure weeks ahead, plus automated billing under 2026 CMS RPM/RTM/CCM codes - 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐩𝐞𝐝𝐢𝐚𝐭𝐫𝐢𝐜 𝐭𝐡𝐞𝐫𝐚𝐩𝐲 𝐄𝐌𝐑 (OT/PT/ST/ABA) — multi-tenant, FHIR-native SaaS (Medplum) for outpatient, in-home, and school-based care. Onboarding, RBAC, scheduling, clinical documentation, and authorizations — with 𝐀𝐈-𝐚𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 (voice/text/structured) and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐑𝐂𝐌 (CMS-1500, Availity eligibility, AI compliance engine, claim-lifecycle tracking). Built to ONC certification criteria - 𝐒𝐮𝐧𝐧𝐲 𝐓𝐞𝐥𝐞𝐡𝐞𝐚𝐥𝐭𝐡 — 𝐩𝐚𝐭𝐢𝐞𝐧𝐭-𝐟𝐚𝐜𝐢𝐧𝐠 𝐭𝐞𝐥𝐞𝐡𝐞𝐚𝐥𝐭𝐡 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 + 𝐜𝐮𝐬𝐭𝐨𝐦 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐂𝐑𝐌 (in production). Patient self-scheduling synced to provider calendars, full lead lifecycle (capture → consent → conversion), segmented marketing automation, RingCentral click-to-call, and a clinician 𝐂𝐡𝐫𝐨𝐦𝐞 𝐞𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧 for in-EMR workflows. Bi-directional 𝐉𝐮𝐧𝐨 𝐄𝐌𝐑 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 (REST API), dynamic RBAC with PHI audit logging, 𝐏𝐈𝐏𝐄𝐃𝐀-𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 with Canadian data residency - 𝐂𝐚𝐢𝐫𝐚𝐬𝐮 𝐇𝐨𝐦𝐞 𝐂𝐚𝐫𝐞 — 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐡𝐨𝐦𝐞-𝐜𝐚𝐫𝐞 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 — three mobile apps (caregiver EVV, staff, client) plus admin/client web portals, multi-tenant, built for 10,000+ monthly visits. 𝐄𝐕𝐕 with GPS clock-in/out, offline sync, and signature capture; 𝐒𝐚𝐧𝐝𝐚𝐭𝐚 𝐀𝐠𝐠𝐫𝐞𝐠𝐚𝐭𝐨𝐫 integration for 21st Century Cures Act & state Medicaid compliance; an 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐩𝐚𝐲𝐫𝐨𝐥𝐥 𝐞𝐧𝐠𝐢𝐧𝐞 (timesheets, overtime/PTO rules, federal/state/Medicaid tax, pay stubs) and double-entry expense/budget ledger with QuickBooks export - 𝐬𝐨𝐡𝐞𝐚𝐥𝐭𝐡𝐟𝐮𝐥 — 𝐅𝐇𝐈𝐑-𝐧𝐚𝐭𝐢𝐯𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥 & 𝐟𝐚𝐦𝐢𝐥𝐲 𝐡𝐞𝐚𝐥𝐭𝐡-𝐫𝐞𝐜𝐨𝐫𝐝 𝐚𝐩𝐩 (iOS & Android) — full-stack build, rebuilt after a compliance audit: 𝐅𝐇𝐈𝐑-𝐚𝐥𝐢𝐠𝐧𝐞𝐝, 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐮𝐬𝐭𝐫𝐚𝐥𝐢𝐚-𝐚𝐩𝐩𝐫𝐨𝐯𝐞𝐝, zero production outages since launch - 𝐄𝐟𝐥𝐞𝐚 — 𝐫𝐞𝐦𝐨𝐭𝐞 𝐬𝐚𝐟𝐞𝐭𝐲 & 𝐡𝐞𝐚𝐥𝐭𝐡-𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐩𝐩 for a market-leading Canadian LTE smartwatch — iOS & Android apps, caregiver monitoring backend, real-time alerting: vitals, fall/seizure detection with GPS alerts, geofencing, SOS, multi-guardian support 𝐏𝐥𝐮𝐬 𝐦𝐚𝐧𝐲 𝐦𝐨𝐫𝐞 — Cerner/Oracle Health SMART on FHIR integrations, HIPAA-compliant teledermatology, AI clinical documentation and SOAP-note generation, multi-portal vaccine management, and intake & scheduling automation (Formsort, DrChrono, Salesforce). ***𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞, 𝐂𝐨𝐯𝐞𝐫𝐞𝐝 𝐟𝐫𝐨𝐦 𝐃𝐚𝐲 𝐎𝐧𝐞*** Consultation and full-stack implementation for industry-grade compliance: 𝐇𝐈𝐏𝐀𝐀 · 𝐏𝐈𝐏𝐄𝐃𝐀 · 𝐆𝐃𝐏𝐑 · 𝐇𝐈𝐓𝐄𝐂𝐇 · 𝐒𝐎𝐂 𝟐 · 𝐈𝐒𝐎 𝟐𝟕𝟎𝟎𝟏 · 𝐅𝐃𝐀 𝐌𝐃𝐃𝐒 · 𝐎𝐍𝐂 · 𝐇𝐋𝟕 & 𝐅𝐇𝐈𝐑 · 𝟐𝟏𝐬𝐭 𝐂𝐞𝐧𝐭𝐮𝐫𝐲 𝐂𝐮𝐫𝐞𝐬 𝐀𝐜𝐭 Experience building FDA-registered MDDS platforms and ONC-aligned EMRs, built to the highest data security and privacy standards. ***𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤*** 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, TypeScript, Vue, Angular, Material UI, Tailwind 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Node.js, Express.js, Django REST, REST, GraphQL, OAuth, JWT 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: MongoDB, PostgreSQL, MySQL, Firebase 𝐀𝐈/𝐌𝐋: OpenAI API, TensorFlow, PyTorch, NLP, Computer Vision, MLOps 𝐃𝐞𝐯𝐎𝐩𝐬: AWS, Microservices, Docker, CI/CD ***𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬*** HL7, FHIR (SMART on FHIR), CDA, DICOM, ICD — built on Medplum and OpenEMR, integrated with Cerner (Oracle Health), athenahealth, and DrChrono Let's turn your healthcare idea into a compliant, scalable product clinicians actually use. Tap 𝐈𝐧𝐯𝐢𝐭𝐞 𝐭𝐨 𝐉𝐨𝐛 to start building results, not just software.

