Hire the Best Machine Learning Engineers in Massachusetts

I'm Ben Feifke, and I help my clients turn their data into their competitive edge. For the past year, I've been helping small to medium sized businesses discover and leverage the immense value locked in their data as a Top Rated, 5-Star Freelancer on Upwork. I have 10+ years experience as a data scientist and machine learning engineer for top companies, including a publicly listed company and as the founding engineer at a Y-Combinator backed startup. I've worked across a number of domains, including but not limited to: geospatial data and GIS applications, logistics and transportation, healthcare and medical technology, price optimization, social media data, sentiment analysis, building energy performance and modeling, and more. Beyond technical excellence in delivering value from data, I'm a clear communicator to audiences of all technical levels. I look forward to getting to know you and your business. Services I Offer: - ML/AI Product Development: helping you turn your ML idea and data into a clearly codified vision with an executable roadmap and timeline. - ML and Data Software Engineering: improving, optimizing, and extending the functionality of your already existing software, ML, or data solutions; I can start a project from scratch or get up and running on your ongoing project in 24 hours. - Cloud Development: Deploying, monitoring, or improving your software or data solutions in the cloud. - Business Automation: Optimizing and automating your business processes, enabling you to focus on what really matters. Why Hire Me: - Bringing success to your project is my #1 priority - I respond within 3 hours to any technical issue or question that arises during work hours, 6 days a week. Qualifications: - 5+ years working experience as a Senior Data Scientist, Machine Learning Engineer, Data Engineer, and Manager. - MS Data Science from University of Rochester - BS Optics from University of Rochester - Published Data Science blog with 15k+ reads Skills I Possess: - Programming Languages: Python (Numpy, Scipy, Scikit-Learn, Pandas, Polars, Keras, Tensorflow), SQL - Machine Learning Techniques: Regression, Statistics, Gradient Boosting, Maximum Likelihood Estimation, Probabilistic Graphical Models, Deep Learning, Hyperparameter Tuning. - Data Processing and Transformation: Apache Spark, Python Polars, AWS Glue - Dashboards: Looker, Tableau - Cloud: Amazon Web Services (AWS), Google Cloud Project (GCP) - Data Warehouse, Data Lake, Databases: GCP BigQuery, AWS Athena, PostgreSQL, MySQL, SQLite - Data Pipelines, Infrastructure, and Orchestration: Apache Airflow, Mage, dbt - Deployment and DevOps: CI/CD, Docker, Streamlit

🚀 Turning Data into Business Gold Hi, I’m Nelson — a Senior Principal Engineer with 24+ years in IT, specializing in data engineering, cloud architecture, and machine learning. I hold a master’s degree in Computer Science and an MBA, enabling me to bridge deep technical solutions with real business impact. I’m a Google Cloud Certified Professional Data Engineer and AWS Certified Solutions Architect – Professional, with hands-on experience across AWS, GCP, and OpenStack. I’ve led data and ML projects that power critical business decisions. 🔧 What I Do Best 🟨 Data Engineering • Build scalable ETL pipelines using SQL, dbt, Airflow • Work with Redshift, BigQuery, Snowflake, Databricks • Python, Pandas, Spark, Hadoop 🟨 Machine Learning • NLP, Sentiment Analysis, Classification Models 🟨 Cloud Specialist • Infrastructure on AWS, GCP, OpenShift, Ceph • DevOps, CI/CD, Linux, distributed storage systems 🏅 Certifications ✅ Google Cloud Professional Data Engineer ✅ AWS Solutions Architect – Professional ✅ Cloudera Certified Administrator for Apache Hadoop (CCAH) ✅ Red Hat Certified: OpenShift & OpenStack ✅ EMC Information Storage & Management 🧠 Skills Snapshot • Web & social media data analytics • Data modeling, warehousing, and ETL design • Hadoop, Spark, Kafka • Workflow orchestration with Airflow • Cloud-native architecture (AWS, GCP, Azure) • Relational & NoSQL DBs • Secure and compliant data design 📌 Services I Offer • Data pipeline development • End-to-end data architecture design • Cloud-based data solutions • Data warehouse implementation • Big data analytics and batch processing • Data quality and governance strategy 🌟 Highlight: Award-Winning Project 🏆 Best Big Data Paper Award – for using open datasets to predict market trends, recognized at Dell Technologies World. 💬 What Others Say “Nelson is very approachable and always willing to help. Whether it’s software development, big data analytics in the cloud, or ML projects—he delivers with expertise and curiosity.” “He gets things done. Whether it’s open-source tools or custom code on AWS, Nelson solves problems creatively and efficiently.” “Exceptional AWS skills, and incredibly patient. A true professional.” ✅ Why Work With Me I bring a strategic mindset to every project. You won’t just get code — you’ll get solutions that align with your business goals. I’m curious, detail-oriented, problem solver and relentless about delivering results. Let’s collaborate to unlock the full value of your data.

