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I am a senior GenAI and AI/ML engineer with 10+ years of experience building production-grade AI, data, and cloud-native systems. He has led end-to-end development of scalable ML and Generative AI platforms in healthcare, delivering reliable, compliant solutions with measurable real-world impact. His expertise spans Python, distributed systems, MLOps, and cloud infrastructure, with a strong focus on system design, ownership, and collaboration.…I am a senior GenAI and AI/ML engineer with 10+ years of experience building production-grade AI, data, and cloud-native systems. He has led end-to-end development of scalable ML and Generative AI platforms in healthcare, delivering reliable, compliant solutions with measurable real-world impact. His expertise spans Python, distributed systems, MLOps, and cloud infrastructure, with a strong focus on system design, ownership, and collaboration.

Suhail Ahmed

AI Engineer, Data Scientist, AI Developer, +7

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I am a senior GenAI and AI/ML engineer with 10+ years of experience building production-grade AI, data, and cloud-native systems. He has led end-to-end development of scalable ML and Generative AI platforms in healthcare, delivering reliable, compliant solutions with measurable real-world impact. His expertise spans Python, distributed systems, MLOps, and cloud infrastructure, with a strong focus on system design, ownership, and collaboration.…I am a senior GenAI and AI/ML engineer with 10+ years of experience building production-grade AI, data, and cloud-native systems. He has led end-to-end development of scalable ML and Generative AI platforms in healthcare, delivering reliable, compliant solutions with measurable real-world impact. His expertise spans Python, distributed systems, MLOps, and cloud infrastructure, with a strong focus on system design, ownership, and collaboration.

Available to hire

I am a senior GenAI and AI/ML engineer with 10+ years of experience building production-grade AI, data, and cloud-native systems. He has led end-to-end development of scalable ML and Generative AI platforms in healthcare, delivering reliable, compliant solutions with measurable real-world impact. His expertise spans Python, distributed systems, MLOps, and cloud infrastructure, with a strong focus on system design, ownership, and collaboration.

Skills

Experience Level

Expert

Expert

Expert

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Expert

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Expert

Expert

Expert

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Expert

Expert

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Expert

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Expert

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Expert

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Expert

Expert

Language

English

Fluent

Javanese

Advanced

Aragonese

Advanced

Afar

Advanced

Bashkir

Advanced

Work Experience

Senior GenAI Engineer & Team Lead at Tempus AI

March 20, 2022 - Present

Led cross-functional team delivering LLM-powered clinical intelligence for oncology and genomics. Built RAG pipelines uniting EHR/FHIR and imaging data with LangChain and FAISS; deployed GPT-4-based summarization pipelines (SageMaker + FastAPI) to generate clinician-focused reports; automated training and validation with MLflow and Airflow; ensured HIPAA/SOC2 compliance; delivered 65% faster insight delivery and reduced manual effort.

Data Scientist at Tempus AI

June 20, 2019 - October 26, 2025

Built predictive models (XGBoost, CNNs) for genomics and oncology treatment outcomes; developed HL7/FHIR integration pipelines; improved data access and governance; created evidence-based treatment recommendations.

ML Engineer / Multimodal Risk Prediction Platform at Tempus AI

January 1, 2022 - October 26, 2025

Led end-to-end ML pipeline development for a Multimodal Risk Prediction Platform (2020–2022): integrated EHR, genomics, and imaging data; built PyTorch and TensorFlow models orchestrated via Airflow and MLflow; deployed on SageMaker and Spark; introduced data drift tracking and model transparency audits; improved prediction accuracy by 17% and inference latency by 45%.

FHIR Streaming & Integration Layer Lead at Tempus AI

January 1, 2020 - October 26, 2025

Developed scalable data ingestion using Kafka, Redis Streams, and Spark Streaming to handle live HL7/FHIR events from 50+ partner hospitals; designed schema enforcement, transformation, and enrichment pipelines; enabled seamless downstream ML and GenAI systems with sub-2-second latency; established end-to-end data governance and HIPAA-compliant handling.

Senior Gen AI Engineer & Team Lead at Tempus AI

March 20, 2022 - November 6, 2025

Led cross-functional team delivering LLM-powered clinical intelligence for oncology and genomics. Built RAG pipelines combining EHR/FHIR and imaging data with blockchain + FAISS to accelerate insight delivery. Deployed GPT-4-based summarization APIs on SageMaker + FastAPI to reduce report generation from hours to minutes. Designed multimodal embeddings to improve prediction precision and latency. Automated retraining and validation with MLflow and Airflow ensuring full HIPAA/SOC2 compliance.