I am building AI products, Agentic AI systems, and scalable SaaS applications from idea to production. Hi, I'm Abubakar Majid, an 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 with 3+ years of experience delivering AI-powered products, automation systems, and modern web applications for startups, founders, and businesses worldwide. I specialize in combining Generative AI, Agentic AI, LLMs, and modern full-stack technologies to create intelligent software that automates workflows, improves productivity, and scales efficiently. I work across the entire product lifecycle, including architecture, frontend development, backend APIs, AI integrations, cloud deployment, and production optimization. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 ✅ AI SaaS Platforms ✅ AI Agents and Multi-Agent Systems ✅ Custom GPT Applications ✅ AI Chatbots with Memory and RAG ✅ Workflow Automation Systems ✅ AI Content Generation Platforms ✅ Document Processing and Knowledge Systems ✅ Internal Business Tools ✅ Startup MVPs and Production SaaS Products ✅ SEO-Optimized Web Applications 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 Agentic AI Development Design and build autonomous AI agents capable of planning, reasoning, tool usage, and multi-step execution using modern agent frameworks. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: LangGraph, LangChain, CrewAI, OpenAI Agents SDK, OpenAI Responses API, MCP Servers, Multi-Agent Architectures Generative AI and LLM Applications Develop production-ready AI products powered by large language models and advanced prompting strategies. 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: RAG Systems, Structured Outputs, Function Calling, Tool Use, Memory Systems, Context Management, Document Understanding, AI Assistants AI Automation and Workflow Systems Build intelligent automations that reduce manual work and improve business operations. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: n8n, Make, Zapier, API Integrations, CRM Automation, Lead Processing, Document Automation, Email Workflows Full-Stack Development Develop fast, scalable, and maintainable web applications with modern frontend and backend technologies. 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: Next.js, React, TypeScript, Tailwind CSS, Zustand, React Query, Server Components, SSR, SEO Optimization Backend: FastAPI, Node.js, Express.js, PostgreSQL, Supabase, MongoDB, Authentication Systems, REST APIs 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Deploy AI systems and scalable applications to production environments with monitoring and optimization. Technologies: Docker, Vercel, AWS, DigitalOcean, CI/CD, Reverse Proxies, Background Jobs, Queue Systems, Logging, Monitoring 𝐒𝐨𝐦𝐞 𝐨𝐟 𝐦𝐲 𝐰𝐨𝐫𝐤 AI Writing Platform Built an AI-powered writing platform featuring AI agents, content generation pipelines, scalable APIs, and SEO-focused frontend architecture. Stack: OpenAI, LangGraph, FastAPI, Supabase, Next.js, Docker AI Detection SaaS Platform Developed a complete AI SaaS application including frontend, backend, authentication, payment integration, and deployment infrastructure. Stack: GPT