I help startups and businesses build AI-powered applications, intelligent automation systems, and machine learning solutions using Python, Large Language Models (LLMs), and modern AI frameworks. Over the past 8+ years, I have developed AI products, healthcare platforms, CRM systems, workflow automation tools, and enterprise applications with a strong focus on Python-based backend development and machine learning solutions. My expertise includes building AI agents, Retrieval-Augmented Generation (RAG) systems, LLM-powered applications, document intelligence platforms, and production-ready AI infrastructure that scales. ### Core Expertise ✅ Generative AI & LLM Applications • OpenAI, Claude, Gemini Integration • LangChain & LangGraph Development • AI Agents & Multi-Agent Systems • Retrieval-Augmented Generation (RAG) • Conversational AI & Chatbots • Knowledge Bases & Semantic Search • Prompt Engineering & Evaluation • AI Workflow Automation ✅ Machine Learning & NLP • Predictive Analytics • Recommendation Systems • Natural Language Processing (NLP) • Classification & Regression Models • Data Processing & Feature Engineering • Model Training & Deployment • MLOps & Monitoring • Custom ML Pipelines ✅ Python Backend Development • FastAPI • Django • REST APIs • Microservices Architecture • Async Processing • Background Jobs & Task Queues • Third-Party API Integrations • Scalable Backend Systems ### Selected Project Experience 🚀 AI-Powered Healthcare Platform Developed HIPAA-compliant healthcare solutions with AI-assisted workflows, document processing, reporting automation, and patient data management systems. 🚀 AI Voice Agent Platform Built a multi-tenant AI voice platform that automates customer support, appointment booking, lead qualification, and outbound calling workflows using LLMs and conversational AI. 🚀 Enterprise RAG & Knowledge Management System Designed and implemented document intelligence systems capable of processing large document collections, enabling semantic search, enterprise knowledge retrieval, and AI-powered question answering. 🚀 AI CRM & Workflow Automation Platform Built an AI-powered CRM with intelligent lead management, automated reporting, workflow orchestration, and business process automation. 🚀 Document Processing & AI Automation Developed AI-powered systems for document extraction, classification, validation, summarization, and structured data generation. ### Technical Stack Python • FastAPI • Django • LangChain • LangGraph • OpenAI • Claude • Gemini • RAG • AI Agents • NLP • Machine Learning • PostgreSQL • MongoDB • Redis • Pinecone • Weaviate • FAISS • Celery • Docker • AWS • Linux • Git • CI/CD ### Why Clients Hire Me • Strong Python & AI Engineering Background • Production-Ready AI Systems, Not Just Prototypes • Experience Building AI SaaS Products End-to-End • Scalable Backend Architecture Expertise • Clear Communication & Reliable Delivery • Focus on Business Outcomes and ROI Whether you're building an AI startup, implementing LLM-powered features, creating AI agents, developing machine learning models, or integrating Generative AI into an existing platform, I can help design, build, and deploy scalable solutions that deliver measurable business value.

As a seasoned IT professional with 10 years of working experience, I took a journey along with the industry's progression and always refreshed my skills to keep up with the trend. Starting my career as an application developer, I moved to full stack and back end development then recently moved again to machine learning. What's unchanged in the changing time is the passion for problem solving and continuous learning. Whether the task is translating ambiguous business goals to technical design and execution, or doing data analysis to guide decision making, or creating and executing a roadmap for the team, I had experience and did them well. Whether it's a 0 to 1 project (i.e rapid prototyping MVP) or one to many (high availability service) projects, I have first hand experience. This is not to mention various team roles like scrum master, component lead or retrospective coordinator I did in agile development teams.

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.

Tzofi is a PhD candidate and Qualcomm Innovation Fellow at Massachusetts Institute of Technology where his research focuses on 3D computer vision, computational imaging, and neural rendering. He has published at top research venues including CVPR, ECCV, ICCV, and ICCP. During his PhD, he has conducted research at NVIDIA and Meta. Before his PhD, he worked as a full time software and machine learning engineer at Amazon and MIT Lincoln Laboratory. He brings expertise in many computer vision problems, including, but not limited to: 1) 3D reconstruction and neural rendering (e.g. neural radiance fields, NeRF) 2) Object detection / segmentation / classification 3) Representation learning / learning with few labels