Senior AI/ML Engineer & Team Lead at Tempus AI

March 20, 2022 - March 20, 2022

Led end-to-end AI/ML initiatives across oncology and genomics; built multimodal data pipelines (EHR, genomics, imaging) and deployed models on cloud platforms. Implemented HIPAA/SOC2-compliant CI/CD and monitoring, improving time-to-insight for clinical tasks.

Data Scientist at Tempus AI

June 20, 2019 - June 20, 2019

Built predictive models (XGBoost, CNNs) for genomic variant classification and treatment outcomes. Developed HL7/FHIR integration pipelines, improving data accessibility by ~40%.

Data Engineer at Stealth Mode Startup

February 1, 2017 - February 1, 2017

Designed ETL pipelines (Python, Spark, Airflow) → latency from 12h to 1h; achieved 99.998% reliability. Automated ingestion into AWS Glue + Redshift, reducing analytics cost by ~35%.

FHIR Streaming and Integration Layer at Tempus AI

January 1, 2020 - January 1, 2020

Developed scalable data ingestion using Kafka + Redis Streams + Spark Streaming to handle HL7/FHIR events from 50+ partner hospitals. Designed enforcement of schema, transformations, and enrichment for multi-modal clinical data; enabled downstream ML systems with sub-2-second latency.

Multimodal Risk Prediction Platform at Tempus AI

December 31, 2022 - December 31, 2022

Engineered end-to-end ML pipeline combining EHR, genomics, and imaging embeddings for cancer risk scoring. Built PyTorch and TensorFlow models orchestrated via Airflow + MLflow; deployed on SageMaker with auto-scaling. Introduced data drift tracking and model lineage, improving transparency and compliance.

Senior Gen AI Engineer & Team Lead at Tempus AI

March 1, 2022 - November 9, 2025

Led cross-functional team delivering LLM-powered clinical intelligence for oncology and genomics. Built RAG pipelines combining EHR/FHIR and imaging data with LangChain + FAISS, achieving 65% faster insight delivery. Deployed GPT-4-based summarization APIs on SageMaker + FastAPI to reduce report generation from 2 hours to 10 minutes. Designed multimodal embeddings using PyTorch/TensorFlow, improving prediction accuracy by 17% and reducing latency by 45%. Automated retraining and validation with MLflow + Airflow, ensuring HIPAA and SOC2 compliance.

Senior AI/ML Engineer at Tempus AI

March 1, 2022 - March 1, 2022

Delivered 15+ production ML models for precision oncology; improved accuracy by 10% and latency by 70%. Automated CI/CD pipelines (Airflow + MLflow + GitHub Actions) reducing manual operations by 60%. Deployed microservices on AWS EC2 and Azure AKS with auto-scaling and drift monitoring.

Data Engineer at Stealth Mode Startup

February 20, 2017 - February 20, 2017

Designed ETL pipelines (Python, Spark, Airflow) → 12h latency to 1h latency with 99.98% reliability. Automated ingestion into AWS Glue + Redshift, reducing analytics cost by 35%.

Gen AI Engineer & Team Lead at Tempo AI

March 1, 2022 - November 18, 2025

Led a cross-functional team delivering LLM-powered clinical intelligence for oncology and genomics. Built RAG pipelines combining HL7/FHIR and imaging data with LangChain and FAISS, accelerating insight delivery by 65%. Deployed GPT-4-based summarization APIs on SageMaker with FastAPI, reducing report generation time from hours to minutes. Designed multimodal embeddings in PyTorch/TensorFlow to improve diagnostic accuracy and latency by 17% and 45%, and implemented ML workflows with MLflow and Airflow to ensure reproducibility and HIPAA-compliant processes.

Senior AI/ML Engineer at Tempo AI

March 1, 2022 - March 1, 2022

Led architecture and deployment of AI/ML models across oncology and genomics domains. Built end-to-end pipelines (data ingestion, feature engineering, model training, deployment) integrating EHR/FHIR and imaging data. Implemented CI/CD with Airflow, MLflow, and GitHub Actions; improved data accessibility by 40% and reduced inference latency.

