Hire the Best Artificial Intelligence Engineers in California

I help organizations design, build, and scale production-grade AI systems that drive measurable business outcomes. With 15+ years of experience in software engineering, machine learning, and technical leadership, I have successfully delivered AI platforms, machine learning infrastructure, distributed systems, and cloud-native applications for startups, high-growth companies, and enterprise organizations. My background includes leadership and engineering roles at Quantcast, Oracle, Scotiabank, Moody's, and FreightSmart. I specialize in bridging the gap between business goals and technical execution, helping companies move from AI concepts and prototypes to scalable production systems. ================================================== AREAS OF EXPERTISE [ Generative AI & LLM Applications ] - Retrieval-Augmented Generation (RAG) - AI Assistants and Copilots - Agentic AI and Multi-Agent Systems - OpenAI, Anthropic, AWS Bedrock - LangChain and CrewAI - Prompt Engineering - Fine-Tuning and LoRA - Embeddings and Semantic Search - Knowledge Base Chatbots - Enterprise AI Solutions [ Machine Learning & Predictive Analytics ] - Forecasting Models - Recommendation Systems - NLP and Text Analytics - Classification and Regression Models - Customer Behavior Modeling - XGBoost - Scikit-Learn - PyTorch - Feature Engineering - Model Optimization [ AI Infrastructure & MLOps ] - Machine Learning Platforms - Model Training Pipelines - Model Serving Infrastructure - Kubernetes - Docker - Terraform - CI/CD Automation - Monitoring and Observability - Performance Optimization - Cloud-Native Architecture [ Backend & Data Engineering ] - Python - FastAPI - Java - Spring Boot - Apache Spark - Apache Airflow - Snowflake - PostgreSQL - DynamoDB - MySQL - Pinecone - pgVector - REST APIs - GraphQL - Microservices ================================================== SELECTED ACHIEVEMENTS • Built an enterprise Retrieval-Augmented Generation (RAG) platform using OpenAI Embeddings and pgVector, enabling natural language search across more than 100,000 operational records. • Developed AI-powered logistics agents that automate load creation, optimize driver assignments, and generate real-time operational insights. • Improved machine learning forecasting accuracy from 55% to 85% for a large-scale advertising platform, resulting in increased customer engagement and stronger business performance. • Led the migration of large-scale machine learning infrastructure from Hadoop/MapReduce to Spark and Airflow, significantly improving scalability, reliability, and development velocity. • Designed and delivered enterprise AI SDKs and NLP solutions adopted across multiple business units and products. • Built and managed cloud-native machine learning platforms supporting training, deployment, monitoring, and serving of production models. • Led and mentored teams of machine learning engineers and software engineers while driving technical strategy, architecture, and execution. ================================================== WHY CLIENTS WORK WITH ME Strong combination of hands-on engineering and technical leadership Deep expertise in Generative AI, Machine Learning, and Cloud Architecture Proven experience building production-ready AI systems at scale Ability to translate business objectives into practical technical solutions Focus on scalability, maintainability, security, and cost efficiency Clear communication, ownership, and reliable delivery ================================================== Whether you need a Generative AI application, RAG platform, intelligent agent system, machine learning solution, AI infrastructure, or a complete end-to-end product, I can help architect, build, and scale the solution from concept to production. Let's discuss how AI can create real business value for your organization.

