Sheraz Ahmad

Lead AI Engineer

Improved production AI performance by owning model training, fine-tuning, deployment, and system optimization, increasing inference performance by up to 17%. Built a centralized feature store with Azure Data Lake, Delta Lake, and Redis, cutting model training time by 40%.

Model TrainingFine TuningDeploymentSystem OptimizationAzure Data LakeDelta LakeRedisAI SystemsDevOps

Data Scientist, Product Engineering

Built and released LLM and RAG applications for Fortune 500 pharmaceutical clients, combining vector retrieval, multimodal data processing, and Docker-based deployments while supporting GDPR and HIPAA requirements. Led migration of the flagship Forecasting Engine from Databricks Delta Lake to Snowflake, reducing monthly compute costs by 85% and cutting processing time by 50%.

LLMRAGDockerGDPRHIPAADatabricksDelta LakeSnowflakeTerraform

Machine Learning Engineer

Enabled real-time recommendation and decision systems by building streaming data pipelines with AWS Kinesis and Apache Flink. Replaced an Elasticsearch-based indexing workflow with Apache Spark on AWS EMR, reducing indexing runtimes by 80% and improving scalability for large data workloads.

AWS KinesisApache FlinkApache SparkElasticsearchData PipelinesRecommendation SystemsFraud Detection

Data Scientist II

Afiniti

Improved feature extraction for production models by building NLP pipelines with Hugging Face, NLTK, and spaCy for sentiment analysis and text classification. Led the migration of a production framework from v5 to v6, completing validation and deployment one week ahead of schedule.

NLPHugging FaceNLTKSpaCySentiment AnalysisFeature EngineeringPipeline ProductionMigration Frameworks

Data Scientist I

Afiniti

Owned model development, feature engineering, and production pipelines for two major client accounts. Managed 5 production model units supporting $7.5M in monthly client revenue, contributing 6% to 12% incremental monthly sales.

Model DevelopmentFeature EngineeringPipeline ProductionLightGBMClient Management