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AI Developer with 4+ years of building learning systems, automating workflows, and solving intricate problems with precision-engineered solutions. I deliver robust, high-accuracy systems across a variety of applications (including finance, automation, natural language processing, and computer vision). AI Skills: - Machine Learning, Deep Learning, Large Language Models (LLMs), Computer Vision, Predictive Analytics - Custom model training, optimization, evaluation, and fine-tuning Frameworks: - scikit-learn, PyTorch, TensorFlow Languages: - Python, Java, C++, Bash Tools: - Git, SQL, FastAPI/Flask, Docker, Kubernetes, MLOps I am passionate about modular solutions, efficient operation, and leveraging the true power of AI to solve the toughest problems. Let's connect and see how I can help your project move forward!

I build AI systems that turn data into decisions fast. Whether you’re trying to match the right candidate to the right job, detect products in real time, or launch a custom GPT-style assistant, I’ll help you go from concept to deployment with clean, reliable, production-ready AI. As a seasoned AI/ML engineer and consultant, I specialize in delivering full-stack machine learning solutions across NLP, LLMs, computer vision, time series forecasting, and anomaly detection - all optimized for real-world speed, scale, and security. I work with startups, founders, and enterprise teams to integrate AI deeply into their workflows, transforming raw data into value, and automation into advantage. 🔹 Core Capabilities • Vertex AI & MLOps Excellence Scalable training, tuning, deployment, and monitoring pipelines using Vertex AI, AutoML, and GCP-native tooling. Seamless integration with BigQuery, Cloud Functions, and artifact management via MLflow or Vertex AI Experiments. • Natural Language Processing (NLP) Building and fine-tuning powerful NLP systems: resume classifiers, document summarizers, sentiment engines, NER extractors, and custom GPT-like assistants using Transformers, Hugging Face, LangChain, and LLM fine-tuning frameworks (LoRA, QLoRA). • Computer Vision Developing high-performance visual systems for image classification, object detection (YOLOv5/v8), segmentation, and OCR using TensorFlow, PyTorch, and pre-trained vision transformers (e.g., SAM, CLIP). • Time Series Forecasting & Anomaly Detection Designing intelligent systems to predict, flag, and act on time-dependent patterns in finance, retail, supply chain, and operations using Prophet, ARIMA, LSTM, CNN-LSTM hybrids, and change-point detection algorithms. • Prompt Engineering & Generative AI Crafting strategic prompts and pipelines for GPT-4o, LLaMA 3, Claude, and open-source LLMs. Experienced in structured chaining, memory management, and tool-calling using LangChain, LangGraph, and LangServe. • Framework Mastery Fluent in TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenCV, FastAPI, Streamlit, and Docker. Whether building from scratch or scaling pre-trained models, I’m equipped to handle any task cleanly, efficiently, and with purpose. 🔹 Beyond the Code – Strategic Execution • I turn business goals into deployable AI systems, translating product vision, user needs, and messy data into models that work in the real world. • I collaborate across teams - bridging gaps between technical and non-technical stakeholders to ensure clarity from planning to post-deployment. • I prioritize performance, reliability, and scale, building systems that aren’t just accurate, but fast, maintainable, and cost-efficient. • I move with intent - scoping projects clearly, setting expectations early, communicating consistently, and delivering on time. • I think like a partner, not a contractor - solving the problem behind the problem, and always looking for the simplest, smartest path to ROI. If you’re looking for a high-caliber AI partner - someone who writes clean code and thinks like a product strategist, let’s connect. I’ll help you bring your AI vision to life, from concept to deployment.

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.

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!

I build systems that think, trade, and act autonomously. MS in Mechanical Engineering. 12+ years of C++, Python, and MATLAB. 15+ years in product development spanning simulation, machine vision, industrial control, and computational finance. I don’t just write code — I architect end-to-end intelligent systems. My work spans quantitative trading platforms with live market execution, agentic AI pipelines that operate without human intervention, computer vision systems for real-world perception, and robotics automation that bridges the physical and digital. What I Bring to Your Project: • Quant & Fintech: Proprietary automated trading platform built from scratch — signal generation, backtesting, live execution via broker APIs, self-improving AI decision loops • Agentic AI: Multi-agent systems using Claude, LLMs, and custom scaffolding; autonomous workflows that plan, execute, and adapt • Machine Vision & Robotics: Real-time perception pipelines, control systems, hardware integration • ML & Optimization: Predictive modeling, simulation, constrained optimization, applied to both financial and engineering domains If you need someone who can take a complex problem from whiteboard to production — with no hand-holding required — let’s talk.

Experienced software engineer with 9 years of industry experience in modern, efficient, maintainable development. Deep experience and knowledge of the process of building and deploying of cutting-edge AI in a production environment. Highly focused on clean, fast, and maintainable code.