Models, FastAPI, Supabase, Next.js, PostgreSQL, Vercel AI Review Analytics System Created NLP pipelines for sentiment analysis, topic clustering, review classification, and business intelligence reporting. Stack: Python, Pandas, spaCy, Machine Learning Actor Portfolio Platform Built responsive, high-performance user interfaces optimized for SEO, accessibility, and user experience. Stack: Next.js, TypeScript, Tailwind CSS 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 SaaS Startups AI Startups E-commerce Businesses Marketing Agencies Content Platforms Education Technology Productivity Software Internal Enterprise Tools Technologies AI and Machine Learning OpenAI, GPT Models, LangChain, LangGraph, CrewAI, Hugging Face, Transformers, PyTorch, TensorFlow, Scikit-learn, RAG, Vector Databases, Embeddings Databases and Search PostgreSQL, Supabase, MongoDB, Pinecone, FAISS, Vector Search Backend FastAPI, Node.js, Express.js, REST APIs, Authentication, Webhooks, Payment Integrations Frontend React, Next.js, TypeScript, Tailwind CSS, Responsive Design, SEO Optimization DevOps and Cloud Docker, AWS, DigitalOcean, Vercel, CI/CD, Linux Servers, Monitoring 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 ✔ End-to-end ownership from idea to deployment ✔ Strong AI and full-stack engineering expertise ✔ Scalable and maintainable architecture decisions ✔ Clear communication and reliable delivery ✔ Startup-friendly and business-focused approach ✔ Long-term support for growth and scaling Whether you need an AI SaaS MVP, AI agents, automation systems, LLM applications, or a complete full-stack product,𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐭𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐢𝐝𝐞𝐚 𝐢𝐧𝐭𝐨 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧. 𝐋𝐞𝐭'𝐬 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫.

𝗪𝗵𝘆 𝘀𝗰𝗮𝗹𝗲 𝗵𝗲𝗮𝗱𝗰𝗼𝘂𝗻𝘁 𝘄𝗵𝗲𝗻 𝗔𝗜 𝗰𝗮𝗻 𝘀𝗰𝗮𝗹𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀? I work with businesses to eliminate inefficiencies through AI-driven automation—cutting costs, increasing productivity, and transforming raw data into actionable insights. 𝗛𝗼𝘄 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗺𝗽𝗮𝗰𝘁 𝘄𝗶𝘁𝗵 𝗔𝗜: ➤ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Design and deploy intelligent agents that streamline complex workflows across support, compliance, finance, operations, HR, and supply chains using LangChain, LangGraph, and n8n. ➤ 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 Engineer cooperative AI environments capable of autonomous task execution and decision-making at scale. ➤ 𝗥𝗔𝗚 & 𝗦𝗺𝗮𝗿𝘁 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 Build RAG-powered systems that enhance LLMs with real-time enterprise data for more accurate, contextual insights. ➤ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗚𝗿𝗼𝘄𝘁𝗵 Develop AI tools for content generation, automated research, and conversational systems that drive engagement and revenue. ➤ 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗥𝗲𝗮𝗱𝘆 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 Seamlessly integrate OpenAI (GPT-4o, GPT-4), Claude, Gemini, Llama 3, and custom models into production workflows. ➤ 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗚𝗿𝗮𝗱𝗲 𝗔𝗜 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 Deliver scalable, secure AI platforms using Python, FastAPI, Django, Docker, and Kubernetes across AWS, Azure, and GCP. ✅ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗧𝗿𝘂𝘀𝘁 𝗠𝘆 𝗪𝗼𝗿𝗸: 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗗𝗲𝗲𝗽 