Christian Suarez
E Stroudsburg, PA
--linkedin.com
Full-Stack AI Engineer with Gen AI, LLM
Summary
Full-stack AI Engineer with 10 years of experience and I possess a broad skill set, combining expertise in machine learning,
deep learning, data engineering, and software development to create end-to-end AI solutions. I’m a professional who can handle
every stage of an AI project, from data collection and preprocessing to model development and deployment. My role intersects
data science, machine learning, software engineering, and data engineering. I’m particularly skilled in Gen AI LLM, which I’ve
applied to the chart auditing system.
- Technical Proficiencies
Languages:
Python, JavaScript, Node.js
Machine Learning Frameworks:
Tensorflow, PyTorch, Scikit-learn
Natural Language Processing (NLP):
NLTK, SpaCy, Transformers, GPT-4, RAG, Conversational AI
Data Science Libraries:
Pandas, NumPy, SciPy
Big Data Technologies
Apache Spark, Hadoop, PySpark, Beam
Cloud Platforms
AWS, Azure, GCP
Other Technologies:
React, React Native, Apollo GraphQL, Express, Nest.js, MongoDB, SQL, Koa, Prisma ORM,
Docker, Kubernetes, Terraform, Databricks
- Career Experience
Chart Auditor LLC, Remote
AI Solution Architect / Technical Lead
4/2024 – current
An AI consultant to develop SAAS with goal of helping clinicians, businesses detect and help identify healthcare compliance
issues. Solve challenging stuff not only automating clinical data abstraction and real-world evidence but also improving
patient safety and clinical decision support. Additionally, fine-turned BioGPT LLM model specifically to the medical domain.
Skills: Python, Tensorflow, OCR, OpenParse, LlamaIndex, NLM, RAG, CoT, SaaS, Prompt Engineering, Langchain,
Langsmith, ChromaDB, FastAPI
Insite AI, Remote
Senior AI/ML Engineer
3/2022 – 2/2024
Designing and developing cutting-edge core ML products, with a particular emphasis on recommendation engines, worldclass AI solutions to generate granular assortment and pricing decisions, which drives revenue, profitability, improve the
market share and uplift for large CPGs. Spearheaded the creation of real-time market data and performance forecasts to
pick the next winners. Utilizing AI elements and powerful predictive capabilities, I gathered diverse sources of unstructured
data to deliver granular insights that allowed the brand to forecast performance over a two-year duration. Adept at swiftly
managing and resolving bug tickets and other software issues to ensure seamless product performance. Excelled in creating
impactful product presentations for both internal and external stakeholders, showcasing technical prowess and business
acumen. Additionally, authored comprehensive documentation for internal tools, enhancing troubleshooting efficiency across
the team.
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Solved consumer goods manufacturers’ (CPG) most complex category and revenue growth management challenges,
including assortment, demand forecasting, pricing and trade optimization, and space
Implemented ML algorithms such as decision trees, random forests, and neural networks to process large datasets
and uncover complex patterns to learn from historical data to improve prediction accuracy over time.
Created and implement machine learning algorithms tailored to analyze diverse sources of unstructured data,
focusing on demand drivers
Applied NLP techniques to analyze unstructured data sources, such as customer reviews and social media
interactions
Christian Suarez
Skills: Python, numpy, scipy, astropy, Apache Hadoop, Spark, Power BI, tensorflow, BERT, SQL, Docker, Databricks, Git
Cognistx, Pittsburgh PA
Gen AI Python Engineer
1/2020 – 2/2022
Specializing in pioneering advancements in QR code technology and seamless integration solutions. Successfully
implemented a QR code art image generation system and a Stable Diffusion pipeline for the company's main production,
elevating the functionality and aesthetics of QR code images. Played a pivotal role in fostering synergy across platforms,
mobile apps, QR codes, and smart products, revolutionizing the way professionals share contact information and generate
leads. Proficiently developed API server components, including Gateway and Services using Nest.js, to facilitate seamless
communication within the ecosystem. Further demonstrated technical expertise by implementing a data visualization feature
and a real-time notification system through web socket connections.
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Implemented QR code art image generation system for company
Implemented Stable Diffusion pipeline system for company's main production (QR code image)
Contributed to team’s platform, mobile app, QR codes and smart products work together to allow professionals to
share contact info and collect new leads like never before.
• Developed API server including Gateway, Service using Nest.js
• Implemented Data visualization for bet feature and web socket connection for real-time notification system
• Implemented the wallet connect feature to enable users to connect to the website using various web3 wallets such
as Metamask and Trust Wallet on both desktop and mobile platforms
Skills: Tensorflow, Pytorch, transformers, NLTK, sklearn, OpenCV, pandas, matplotlib, Spacy, Hugging face, Flask, BERT,
T5, Pegasus
Argo AI, Pittsburgh PA
Python AI/ML Engineer
7/2018 – 12/2019
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Designed AI systems and desktop app having GUI with PyCharm and PyQt, enhancing operational efficiency through
automation and reducing errors by 22%
• Built many chatbot systems using openai and chatgpt3 and 4 with langchain and LLM techniques
• Restructured and supervised AI-based databases, implementing data cleaning and preprocessing techniques to
enhance data quality by 26% and reduce data retrieval time by 35%
• Participated in public relations (PR) reviews and open discussions with other engineers to provide (and receive)
constructive feedback regarding then-current engineering activities.
Skills: OpenCV, Deep Face, Python, Django REST Framework, AWS EC2, Amazon Web Services
Python Web Engineer
11/2016 – 6/2018
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Developing and maintaining high-performance backend APIs using FastAPI
Interacting with relational databases using SQL Alchemy by uploading and downloading files to and from AWS S3
using Boto3
• Setting up and configuring GitLab CI to automate the building, testing, and deployment of a Python application and
deploying a performant Python application to AWS using Elastic Beanstalk
Skills: FastAPI, NumPy, Scikit-learn, React.js, Python, Django REST Framework, Amazon Web Services
University of Pennsylvania
Research Assistant
3/2014 – 2/2016
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Designs and implements molecular construction of reacting reagents, reaction conditions, to computationally
determine reaction pathway of catalytic cycle via ORCA, enhancing prediction accuracy by 65%, and reduces
prediction time by 25%
• Develops experimental procedures for operating stopped-flow instrument, leading to 90% improvement in efficiency
and successfully examples over 10 molecular reactivities of interest
• Demonstrated data transformation, analysis, model building and visualization using Pyspark and Scala in AWS
Zepplelin
• Scrape AI-driven 30GB+ data from 500+ urls mainly using python scrapy module
Skills: Python ( scipy, Pyspark), AWS, Git, Cloud computing, Problem solving
- Education
Bachelor Degree in Computer Science
University of Pennsylvania
(2012 – 2016)
Christian Suarez
