A
Ahmed Abid
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Staff Machine Learning Engineer
Illinois, United States
Résumé
Jobs
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Staff Machine Learning EngineerServiceNowOct 2024 - Current (2 years 1 month)• Building AI agents to drive customer success by forecasting risks, benchmarking performance, and surfacing account health insights using telemetry and engagement data. • Established architecture best practices (L1–L3) for modular AI services with event-driven triggers, audit logging, and Now Platform orchestration. • Collaborating cross-functionally with product, engineering, and data science teams to transform PoCs into fully governed and audit-ready AI services. • Tools: Terraform, Snowflake, Azure, Kubernetes (AKS), Kafka, Databricks, Spark.- Adjunct Faculty InstructorDePaul UniversityApr 2024 - Current (2 years 7 months)• Teaching Mining Big Data to the next generation of engineers; covering topics such as Hadoop, Hive, Spark, NoSQL, Streaming (Kafka, Flink, Storm), Linux, and Distributed Systems.
- Senior Software Engineer, Machine LearningResMedAug 2021 - Jun 2023 (1 year 11 months)• Led design and execution of a self-service ML platform supporting batch and real-time inference, continuous learning, monitoring, and support for online/offline feature stores. • Enabled full ML lifecycle for a global team of data scientists, significantly reducing time-to- production and improving model reliability. • Provided architectural guidance for ML systems across teams, ensuring scalability, reusability, and built an in-house observability solution for operation and statistical metrics. • Mentored junior/senior engineers and collaborated cross-functionally with platform, data engineering and data science teams to scale adoption and elevate technical standards. • Tools: Terraform, Apache Airflow, Snowflake, AWS (ECS, DynamoDB
- CSenior Software Engineer, Machine LearningCircinus, LLCJan 2020 - Aug 2021 (1 year 8 months)• Lead ML Infrastructure design & development, building continuous learning & inference pipelines for numerous natural language processing using state of the art language models. • Built ETL/ELT pipelines for ingesting billions of structured/unstructured data records/hour from various APIs and data streams into ElasticSearch orchestrated with Apache Airflow. • Leading a team of Data Scientists to develop and enhance ML/DL models and deploy scalable solutions for tasks including sentiment analysis, entity extraction, and document classification. • Tools: PyTorch, TorchServe, Docker, Spark, Terraform, Ansible, SageMaker, FastAPI, ElasticSearch, Jenkins, MLFlow, Textract, and Apache Airflow, Celery, SQS.
- CSoftware Engineer, Machine Learning / Data ScientistCircinus, LLCJul 2018 - Dec 2019 (1 year 6 months)• Built Full Stack ML applications for topic modeling and network databases using tools such as Python, Flask RESTful, Angular, Docker and PostgreSQL speeding up analyst research time from up to multiple week to minutes. • Developed models for classification, machine translation, anomaly detection, regression analysis and hierarchical classification using state of the art Large Language Models (LLMs). • Contributed to passing functionality/operations evaluations securing $100M/year
- Quantitative Analyst InternOptions Clearing CorporationApr 2017 - Dec 2017 (9 months)• Evaluated the addition of implied volatility scenarios, enhancing margin operations ROI for a major financial clearing house. • Back-testing and calculating margin exceedances utilizing Excel/VBA, Python and R.
- DHead of TradingDePaul Investment GroupJan 2017 - Jan 2018 (1 year 1 month)Trading strategies, regression & time series analysis.
- LLead Software Engineer, Machine Learning• Led ML Infrastructure & MLOps consulting practice, defining architecture standards and deployment patterns across clients. • Developed strategic AI plans to guide clients through ML maturity, covering the full ML lifecycle, build vs-buy decisions, and leading vendor POCs (e.g., Tecton, Arize). • Built real-time pipelines using Kinesis and Flink to generate streaming features (e.g., clicks/views) via windowed aggregations for search & ranking use cases. • Delivered production ML systems for forecasting, satellite image analysis, GenAI, and ranking. • Tools: Terraform, Snowflake, AWS, Flink, Kinesis, Airflow, Python, Spark, Launch Darkly.
Education
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- M.S. Computer ScienceGeorgia Institute of Technology
- M.S. Applied MathematicsDePaul University
- BB.S. Applied