Data Scientist at Tempo AI

June 1, 2019 - June 1, 2019

Built predictive models (XGBoost, CNNs) for genomic variant classification and treatment outcomes. Developed HL7/FHIR integration pipelines to improve data accessibility and support evidence-based decisions.

ML Engineer / ML Ops at Stealth Mode Startup

February 1, 2017 - February 1, 2017

Designed end-to-end ML pipelines combining EHR, genomics, and imaging embeddings for cancer risk scoring. Orchestrated PyTorch and TensorFlow models via Airflow + MLflow; deployed on SageMaker with auto-scaling. Introduced data drift tracking and model lineage for compliance; improved model transparency and reduced operational costs.

Gen AI Engineer & Team Lead at Tempus AI

March 20, 2022 - November 28, 2025

Led cross-functional team delivering LLM-powered clinical intelligence for oncology and genomics. Built RAG pipelines combining EHR/FHIR and imaging data with LangChain + FAISS, enabling 65% faster insight delivery. Deployed GPT-4-based summary APIs on SageMaker + FastAPI. Designed multimodal embeddings in PyTorch/TensorFlow and automated training/evaluation with MLflow; ensured HIPAA/SOC2-compliant workflows.

Senior AI/ML Engineer at Tempus AI

March 20, 2022 - March 20, 2022

Drove 15+ production ML models for precision oncology; implemented CI/CD for ML pipelines; deployed microservices on AWS ECS and Azure AKS with auto-scaling; led model evaluation and monitoring to improve reliability and inference latency.

Genomic Insight Assistant at Tempus AI

January 1, 2023 - January 1, 2023

Developed a Gen AI-powered Q&A assistant enabling oncologists to query patient genomic data and receive natural-language interpretations of variants, biomarkers, and treatment pathways. Integrated LLMs with Tempus's genomic knowledge graph and vectorized embeddings (FAISS + Pinecone). Built a clinician-facing conversation layer using LangChain Agents with access control and audit logs for compliance. Reduced research lookup time by 60% and increased genomic report adoption among clinicians by 25%.

Senior AI/ML Engineer at Tempus AI

June 20, 2019 - March 20, 2022

Delivered 15+ production ML models for oncology; built cross-cutting CI/CD pipelines (Airflow + MLflow + GitHub Actions) reducing manual ops by ~60%. Deployed microservices on AWS ECS/Azure AKS with auto-scaling; advanced multimodal embeddings; integrated with clinical data sources.

Data Scientist at Tempus AI

March 20, 2017 - June 20, 2019

Built predictive models (XGBoost, CNNs) for genomic variant classification and treatment outcomes; developed HL7/FHIR integration pipelines to improve data accessibility by clinicians; contributed to data visualization dashboards for clinical decision support.

Data Engineer at Stealth Mode Startup

June 20, 2015 - February 20, 2017

Designed ETL pipelines (Python, Spark, Airflow) for clickstream and product analytics; automated ingestion into AWS Glue + Redshift; reduced analytics cost by ~35% and improved data freshness.

Senior Gen AI Engineer & Team Lead at Temple AI

March 20, 2022 - Present

Led cross-functional team delivering LLM-powered clinical intelligence for oncology and genomics; built RAG pipelines combining EHR/FHIR and imaging data with LangChain and FAISS; deployed GPT-4-based summarization APIs; designed multimodal embeddings; ensured HIPAA/SOC2 compliant platform; accelerated diagnostic insights and reduced operational costs.

Senior AI/ML Engineer at Temple AI

June 20, 2019 - March 20, 2022

Delivered 15+ production ML models for precision oncology; automated CI/CD pipelines using MLflow, Airflow, and GitHub Actions; deployed GPT-4-based summarization APIs; built multimodal embeddings pipelines to improve prediction precision and latency; achieved HIPAA/SOC2 compliance.

Data Scientist at Temple AI

March 20, 2017 - June 20, 2019

Built predictive models (XGBoost, CNNs) for genomic variant classification and treatment outcomes; developed HL7/FHIR integration pipelines to improve data accessibility by ~40%; contributed to data engineering and model deployment on AWS/Redshift.

FHIR Streaming and Integration Layer Lead at Temple AI

January 1, 2018 - December 31, 2020

Developed scalable data ingestion using Apache Kafka, Redis Streams, and Spark; designed schema enforcement and enrichment pipelines for multimodal clinical data; enabled seamless downstream ML/GenAI systems with near real-time latency; established end-to-end data flow for HIPAA-compliant analytics.