Issac Saeed

D

Lead Machine Learning Engineer

DataWorks

Jan 2022 - Current (4 years 4 months)

Designed transformer based natural language models that improved document understanding and search relevance for enterprise platforms. Built distributed training environments with multi GPU infrastructure to accelerate experimentation and reduce model development cycles. Created low latency inference pipelines for customer facing applications using Triton Inference Server and optimized PyTorch runtimes. Established an internal MLOps foundation including model lifecycle workflows, feature tracking, and continuous monitoring of production systems. Led a team of engineers, reviewed architecture decisions, and guided members in deploying production grade models. Collaborated with product teams to identify opportunities where ML systems could di

C

Senior Machine Learning Engineer

ClarioTech Solutions

Nov 2019 - Dec 2021 (2 years 2 months)

Developed anomaly detection systems for financial event streams using autoencoders and time series models. Implemented domain compliant NLP pipelines that reduced manual review efforts for large document sets. Designed and deployed inference services using FastAPI, Kafka, and Redis to support continuous data flow systems. Automated model retraining pipelines with Airflow and integrated CI setups to maintain data freshness and model stability. Created internal evaluation frameworks to benchmark inference engines and optimize resource usage.

AI and ML Engineer

Sift

Jun 2016 - Oct 2019 (3 years 5 months)

Built machine learning workflows to support digital operations, forecasting, and real time event analysis across enterprise teams. Designed predictive engines using PyTorch and classical ML methods to improve service reliability and reduce operational delays. Implemented streaming analytics on Kafka to support high volume decision platforms. Worked closely with engineering teams to embed ML features in backend systems used by enterprise clients. Deployed monitoring dashboards with Grafana to improve visibility into production model behavior.

Data Scientist

Mixpanel

Jun 2012 - May 2016 (4 years)

Built customer behavior modeling solutions including churn prediction and value segmentation systems. Designed rapid experimentation pipelines enabling fast evaluation of multiple model architectures. Optimized large scale data processing workflows using Dask and NumPy to reduce analysis time. Developed ML based microservices integrated with internal reporting tools and dashboards. Worked directly with stakeholders to translate business questions into data driven strategies.

About

Detail

Timeline

Résumé