I build AI systems that make it to production: machine learning and NLP pipelines, LLM and RAG applications, AI agents, and voice AI used by real customers every day. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐨𝐫𝐤 - Voice AI agent platform at a healthcare technology company - Clinical document extraction system on vLLM hitting 99.99%+ accuracy on messy, unstructured files - Internal agentic coding assistant that cut time spent on repetitive engineering workflows by 80% - LiveQ, an AI desktop assistant I founded (Electron and Next.js on LiveKit): designed the full agent architecture and ran 50+ customer interviews in the first month 𝐌𝐋 𝐚𝐧𝐝 𝐍𝐋𝐏 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 My experience goes deeper than the LLM wave. At Penn State's NLP lab I built a conversational agent deployed to Alexa devices reaching a 50M+ user base, and worked hands-on with transformer models (BERT, T5, XLNet), NER pipelines, OCR, and topic modeling. That history means I know when your problem needs a fine-tuned classifier instead of a frontier model, and when it doesn't need ML at all. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐖𝐢𝐭𝐡 - LLM applications and RAG pipelines with strict accuracy targets - AI agents and tool integrations (function calling, MCP) - Voice AI and real-time interaction systems - NLP and document AI: extraction, classification, intelligent OCR - End-to-end automation, from backend services to a polished UI 𝐒𝐭𝐚𝐜𝐤 𝐚𝐧𝐝 𝐂𝐫𝐞𝐝𝐞𝐧𝐭𝐢𝐚𝐥𝐬 Python, TypeScript, LangChain, LiveKit, Ray Serve, vLLM, Next.js, AWS and GCP. MS in Computer Science (AI) from USC. 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 I move fast, take ownership, and communicate clearly. Send me a message with what you're building, and I'll tell you honestly whether I'm the right fit and how I'd approach it. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, NLP, Natural Language Processing, Generative AI, LLM, Large Language Models, ChatGPT, OpenAI, Claude, Llama, RAG, Retrieval Augmented Generation, Vector Database, Embeddings, AI Agent, Agentic AI, Multi-Agent Systems, MCP, Model Context Protocol, Function Calling, Voice AI, Conversational AI, Chatbot, Speech-to-Text, Text-to-Speech, LiveKit, vLLM, LangChain, Ray Serve, Prompt Engineering, LLM Deployment, Document AI, Intelligent Document Processing, Data Extraction, OCR, Named Entity Recognition, BERT, Transformers, AI Automation, Workflow Automation, Python, TypeScript, Next.js, React, Electron, AWS, GCP, Healthcare AI, Full-Stack Development, Real-Time Systems

Senior ML Engineer. Specializing in; Computer Vision | Medical Image Analysis | LLMs | NLP | Generative AI | Chatbot Development | Data Extraction, NER. Humayun Irshad is a Machine Learning and Computer Vision Leader, specialized in deep learning and active learning with domain expertise and a proven track record of designing, delivering and supporting innovative AI applications across multiple domains serving customers around the world. He is experienced in delivering Computer Vision and Data Science products and APIs for use cases including image recognition and classification, object detection and segmentation in 2D and 3D images/videos - application ranging from climate, satellite, medical, facial identity, self-driving vehicles, retail and fashion. With over a decade of experience in Machine Learning and Computer Vision practices, applying and training deep learning algorithms (CNN, RCNN, LSTM, Transformers), image processing methods, feature extraction techniques, pattern recognition, feature selection/regularization, boosting methodologies, generalized regression models, data visualization, analytic approximation, enumerative and graphical combinatorics, advanced implementations of operator algebras, probability theory, and statistics. Awards 🥇 Susan G. Komen Postdoctoral Fellowship 2017 🥇 Winner of ISBI Challenge on Breast Cancer Detection (Camelyon 2016) 🥇 Runner Up of ICPR MITOS Contest 2012 🥇 Winner of World Summit Youth 2009 🥇 Superwisdom Certified Core Skills & Expertise ✅ Computer Vision Applications ✅ Regulatory-Approved Medical AI ✅ LLM & Generative AI Proficiency ✅ Prompt Engineering & Model Fine-Tuning ✅ Production-Grade AI Deployment ✅ Speech Recognition & Audio Processing ✅ Generative AI Across Modalities ✅ RAG Chatbots & Intelligent Retrieval ✅ Cloud Platforms & MLOps Workflows Project Experience Highlights: Robotics Process Automation for Software Development (RPAD): - Developed and led the creation of a robust AI/ML infrastructure that drives the logic behind Record/Replay and Accessibility testing. - This infrastructure involves capturing AI bot interactions with various devices, storing and processing this data for AI models, and integrating a Data Labeling system. - It includes a dedicated model training environment using SageMaker and a real-time model serving system. Contributed to product development in the field of Robotics Process Automation for Software Development (RPAD). AI-Based Breast Cancer Diagnosis System: - Spearheaded the conceptualization and development of an AI-based Breast Cancer diagnosis system. - Managed a cross-functional team of 10 ML/CV engineers across two locations in the USA and China to bring this clinical diagnosis system to life. CAD System for Breast Screening: - Designed a CAD (Computer-Aided Detection) System for Breast screening. - This system includes the processing of Mammography, Tomosynthesis, and MRI images, encompassing tasks such as image enhancement, standardization, lump/tumor/mass detection, segmentation, classification, breast tissue characterization, and the computation of BIRAD Scores. - Notably, this system is patented and has FDA applications. Wildfire Situational Awareness Intelligence Platform: - Conceived and architected a next-generation wildfire situational awareness intelligence platform. - This platform aids fire authorities, utilities, and community organizations in proactively responding to wildfires before they become destructive. - Developed a Deep Learning-based early fire detection system by amalgamating data from various sources, including proprietary mountaintop cameras and geostationary satellites. - Orchestrated the deployment of data ingestion pipelines to facilitate continuous monitoring via images from cameras and satellites. AI-Based Workflow Enhancement for Volume Photography: - Currently engaged in the development and implementation of AI-based products aimed at optimizing workflows in volume photography. - These enhancements span various functions, including image culling, spill correction, color correction, cropping and straightening, teeth whitening, and braces removal. - Additionally, advanced algorithms have been crafted for knockout, retouching, and photo selection, particularly for yearbook production. PhD in Computational Pathology MS in Machine Learning I specialize in developing impactful AI solutions with a focus on advanced Computer Vision, LLMs, generative technologies, and FDA-cleared applications. I welcome opportunities to collaborate on building the next generation of AI innovations.

