Hire the Best Algorithms Engineers in California

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.

Hi, I am an AI and Full-Stack Engineer with over ten years of experience designing and building intelligent, scalable, and production-ready software systems. I help startups and growing businesses turn complex problems into simple, smart, and automated solutions. My goal is always to save time, improve decision-making, and create applications that scale effortlessly. I specialize in Python with frameworks like Django, FastAPI, and Flask for backend development. I write clean, maintainable code with a focus on performance, reliability, and scalability. I also work with React and Next.js to deliver smooth and responsive user interfaces. Alongside full-stack development, I specialize in natural language processing and Generative AI. I build applications using large language models, LangChain, and LlamaIndex. I develop retrieval-augmented generation systems, conversational AI, semantic search, knowledge base automation tools, and other AI-powered solutions that turn data into insight and workflows into intelligent automation. I have hands-on experience with transformer models such as GPT, LLaMA, Mistral, Claude, Gemini, and Qwen. I integrate them using fine-tuning, prompt engineering, embeddings, and custom API pipelines. I work with vector databases like Pinecone, Weaviate, FAISS, and ChromaDB to enable context-aware intelligence and fast data retrieval. I have delivered end-to-end solutions including AI-powered SaaS platforms, custom dashboards, automation systems, and text-to-SQL tools. I focus on strong backend architecture, intelligent AI logic, and seamless user experiences. I also have experience deploying applications on cloud platforms such as AWS, GCP, and Azure using Docker and CI/CD pipelines to ensure reliability and scalability. 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Python • Django • FastAPI • Flask • React • Next.js NLP • LLMs • RAG Systems • Semantic Search • Summarization • NER • Sentiment Analysis Generative AI • GPT • Claude • LLaMA • Gemini • Qwen • Hugging Face • Transformers Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB Prompt Engineering • Embeddings • Document AI • Data Processing & Automation Cloud Deployment & SaaS Solutions (AWS, GCP, Azure) 💬I treat every project like it’s my own, with care, precision, and a focus on real results. I will bring experience, skill, and care to your project. I will work with you to create solutions that are intelligent, reliable, and built to last. Let us build something remarkable together.

Over the past 10 years, I've helped startups, enterprises, and growing businesses build production-grade AI systems, earning Top 1% on Upwork. I hold an MS in Computer Science from Stanford University, specializing in Artificial Intelligence, with research in Information Retrieval, NLP, and Machine Learning. ✅ 200+ AI projects completed ✅ Top 1% on Upwork ✅ $700k+ earned as a Freelancer ✅ $1M+ earned through our Upwork Agency I specialize in Generative AI, AI Agents, AI Automation, Workflow Automation, LLMs, RAG, Machine Learning, NLP, Computer Vision, Data Science, Business Intelligence, Voice AI, Multi-Agent Systems, and Enterprise AI. Core Expertise • Generative AI & LLMs: OpenAI GPT-4o/o1/o3, Claude, Gemini, Llama, Mistral, Qwen, Grok, HuggingFace, Together AI, Ollama, Groq • AI Agents: LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, DSPy, LlamaIndex, Semantic Kernel, MCP, MemGPT • AI Automation: n8n, Make, Zapier, Pipedream, APIs, Webhooks, Celery, Redis, Temporal, Human-in-the-loop workflows • Enterprise RAG: Pinecone, Qdrant, Weaviate, ChromaDB, FAISS, pgvector, Neo4j, OpenSearch, Elasticsearch • Voice AI: Whisper, Deepgram, ElevenLabs, Retell AI, Bland AI, Twilio, LiveKit, Pipecat, Tavus, HeyGen • Computer Vision: OpenCV, YOLO, OCR, Stable Diffusion, Flux, ComfyUI, multimodal AI • Machine Learning: PyTorch, TensorFlow, Scikit-learn, XGBoost, forecasting, anomaly detection, recommendation systems • Full-Stack AI: Python, FastAPI, Django, Flask, Node.js, TypeScript, React, Next.js, PostgreSQL, GraphQL • Cloud & MLOps: AWS, Azure, GCP, Docker, Kubernetes, MLflow, BentoML, CI/CD • Integrations: Salesforce, HubSpot, Slack, Google Workspace, Microsoft Graph, Stripe, Twilio, Notion, Airtable, OAuth & REST APIs Selected Projects • Enterprise Legal AI Platform with contract intelligence, semantic search & RAG • Multi-Agent AI Automation Platform integrating CRM, email, documents, APIs & business workflows • AI Trading & Forecasting Platform using ML and time-series models • Insurance Intelligence Platform for litigation analytics • Enterprise Sustainability Analytics Platform • Public Health Monitoring System improving operational efficiency and real-time reporting Why Clients Hire Me ✔ Production-ready AI architectures ✔ Business-first automation strategy ✔ End-to-end delivery from architecture to deployment ✔ Clear communication and long-term partnership If you're building AI Agents, AI Employees, Multi-Agent Systems, Enterprise RAG, Voice AI, Internal Copilots, Workflow Automation, or production LLM applications, I'd be happy to help bring your product to production.

