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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.

AI Developer | Automation & Predictive Analytics I build AI systems that take repetitive work off your plate and turn your data into decisions you can act on. Over 5+ years I've automated workflows that ran for hours down to minutes, shipped computer-vision models north of 97.5% accuracy in production, and built specialized models that outperform frontier LLMs on-task at a tiny fraction of the compute. AUTOMATION I design pipelines and AI-driven workflows that replace manual, error-prone processes: LLM-powered document processing, data ingestion and ETL, RAG/MCP integrations, and agentic systems that handle the busywork. I've cut enough of it for clients to gain multiples worth of efficiency gains. PREDICTIVE ANALYTICS I build forecasting, classification, and risk/scoring models that turn historical data into reliable signal - with the feature engineering, evaluation, and monitoring to keep them accurate in production, not just in a notebook. I also handle the engineering around the models - infrastructure, security, and the supporting services that keep everything running in production. When a project calls for it, I work across NLP, computer vision, and custom model training/fine-tuning. SELECTED RESULTS - Automated document processing from hours to minutes with LLMs - 97.5%+ accuracy on production computer-vision inference - Fine-tuned a compact language model to more than 5x the on-task accuracy of a frontier LLM (GPT-5.5) while using thousands of times less compute CORE SKILLS - Predictive analytics & forecasting, machine learning, deep learning, LLMs, computer vision - Workflow & data automation, MLOps, custom model training, optimization & fine-tuning - Supervised, unsupervised (K-Means, HDBSCAN), and reinforcement learning (Stable-Baselines3) STACK - Languages: Python, SQL, Bash - ML/Data: scikit-learn, PyTorch, TensorFlow, XGBoost/LightGBM/CatBoost, pandas - Build & Deploy: FastAPI/Flask, Docker, Kubernetes, Git I care about modular, efficient systems that keep working long after handoff - not one-off scripts that break the moment requirements shift. If you've got a process worth automating or data worth predicting from, let's talk about moving your project forward.

Need cutting-edge AI solutions or expert machine learning guidance? You're in the right place. With a track record of innovation used by tech giants and featured in major media outlets, I'm here to elevate your data science and machine learning projects. BACKGROUND -PhD in Computer Science from the University of Maryland -Bachelors in Physics/Pre-med with domain knowledge in finance -QinetiQ Fundamental Machine Learning Fellowship and Angelo Bardasis Fellowship recipient -15+ publications at major ML venues -2 patents -Maintainer of major open-source ML libraries with 100M+ installations (used by AWS, Google, Meta, Microsoft) -Open source libraries include taking over maintaining the Arcade Learning Environment (a benchmark that led to Google's acquisition of DeepMind) and OpenAI Gym (OpenAI's first widely publicized project many years ago) -Led ML teams in intelligence and semiconductor sectors -Contributor to almost all major open-source ML libraries -Expertise in integrating ML tools with domain-specific requirements and real-world data -Particular specialty in reinforcement learning (I've maintained many of the most widely used open source libraries in the space, and it was the focus of my PhD and 2 of my past firms) EXPERTISE -I offer end-to-end solutions, high-level planning advice, and targeted problem-solving for uniquely difficult challenges in: Machine Learning & AI -Deep Learning -Natural Language Processing (NLP) -Computer Vision (CNNs, YOLO) -Reinforcement Learning -Generative AI (GANs, Stable Diffusion) -Large Language Models (GPT, BERT) -Time Series Analysis Data Science & Analytics -Statistical Analysis -Time Series Forecasting -Predictive Modeling -Recommendation Systems Big Data & Databases -Distributed Computing -NoSQL Databases (MongoDB, Cassandra, MySQL) -Graph Databases (Neo4j) Software Engineering -Microservices Architecture -RESTful API Design -Version Control (Git) -CI/CD Pipelines Cloud & DevOps -Containerization (Docker) -Cloud Platforms (AWS, GCP, Azure) TECHNICAL STACK Programming: Python, C/C++, Java, R, MATLAB ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers Data Processing: Scipy, Pandas Visualization: Matplotlib, Seaborn, Plotly, ggplot Documentation: LaTeX, Markdown Databases: MongoDB, Cassandra, MySQL, Neo4j Given my unique blend of academic research, industry experience, and open-source contributions, I bring a high level of expertise to your data science and machine learning projects. Whether you need cutting-edge AI solutions, data-driven insights, or expert guidance on complex ML challenges, I'm equipped to deliver results that drive your business forward.

