Hire the Best Embedded Systems Engineers in Massachusetts

Consultant in the data sciences practice with a background in computational neuroscience and biomedical engineering. Specialized in developing scalable machine-learning-based solutions to drive innovative concepts at the intersection of Computer Sciences, Artificial Intelligence, and Visual Sciences.

I build AI-adjacent systems and automation for problems that don’t have clean documentation or off-the-shelf answers. If your project lives somewhere between software engineering, data, and “why is this harder than it should be,” I’m probably a good fit. I’m a systems-minded engineer with a background spanning simulation modeling, web applications, integrations, and applied machine learning. I focus on building working, testable tools, not demos that fall apart when real data shows up. Recent / relevant experience: • Built production systems using Python, Ruby on Rails, React, Docker, and Postgres • Developed OpenAI-integrated tools for language translation and text processing • Ran applied computer vision experiments using CNNs for image feature extraction • Designed custom data pipelines and integrations across messy, undocumented APIs (including Shopify) • Meritorious Winner, COMAP ICM — stochastic simulation of kidney donor networks I’m especially strong at taking loosely defined ideas and turning them into clear, reliable systems with visible progress early in the project. 🔍 Current focus I’m pivoting deeper into machine learning and AI-adjacent work. I’m not an ML PhD, but I bring a solid math background, strong engineering instincts, and hands-on experience building real tools involving language processing, memory, and automation. I’m most effective when AI is part of a larger system — not the entire product. Core stack: Python, JavaScript, SQL Frameworks / tools: OpenAI APIs, React, Rails, Docker, Postgres Additional experience: C/C++, Java, PHP, Matlab, R, embedded systems, legacy platforms I work best with clients who value clear scope, early deliverables, and honest communication. Bonus points if your project description includes the phrase “we thought this would be simpler.”

PCB Design (DC/DC power supplies, LED Drivers, Microcontrollers, PFC circuits, Laser Drivers, Motor Drivers, Line voltage systems) Well versed in Altium Designer and KiCAD Experience debugging PCBs and electrical systems including finding and making changes to bring products into compliance with EMC certification standards Python data collection/analysis experience (e.g. designed and wrote a python script to collect, analyze, and visualize position sensor data in a laser pointing system that led to the discovery of EMI induced jitter) Solidwork/Onshape mechanical CAD experience, wire routing, wire harness design

I’m an AI & Machine Learning engineer with a master’s degree in Electrical & Computer Engineering and hands-on experience turning data into real products. Over the last few years I’ve built end-to-end ML pipelines for a medical-device startup (time-series analysis, calibration, model evaluation) and worked on generative-AI projects such as RAG-based document assistants and LLM-powered search. My core stack includes Python, PyTorch, scikit-learn, pandas, SQL, FastAPI, LangChain, pgvector/PostgreSQL and AWS. I’m comfortable owning the whole lifecycle: data cleaning and feature engineering, model training and validation, deployment to APIs, and building metrics dashboards to track business impact. I’m confident working independently or as part of a team, and I care a lot about clear communication, clean code, and reproducible experiments. If you need help with AI/ML models, data workflows, or LLM integration for your product, I’d be happy to collaborate.