I build AI agents that become business assets, work 24/7 and make your life easier. Most AI agents fail because builders use cookie cutter agents with some patchwork. I do things differently. You get a production-grade system that actually solves your business problem (not just a demo) which scales with your company growing. What I deliver: AI agents and systems that transform how you operate, or become the foundation of your next offering. Custom-built, deployed, ready for real users. How I work: Phase 1: Understand the problem, map the opportunity Phase 2: Build working proof, validate before scaling Phase 3: Production system, deployed, tested, usable Phase 4: Iterate, refine based on real usage, grow together This isn't a one-off engagement. Clients often start with a first build and continue through v2, v3, and beyond. Some partnerships run 2-3 years. Who this is for: Business owners and founders investing in AI transformation. You have vision, budget, and want a partner, not a vendor. Who this isn't for: Quick fixes, legacy cleanup, or bolting AI onto broken workflows. If you want fast and cheap, I'm not your guy. Background: MS in Computer Science. 10+ years applied AI. Published researcher. Clients repeatedly say: "Clarity came through building with you." Recent examples: • AI design platform: from idea to paying users, still evolving 2+ years later • RFQ automation system: replaced 10 browser tabs with one platform (has 8 agents), ongoing partnership Technical depth: Python, FastAPI, LangChain, OpenAI, RAG architectures, cloud deployment (GCP/AWS), fine-tuning, vector DBs, Claude Code. ✔ Consulting: 30-minute paid calls available for scoping, second opinions, or "should we build this?" conversations. DM me if you're building something.

🏆 TOP RATED | AI Solutions Architect | Microsoft & Enterprise Software Expert Hi, I'm Adam, Principal Architect at Code Upscale. 🚀 We help startups, SMBs, and enterprise organizations build AI-powered products, SaaS platforms, enterprise applications, workflow automation systems, and custom software that drive measurable business results. Our team includes AI engineers, solution architects, cloud specialists, Microsoft consultants, Salesforce experts, UI/UX designers, QA engineers, and full-stack developers working together to deliver complete solutions from idea to production. 💡 In today's market, AI alone is not enough. The real challenge is integrating AI into business workflows, operations, and decision-making. We focus on building practical, scalable solutions that improve efficiency, automate processes, and create competitive advantages. 🔥 Core Expertise ✅ AI Agents & Multi-Agent Systems ✅ Generative AI (OpenAI, Claude, Gemini) ✅ AI Automation & Workflow Orchestration ✅ SaaS Platform Development ✅ Enterprise Software Development ✅ CRM & ERP Systems ✅ Mobile Applications (iOS & Android) ✅ Web Applications & Customer Portals ✅ API Development & Third-Party Integrations ✅ Cloud Architecture & DevOps ☁️ Microsoft Expertise ⭐ Microsoft Power Apps ⭐ Microsoft Power Automate ⭐ Microsoft Power BI ⭐ Microsoft SharePoint ⭐ Microsoft Dynamics 365 ⭐ Microsoft Copilot Studio ⭐ Microsoft Fabric ⭐ Azure OpenAI Services ⭐ Azure AI Services ⭐ Azure Data Factory ⭐ Azure Functions ⭐ Azure Kubernetes Services (AKS) ⚙️ Modern Technology Stack Frontend: React, Next.js, Angular, Vue.js, TypeScript Backend: Node.js, NestJS, Python, FastAPI, .NET, Laravel Mobile: Flutter, React Native, iOS, Android AI: OpenAI, Claude, Gemini, LangChain, LlamaIndex, RAG, Vector Databases, MCP, AI Agents Cloud: Microsoft Azure, AWS, Google Cloud Databases: PostgreSQL, MongoDB, SQL Server, Supabase 🌟 Selected Success Stories 🔹 Built AI-powered healthcare platforms for clinicians and healthcare organizations. 🔹 Developed enterprise fleet management and automotive rental platforms handling millions of transactions. 🔹 Built logistics and transportation marketplaces connecting thousands of users nationwide. 