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗢𝘂𝘁𝗰𝗼𝗺𝗲-𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗔𝗹𝘄𝗮𝘆𝘀 𝗔𝗵𝗲𝗮𝗱 𝗼𝗳 𝗔𝗜 𝗖𝘂𝗿𝘃𝗲 📂 𝗥𝗲𝗰𝗲𝗻𝘁 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴: AI-powered campaign planning & content generation 𝗖𝗿𝘆𝗽𝘁𝗼: AI trading co-pilot for real-time decisions 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: Retell AI and Eleven Labs with Twilio 𝗜𝗧 & 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: Autonomous troubleshooting agents 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: AI → structured EMR notes 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻: Intelligent PDF data extraction

Senior Data Engineer and AI Engineer with 15+ years in data engineering, AI engineering, and cloud data platforms. I build production data pipelines, ETL workflows, LLM and RAG systems, and machine learning infrastructure on AWS, GCP, Azure, Snowflake, Databricks, and Apache Spark. Most of my data engineering work is end to end. I take a messy data problem, or an AI feature that "almost works," and turn it into something reliable that runs in production without someone babysitting it. After 15+ years as a data engineer, you learn the hard part is rarely the model or the framework. It's the data, the edge cases, the pipelines, and keeping the system maintainable once you've handed it over. As an AI engineer I treat LLM and RAG work the same way: take a prototype that almost holds together and make it a production AI system that survives real traffic, real users, and real data. Recent data engineering and AI engineering projects: - An AI inbound phone system built on Twilio with OpenAI Whisper and GPT-4, handling real-time voice intake and call routing. - Enterprise Power BI data models for healthcare and financial reporting, around 30 tables and 40+ DAX measures, including IFRS 9 staging, RAROC, and NIM trends. - HL7 FHIR R4 integrations with Epic, Cerner, and Athenahealth for a clinical AI platform. - Cut LLM inference cost on a high-volume voice product by 25% by reworking how it used the OpenAI Realtime API and its per-turn token replay. Data engineering: Apache Spark, PySpark, dbt, Apache Airflow, ETL and ELT pipelines, data warehousing, data modeling, Snowflake, BigQuery, Redshift, Databricks, Delta Lake, Kafka, Kinesis, Fivetran. AI engineering and machine learning: OpenAI GPT-4o, Claude, Gemini, LangChain, LlamaIndex, RAG pipelines, AI agents, prompt engineering, vector search (Pinecone, Weaviate, pgvector), PyTorch, TensorFlow, scikit-learn, MLflow, model deployment. Cloud and DevOps: AWS (Glue, EMR, Lambda, Redshift, SageMaker, Athena), GCP (BigQuery, Dataflow, Vertex AI), Azure (Synapse, Data Factory, Azure ML), Terraform, Docker, Kubernetes, GitHub Actions. Automation and integration: n8n, Make, Power Automate, REST and GraphQL APIs. Governance and compliance: GDPR, HIPAA, SOC 2, RBAC, PII masking, encryption, data lineage. Languages: Python, SQL, Scala, PySpark, FastAPI, Flask. How I work: I'd rather ask the right questions up front than build the wrong thing quickly. I'll tell you when something is a bad idea, give you timelines I can keep, and leave you with code and documentation your own team can maintain. I've delivered data engineering and AI engineering projects for startups and enterprises across the US, Europe, and Asia. If you're looking to hire a data engineer or AI engineer who can own the work end to end, from raw data pipeline to production AI system, I'm available now. Tell me what you're building and I'll give you a straight answer on how I'd approach it.