PhD Candidate in Computer Science: Specializing in Machine Learning, Recommender Systems, and Personalization. - Education: Master’s degree in Computer Science from DePaul University. - Technical Proficiency: Expert in Python; skilled in TensorFlow, PyTorch, and SQL. Proficient with AWS and Linux environments. - Research Excellence: Authored influential papers on topics such as enhancing diversity in recommender systems, multi-aspect fairness, and the dynamics of user preferences. - Key Projects: -- Twitter Misinformation Classification: Developed an NLP classifier to detect misinformation in tweets with 98% accuracy. -- Automatic Cross-topic News Fact Checker: Built an NLP system that outperforms state-of-the-art models in detecting false claims. -- eBayML Challenge (2020): Secured 2nd place with a novel weakly supervised method for product identification. -- Personalized Learning Recommendation: Implemented a system for recommending extracurricular activities to high school students. - Freelance Commitment: Eager to apply and expand my skills in AI, offering tailored solutions and strategic insights to enhance your projects and business impact. I am a soon-to-be PhD graduate in Computer Science, specializing in Machine Learning, Recommendation Systems, and Personalization. With a master's degree in Computer Science from DePaul University, I am well-versed in the latest industry trends and technologies. Over the years, I have contributed to dozens of research papers in my field, showcasing my deep understanding and passion for AI-driven solutions. As a Python expert and data engineering enthusiast, I have hands-on experience in implementing a wide range of machine learning methods and techniques. My proficiency in data-driven algorithms and tools makes me the ideal candidate to tackle complex projects in any industry. As a freelancer, I am eager to bring my expertise and research-driven approach to your organization, delivering tailored solutions that cater to your specific needs. I'm committed to working with you to identify opportunities for improvement and growth, leveraging my knowledge and skills to create a significant impact on your business. Looking forward to collaborating with you and making a difference through innovation and cutting-edge technology!

I have worked in machine learning, computer vision, audio processing, defense (signals intelligence), medical imaging (stereotactic radiosurgery, ultrasound), life sciences (biotech/pharma), medical robotics, and wireless communications. Involved in writing a significant amount of software, ranging from the desktop/workstation/cloud arena (Wintel, Linux, Mac OS X) to deeply embedded systems (TI DSPs, MCUs, ARM) and in between! My 1st book, "Embedded Image Processing on the TMS320C6000 DSP (Examples in Code Composer Studio and MATLAB)," was published way back in April, 2005. I am a co-inventor or inventor on 15+ issued patents. I have published numerous articles in various trade magazines, and consulted for numerous companies both big (Meta, Google, TI, AMD, Sony) and small (many startups & medium sized firms).

I am an applied PhD (Berkeley EECS) scientist with 10+ year industry experience in solving robotics, signal processing, and embedded system problems. I have over 20 years experience working with electronics and embedded systems. I have built entire robotics systems from the ground up (e.g. a car-carrying AGV) as well as led software component development as part of a larger effort (e.g. developed next-gen Fitbit heart rate algorithm). Achieving a certain product or customer outcome requires a high-level systematic viewpoint- I can help break-down this outcome into achievable and straight-forward sub-goals. From there, whether the solution calls for a data-crunching python script or bare-metal C coding, I can bring whatever tools are needed and use them with mastery. We are now bringing world-class talent together to push technological progress at Think Circuits LLC, where I am CEO. Here are some problems I can solve for you: * New algorithm development- Set requirements, design, implement and validate. * Improving legacy algorithms - Determine weaknesses of an existing algorithm, determine high-value improvements, implement and regression testing to track gains. * Embedded circuits design - Design and fabricate special purpose electronics such as sensor data loggers or controllers. * Research- Pursue a research direction such as applying a research paper to a given problem, report on feasibility What skills are in my "wheelhouse" of tools? * Robotic localization and mapping (SLAM) : Graph-based and filter-based * Classic Estimation and control: Kalman filtering, full-state controllers/estimators, PID control * Signal processing : Frequency and time domain analysis, PCA, adaptive filtering and regression * Classic machine learning : SVM, Random forest, polynomial regression * Regression testing scripts and statistical analysis of performance * Fluent in C,C++, Python * Experience with Javascript, Typescript, Linux * Embedded circuit design What will working with me be like? For development or research work, I will first try to understand the problem you are trying to solve and determine whether it is within my area of expertise. If I am able to help, I will propose some directions or options. If possible, we can identify the interfaces which separate my work from the rest of the project and come up with requirements definitions on those interfaces. Then, I can be fairly self-sufficient to implement the outcome. Other times, the desired outcome is less clear and so a more "agile" approach can be taken with greater back-and-forth between us.