🔹 Delivered Microsoft Power Platform, SharePoint, Dynamics 365, and Power BI solutions for enterprise clients. 🔹 Developed AI-driven content generation, document intelligence, and knowledge management systems. 🔹 Built cybersecurity intelligence platforms leveraging AI, threat intelligence, and predictive analytics. 🔹 Designed aviation operations, maintenance, compliance, and flight intelligence platforms. 🔹 Developed fintech, investment, real-estate, and trading platforms with advanced analytics. 🤝 Why Clients Work With Us ✔️ Top Rated Upwork Partner ✔️ Architecture-First Approach ✔️ Enterprise-Grade Development Standards ✔️ Dedicated Project Management & QA ✔️ Transparent Communication ✔️ Weekly Progress Updates & Demos ✔️ Long-Term Scalability Focus ✔️ US Leadership + Global Engineering Team Whether you're launching an MVP, modernizing an enterprise platform, implementing Microsoft technologies, building an AI-powered solution, or scaling an existing product, we can help turn your vision into a production-ready system.

"I spent 15 years managing P&Ls before I started engineering the AI that drives them." Most AI projects fail because the engineer doesn't understand the business, and the executive doesn't understand the tech. I am the exception. I am a Deep Learning specialized AI Engineer who speaks the language of the C-Suite. The Evolution: From Finance to Deep Tech My journey didn't start with code; it started with capital. I learned resilience and adaptability at a Big 4 bank during the 2008 financial crisis and scaled private equity backed operations of consumer goods companies. I learned how businesses breathe, how they bleed, and how they scale. But I realized that strategy without implementation is just a wish list. I spent 4 years at Gap Inc. (Office of the CTO) as a "Full-Stack Operator," leading strategic initiatives that impacted over 2,500 resources. This was my catalyst. I stopped just managing technology and started engineering it. The Specialization: Deep Learning & Business Intelligence Today, as the Founder of Zeppelin Foundry, I don't just "consult." I build. I specialize in Deep Learning and AI Automation—not as a hobby, but as a surgical tool for business transformation. I look at a company like an engineer looks at a machine. I find the friction, and I build the AI solution to eliminate it. Proven Impact (The "Business Engineer" at Work): - Deep Learning Implementation: For a multi-million dollar building materials firm, I deployed a custom AI validation solution that cleaned 30 years of legacy data in just 4 days. That is a 93% reduction in time compared to the projected 8-week manual timeline. - Autonomous Lead Generation: I engineered a fully autonomous AI outbound solution for a SaaS firm, driving a 30%+ net increase in sales leads month-over-month. - Global Scale: At Gap Inc., I executed a 3-year strategic plan for 2.5K+ resources, resulting in 9-figure labor cost savings by aligning technology roadmaps with corporate priorities. - Revenue Growth: Overhauled an e-commerce tech stack to drive an 11x increase in direct-to-consumer sales for an international apparel brand. Why Hire Me? You aren't just hiring an AI Engineer; you are hiring a T-Shaped Operator that bridges the gap between operational challenges and technology. 1. I understand your "Why": I’ve owned $15M+ P&Ls. I know why ROI matters. 2. I build the "How": Whether it’s Deep Learning models, custom LLM integrations, or autonomous agent workflows, I build for durability and scale. 3. I bridge the gap: I can explain a neural network to your board of directors and a strategic roadmap to your engineering team. My Life Philosophy: I am a lifelong learner—from an MBA to being an early adopter of the latest AI tools like Claude Code. I believe we are currently in the greatest shift in business history. You can either be disrupted, or you can be the disruptor. Let’s build the latter.