If you’re struggling with broken data pipelines, slow analytics, unreliable AI models, or half-built web apps, I help you fix that end to end. I design and build data engineering pipelines, AI/ML solutions, and full stack applications that are clean, scalable, and ready for real users. From data ingestion and ETL pipelines to machine learning models, LLM integrations, and modern web apps, I handle the entire lifecycle, so you don’t need 3 different freelancers. 🚀 What I Can Do for You: - Design and build data pipelines, ETL/ELT workflows, and data warehouses - Develop and deploy machine learning models, NLP systems, computer vision solutions, and AI pipelines - Build high-performance backend systems using Django, FastAPI, Node.js, and Express - Create modern, responsive frontends with React.js, Next.js, TypeScript, and Tailwind CSS - Integrate LLMs and AI tools (OpenAI, GPT, LlamaIndex, Hugging Face) into real-world applications - Perform data analysis, feature engineering, and large-scale data processing using Pandas, NumPy, PySpark - Design RESTful APIs, microservices, and scalable database architectures 🛠️ Tech Stack & Tools - Languages: Python, JavaScript, TypeScript, SQL - Frontend: React.js, Next.js, HTML5, CSS3, Tailwind CSS, Bootstrap - Backend: Django, FastAPI, Node.js, Express.js - Databases & Warehousing: PostgreSQL, MySQL, MongoDB, SQL-based data warehouses - Data Engineering: ETL pipelines, data modeling, PySpark, analytics workflows - AI/ML & LLMs: Scikit-learn, PyTorch, Hugging Face, OpenAI, LlamaIndex, NLP - Dev & Ops: Git, GitHub, Postman, VS Code - Deployment: Vercel, Netlify, Render, Heroku, Railway 🌟 Why Clients Choose Me - Strong expertise in Data Engineering + AI/ML + Full Stack Development - Deep understanding of data pipelines, model deployment, and production systems - Clean, scalable, and maintainable production-grade code - Clear communication, fast delivery, and reliable collaboration - Focused on business impact, performance, and long-term scalability If you’re looking for a developer who can own the entire data-to-deployment lifecycle, I’d love to help. Let’s build your AI-powered, data-driven product - efficiently, professionally, and with results that matter.

AI / ML / Agentic AI LLM / Langchain / RAG ChatBots AI / Machine Learning & Computer Vision specialist with hands-on experience building, training, and deploying deep learning models for real-world applications. I specialize in YOLO-based object detection/segmentation and image processing, with a strong background in PyTorch, TensorFlow, and OpenCV, Plus modern RAG and agentic AI LLM systems using LangChain and LangGraph. Key Expertise YOLO Object Detection & Segmentation: Custom training/tuning (YOLO v8–v12), dataset prep, evaluation, and edge AI deployment on Jetson Nano. RAG & Agentic AI: Retrieval-augmented generation with LangChain/LangGraph, vector stores (Pinecone, ChromaDB), tool use, memory, and guardrails. Recommendation AI Engine Systems. Model Deployment & Optimization: Packaging for production (REST), quantization/acceleration where applicable; VM-based deployments. Full Pipeline Development: Data collection → labeling → training → testing → Flask/FastAPI REST APIs → monitoring. MLOps & CI/CD: Experiment tracking, versioning, reproducible workflows, and automated delivery with GitHub/GitLab. API Integration & Apps: Secure API integration with third-party services; Flutter front-ends that consume ML APIs. Cloud & Storage: AWS S3 for datasets/artifacts; deployable on cloud VMs or on-prem. Frameworks & Tools PyTorch, TensorFlow/TFLite, OpenCV, scikit-learn, Pandas, NumPy LangChain, LangGraph, RAG, LLM, Pinecone, ChromaDB Flask, FastAPI (REST API deployment) Databases SQL, MySQL, PostgreSQL, Supabase GitHub, GitLab (MLOps/CI-CD) Google Colab / Jupyter Notebook AWS S3, VM-based deployments React & Flutter (client apps & dashboards)

