Abid Thomson
@abidthomson
I'm a Machine Learning Engineer specializing in Generative AI, LLMs, and scalable production ML systems.
What I'm looking for
I am a Machine Learning Engineer with over 10 years' experience building generative AI, NLP, and LLM solutions, from research prototypes to production deployments. I design and deploy scalable ML pipelines, fine-tune models (GPT, BERT, T5, RoBERTa, LLaMA) and leverage tools like LangChain, Hugging Face, FAISS and Pinecone.
At companies including Hightouch, Algorithmia, Google and DataRobot, I've led cross-functional teams, implemented robust MLOps pipelines, and reduced production model issues through monitoring, CI/CD and scalable inference on AWS, GCP and Azure. I mentor engineers, collaborate with product stakeholders, and focus on delivering reliable, low-latency AI that drives measurable business impact.
Experience
Work history, roles, and key accomplishments
Lead Machine Learning Engineer
Hightouch
Jan 2024 - Present (1 year 7 months)
Designed and implemented scalable ML models and end-to-end pipelines, improving accuracy on key business metrics and reducing production incidents. Led a cross-functional ML team and deployed LLM inference on GPU-backed clusters with CI/CD for model delivery.
Senior ML & MLOps Engineer
Algorithmia
Oct 2020 - Dec 2023 (3 years 2 months)
Built and maintained MLOps pipelines to automate model training, deployment, and monitoring, increasing deployment reliability and reproducibility. Implemented model versioning and monitoring to detect drift and streamline enterprise rollouts.
Machine Learning Engineer
Jul 2019 - Oct 2020 (1 year 3 months)
Developed and deployed generative AI and transformer-based models to enhance product features, improving model accuracy and availability in production. Optimized large-scale training and inference workflows using TensorFlow and internal tooling for low-latency user experiences.
Machine Learning Engineer
DataRobot
Jan 2015 - Jun 2019 (4 years 5 months)
Designed end-to-end ML solutions and data pipelines, delivering recommendation and predictive models that improved user engagement and retention. Optimized training workflows and integrated models into production to reduce computation time and accelerate feature delivery.
Education
Degrees, certifications, and relevant coursework
Martha’sVineyardUniversity
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from Martha’sVineyardUniversity.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
Apache Flink
Superset
Bokeh
GitHub
GitLab
Bitbucket
Kubernetes
Jenkins
GitHub Actions
GitLab CI
PySpark
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
InfluxDB
HBase
Gmail
Databricks
OpenCV
Redis
Terraform
Pulumi
Jira
Java
Julia
MATLAB
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Streamlit
DataRobot
Neptune
NLTK
Kafka
FastAPI
Grafana
Prometheus
Serverless
Kafka Streams
Airflow
Apache Beam
Google BigQuery
TimescaleDB
SQL
XGBoost
Hugging Face
LightGBM
CatBoost
Podman
Qdrant
LangChain
Weights & Biases
Evidently AI
BentoML
Pinecone
Hightouch
Availability
Location
Authorized to work in
Job categories
Skills
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