I have 10+ years of experience building end-to-end dashboards, marketing analytics platforms, and data warehouses for organizations ranging from startups to publicly traded enterprises like Wayfair, as well as government organizations such as the Commonwealth of Massachusetts. I have held senior roles such as Head of Data and Enterprise Data Architect, and my background in software engineering allows me to build analytics systems that go far beyond basic dashboards, with clean data pipelines, reliable attribution, and automated reporting. I can help you consolidate data from multiple platforms (ad networks, analytics tools, e-commerce systems, CRMs) into a single, reliable source of truth. Whether you need cross-channel attribution, blended ROAS and CAC calculations, white-labeled client reporting, or a scalable data warehouse foundation, I can build and maintain the infrastructure that makes clean reporting automatic instead of a weekly time sink. Here, you can check out a few of my case studies: I helped Wayfair's Marketing Engineering team develop a comprehensive cross-channel attribution model that unified data from paid search, display, email, social media, and content marketing. The project involved implementing server-side tracking, building ML-powered attribution models, and creating dashboards that visualized the complete customer journey. The result was a 16% increase in ROAS and multiple 8-figures in additional revenue through optimized ad spend and improved customer targeting. I helped Kum&Go, a retail company with 430 stores and nearly 500K loyalty subscribers, implement RFM segmentation using machine learning. The project involved collecting and normalizing customer data, building K-means clustering models, and creating actionable customer segments for targeted marketing campaigns. The results included an 18% increase in email open rates and click-through rates, along with a 16% increase in customer lifetime value. I also support marketing agencies with white-labeled dashboard solutions that pull live data from their clients' ad accounts, eliminating the manual spreadsheet exports and screenshot reports that consume hours every week. My approach saves their respective teams 5-10 hours every week on reporting, and ensures the numbers are always consistent and trustworthy. I can extract and normalize data from virtually any source, including ad platforms, e-commerce systems, email marketing tools, CRMs and more. When it comes to building dashboards, I have extensive experience with the following technologies: Analytics and CRM: GA4, HubSpot, Klaviyo, Salesforce, ActiveCampaign Data Warehouses: BigQuery, Snowflake, Amazon Redshift, PostgreSQL, ClickHouse Data Visualization: Power BI, Looker Studio, Tableau, Data Studio, Metabase, Superset Thanks for taking the time to read this. If you think we might be a good fit, feel free to send me a message here on Upwork. Looking forward to connecting with you!

I transform businesses through AI innovation and strategic growth planning, combining 15+ years of technical and management experience with hands-on startup expertise. As a former Dell Technologies Principal Technologist and current founder of an AI startup, I bridge the gap between technical possibilities and business success. I bring a unique blend of technical expertise and strategic vision to help businesses thrive in the digital age. What I Deliver: - Custom AI solutions that automate your workflows and reduce operational costs - Strategic roadmaps that turn your business vision into actionable plans - Data-driven customer discovery that validates your market opportunities (Get your 1st customer) - Lean MVP development that gets your product to market faster - Streamline operations, implement cutting-edge solutions, and develop robust business models Why Work With Me: ✓ Lean Six Sigma Green Belt certified ✓ Harvard-educated in Management Innovation & Entrepreneurship ✓ Founded and scaled multiple ventures ✓ Led multi-million dollar technical programs at Dell Technologies ✓ Award-winning innovation practitioner ✓ Proficient in product and service development using Human-Centered Design Services I Offer: AI Implementation & Automation ✓ Custom AI agent development (Claude, ChatGPT, Copilot, Flux LoRa) ✓ Workflow automation using make.com ✓ Intelligent chatbot design and deployment ✓ AI integration strategy and execution Startup Strategy & Growth ✓ Customer discovery and validation ✓ Product-market fit analysis ✓ Business model design and innovation ✓ Value proposition development ✓ MVP strategy and roadmap creation ✓ Digital transformation and innovation Technical Program Management ✓ Product development oversight ✓ Agile/Scrum implementation ✓ Risk management and mitigation ✓ Stakeholder alignment and communication My Working Style: I combine methodical execution with innovative thinking to deliver results that exceed expectations. Every engagement includes: ✓ Clear milestone setting and regular progress updates ✓ Data-driven decision making ✓ Flexible communication adapted to your needs ✓ Knowledge transfer to ensure long-term success Recent Achievements: ✓ Reduced Release to Manufacturing time by 41% through Lean Six Sigma implementation ✓ Successfully launched AI-powered management consulting platform ✓ Led cross-functional teams across 3 continents ✓ Designed and implemented innovation programs adopted by Fortune 500 companies Let's discuss how I can help drive your business forward through strategic innovation and technical excellence.