Top-Rated AI/ML Engineer with 7+ years building intelligent, scalable web applications and AI-powered automation systems. I specialize in integrating Large Language Models (LLMs), machine learning pipelines, and conversational AI into production-grade platforms across healthcare, finance, eCommerce, SaaS, and logistics. Core Expertise: - AI/ML Development: Python, TensorFlow, PyTorch, OpenAI API, LangChain, Hugging Face, scikit-learn, RAG pipelines, vector embeddings, prompt engineeringPython, - Chatbots & Conversational AI: AI agent development, NLP, intent classification, multi-turn dialogue systems, automated workflow routing - Full-Stack Development: Ruby on Rails, Node.js, FastAPI, React.js, Vue.js, Angular, REST APIs, GraphQL, microservices - Backend & Databases: PostgreSQL, MySQL, MongoDB, Neo4j, Redis, SQL, NoSQL, scalable architecture - Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD, MLflow, Airflow - Automation & Integration: n8n, Zapier, Make(Dot)com, API integrations, webhook handling, ETL pipelines Key Projects: - OmniBot – AI-powered HR automation chatbot processing 10,000+ documents with multi-agent coordination and intelligent routing - AI-Driven PC Part Compatibility Chatbot – ML-based recommendation engine using Random Forest and SVM - Employee Attrition Prediction Chatbot – Predictive modeling with EDA and feature engineering for workforce insights - AI Mechanical Advisor – RAG-based car parts chatbot with intelligent database search and expert recommendations - I deliver end-to-end AI solutions, from data preprocessing and model development to deployment and optimization, combining clean code, modular architecture, and performance-first engineering with cutting-edge AI capabilities. Top-Rated Plus | $400K+ Earned | 100% Job Success | 12,565+ Hours | 0-4 Hour Response Time

AI/ML Engineer & Full Stack Developer | Python • PyTorch • Agentic ai • React • TypeScript I build machine learning systems and full-stack web applications. AI/ML: Reinforcement learning (actor-critic, PPO, genetic algorithms), deep learning (TCN, LSTM, MLP), LLM integration and automation, model training and evaluation in PyTorch and TensorFlow. Full Stack: React, Next.js, TypeScript, Python (Django/Flask/FastAPI), PHP/Laravel, Go. 4+ years production experience at TeamGantt. What I've built: - Multi-asset algorithmic trading systems using deep RL and temporal convolutional networks - Walk-forward optimization framework for systematic strategy evaluation - Go-based trading broker with REST API and real-time streaming - Production features in React/TypeScript/PHP/Clojure serving thousands of users Background: Controls engineering + Virginia Tech AI & Machine Learning program (completing 2026). I deliver fast, communicate clearly, and write tested code.

ML | AI | LLMs | AI Agents | RAG, Computer Vision | OpenClaw | Scalable AI Infrastructure As a 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 freelancer with 𝟰+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 using LLMs, AI Agents, RAG, Computer Vision, and Automation. I’ve led end-to-end AI projects for international clients across legal, retail, media, and business automation. Whether you need an AI chatbot, autonomous agent, document intelligence solution, computer vision pipeline, or scalable AI backend, I can research, 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗯𝘂𝗶𝗹𝗱, 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 it end to end. Proven Expertise & Client Satisfaction: 🎯 𝙀𝙭𝙘𝙚𝙡𝙡𝙚𝙣𝙩　𝙬𝙤𝙧𝙠　𝙖𝙣𝙙　𝙖𝙣　𝙚𝙭𝙘𝙚𝙡𝙡𝙚𝙣𝙩　𝙘𝙤𝙣𝙩𝙧𝙖𝙘𝙩𝙤𝙧　𝙛𝙤𝙧　𝙬𝙝𝙖𝙩　𝙬𝙖𝙨　𝙖𝙘𝙝𝙞𝙚𝙫𝙚𝙙．　