I help businesses, healthcare teams, researchers, and startups turn complex AI ideas into reliable software products. I am a research-driven AI Solutions Engineer and Python backend developer with a Master’s in Neuroscience and 6 years of experience building AI-powered applications, machine learning workflows, and research-focused software systems. My work sits at the intersection of artificial intelligence, backend engineering, data processing, and scientific problem-solving. My strongest value is not just writing code. I help define the right technical approach, design the system architecture, build the backend, integrate AI models, and deliver software that is practical, maintainable, and ready for real users. My core expertise includes: - Python backend development - Generative AI application development - Machine learning and data workflows - Scikit-learn, TensorFlow, Keras, NumPy, Pandas, SciPy - Speech-to-text systems using Whisper AI - SQL and SQLite database design - GPU-accelerated AI inference - Research automation and scientific computing - Healthcare AI and clinical workflow tools - Desktop AI applications and internal business tools One of my key projects is VoxChart, a clinical speech-to-text dictation application built with Whisper AI, Python, PyAudio, SQLite, tkinter, and PyInstaller. It supports offline AI transcription, medical terminology correction, autosave, Epic EHR export support, crash reporting, and a Windows installer pipeline. This project reflects the kind of work I do best: turning advanced AI capability into a clean, usable tool that solves a real workflow problem. I also have hands-on experience in computational neuroscience, reinforcement learning, and scientific modeling, including a spinal cord arm control model using Python, TensorFlow/Keras, OpenSim, and DDPG. This gives me a stronger analytical foundation than a typical software developer and allows me to work confidently on complex, data-heavy, research-driven, or AI-first projects. I can help you with: - Building AI-powered SaaS tools, MVPs, and internal platforms - Developing Python backends for AI applications - Creating custom ML models and data pipelines - Integrating OpenAI, Whisper, or other AI systems into your workflow - Automating manual business or research processes - Designing databases, APIs, and AI-assisted backend logic - Building healthcare, clinical, or research technology solutions Clients should work with me when they need someone who can think deeply, communicate clearly, and build carefully. I care about clean architecture, accurate implementation, strong documentation, and software that remains useful after delivery. If you need an AI solution that is more than a prototype, I can help you design it, build it, and make it dependable.

Machine-Learning Engineer applying deep neural networks to reinforcement learning, NLP computer vision, and other interesting problems! In the midst of publishing a paper on predicting the outcome of sporting events. Background in Cryptography and full-stack development experience as well. When I'm not working catch me at USCF tournaments, playing basketball or working on my research!

About Me - I'm a versatile freelancer with a proven track record of delivering quality work across multiple platforms and industries. With experience spanning real estate, customer service, and extensive freelance work, I bring a unique combination of business acumen and hands-on problem-solving skills to every project. - Professional Experience - * Freelance Professional | Self-Employed • Successfully built and managed a thriving freelance business across multiple platforms including TaskRabbit, Thumbtack, and Nextdoor • Consistently ranked as a top performer on TaskRabbit, generating substantial revenue through dedicated service • Developed strong client relationships leading to consistent word-of-mouth referrals and repeat business • Managed all aspects of business operations including scheduling, client communications, and financial management * Data Annotation & AI Training Data Specialist | 2+ Years - Extensive experience across the full spectrum of data annotation work, including image annotation, video annotation, bounding boxes, text classification, and tool-use/agentic task evaluation - Outlier (top-rated): completed high volume of projects spanning photo, video, text, and multi-modal AI training tasks - Appen: specialized in audio transcription work, ensuring accurate and detail-oriented output for training datasets - Alignerr: professional voice recording and audio data collection for AI model training - Skilled in RLHF (Reinforcement Learning from Human Feedback), data labeling for LLM fine-tuning, and quality assurance review of annotated datasets - Detail-oriented and consistent, with strong ability to follow complex, evolving labeling guidelines and rubrics - Comfortable with fast platform/tool switching. I'm experienced across multiple annotation interfaces and internal tooling - QA Lead & Founder, Inner House Data — Data Annotation Team. Currently leading a small remote annotation team, overseeing quality assurance, task calibration, and client deliverables for AI training data projects. Experience setting up annotation workflows (Label Studio), managing pricing/scoping based on task complexity, and ensuring consistent output quality across a distributed team. * Independent Security Research & Web Application Testing - Independent security researcher specializing in web application vulnerability assessment - Experienced with OWASP Top 10 (2025) vulnerability identification and documentation - Proficient with Burp Suite, ffuf, and manual penetration testing methodology - Delivered professional security disclosure reports to funded startups - Completed OWASP Top 10 certification via TryHackMe * Real Estate Professional | 2+ Years • Gained valuable experience in client relationship management and negotiation • Developed strong communication and precise organizational skills in a fast-paced environment * Additional Experience • Top Dasher at DoorDash, demonstrating reliability and excellence in service delivery • Past customer service experience at Honda dealership and Universal Studios • Proven ability to excel in diverse work environments - Why Choose Me - ✓ Fast Learner: I quickly adapt to new skills and technologies - from picking up new languages (currently I'm studying Indonesian daily) to picking up guitar, coding, and networking fundamentals ✓ Self-Motivated: I handle my own scheduling and project management ✓ Flexible Availability: Available most days of the week to accommodate your project needs ✓ Proven Track Record: Success across multiple freelance platforms with satisfied clients. (Upwork is the next one on the list!) ✓ Business-Minded: Real estate and entrepreneurial background brings strategic thinking to projects ✓ Reliable: Consistent top performance ratings across all platforms I've worked on - Let's Connect - I'm always expanding my skill set, whether it be diving into coding, mastering networking concepts, or picking up instruments, most recently, guitar. I'm always excited to take on new challenges and help bring your projects to life. Helping you, in turn, helps me learn more skills! Feel free to reach out to discuss how I can contribute to your success.