𝙏𝙤𝙤　𝙢𝙖𝙣𝙮　𝙜𝙤𝙤𝙙　𝙬𝙤𝙧𝙙𝙨　𝙛𝙤𝙧　𝘼𝙧𝙨𝙡𝙖𝙣！　𝘿𝙚𝙛𝙞𝙣𝙞𝙩𝙚𝙡𝙮　𝙘𝙖𝙣’𝙩　𝙬𝙖𝙞𝙩　𝙩𝙤　𝙬𝙤𝙧𝙠　𝙬𝙞𝙩𝙝　𝙝𝙞𝙢　𝙖𝙜𝙖𝙞𝙣！ 🎯 𝙂𝙧𝙚𝙖𝙩　𝙦𝙪𝙖𝙡𝙞𝙩𝙮　𝙤𝙛　𝙬𝙤𝙧𝙠　𝙖𝙣𝙙　𝙘𝙡𝙚𝙖𝙧　𝙘𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣　𝙬𝙞𝙩𝙝　𝘼𝙧𝙨𝙡𝙖𝙣．　𝘼𝙡𝙬𝙖𝙮𝙨　𝙬𝙞𝙡𝙡𝙞𝙣𝙜　𝙩𝙤　𝙜𝙤　𝙛𝙪𝙧𝙩𝙝𝙚𝙧　𝙖𝙣𝙙　𝙙𝙧𝙞𝙫𝙚　𝙗𝙮　𝙩𝙝𝙚　𝙫𝙖𝙡𝙪𝙖𝙗𝙡𝙚　𝙤𝙪𝙩𝙘𝙤𝙢𝙚𝙨． 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗟𝗟𝗠 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 🔹RAG applications with accurate source citations 🔹LangChain and LangGraph agent workflows 🔹AI chatbots, copilots, and document QA systems 🔹Private LLM deployment and automation 🔹Semantic search and vector database systems 🔹Semantic search across text, audio, images, video, and documents 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 🔹Image and Video Classification 🔹Object detection, segmentation, and tracking 🔹Face recognition and face clustering 🔹OCR and image analysis pipelines 🔹Retail shelf analysis, product detection, and gap detection 🔹AI-based quality inspection systems 🔹OpenCV, YOLO, MediaPipe, SAM, VLMs, Multi-Modal Omni Models 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 🔹Text, image, video, and audio generation 🔹Voice AI and speech systems 🔹Talking avatars and multimodal AI pipelines 🔹Image generation and transformation workflows 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 🔹FastAPI backends and scalable APIs 🔹Docker-based deployments 🔹Cloud infrastructure on Azure, GCP, DigitalOcean, VPS, and GPU servers 🔹GitHub CI/CD, monitoring, evaluation, and cost optimization 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 🔹𝗔𝗜 𝗟𝗲𝗴𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗳𝗼𝗿 𝗙𝗿𝗲𝗻𝗰𝗵 𝗟𝗮𝘄 Built a specialized AI assistant for French lawyers using LangGraph, RAG, reranking, pinpoint source citations, specialized LLMs, embeddings, LangSmith monitoring, and secure Azure deployment. 🔹𝗦𝗵𝗲𝗹𝗿 𝗔𝗜 - 𝗥𝗲𝘁𝗮𝗶𝗹 𝗔𝗜 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Developed AI systems for product and price-tag detection, shelf gap analysis, and retail automation across 10K+ products. Deployed a high-load system on GCP with autoscaling. 🔹𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗔𝗴𝗲𝗻𝘁 𝗦𝗽𝗮𝗰𝗲 - 𝗨𝗞 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 Built complex LangChain and LangGraph workflows for document QA, image generation, web search, and private LLM deployments using Qwen2.5-32B, DeepSeek, and open-source models on Paperspace GPUs. 🔹𝗔𝗜 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗳𝗼𝗿 𝗩𝗶𝗱𝗲𝗼 𝗙𝗲𝗲𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Designed and developed AI backend infrastructure for a UK-based video feed platform. 🔹𝗣𝗶𝘅𝘀𝗼𝗳𝗳𝗶𝗰𝗲 - 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼 𝗳𝗼𝗿 𝗣𝗵𝗼𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝗲𝗿𝘀 Built face recognition, face clustering, automated album creation, and image-processing pipelines with 97%+ recognition accuracy. Deployed using GitHub CI/CD and DigitalOcean. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Python, FastAPI, Docker, PyTorch, TensorFlow, OpenCV, LangChain, LangGraph, FAISS, Pinecone, Qdrant, OpenAI, Claude, LLaMA, vLLM, Qwen, DeepSeek, Azure, GCP, DigitalOcean, Paperspace, VPS, serverless infrastructure. 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 🔸Strong experience building real-world production AI systems 🔸Skilled in both AI engineering and scalable backend infrastructure 🔸Able to handle complex workflows from data to model to deployment 🔸Focused on performance, reliability, monitoring, and cost optimization 🔸Experienced in delivering systems for legal, retail, media, photography, aquaculture, and automation use cases Let’s discuss your AI, automation, or business workflow and build a reliable system that delivers real business value.