Roman A. Khalid
Machine Learning Architect | AI & Data Science Platform Leader | Generative AI & MLOps
Hempstead,NY
Work Preference
Summary
Machine Learning Architect with 12+ years of experience designing and scaling enterprise AI and Data Science platforms across healthcare, finance, and technology domains. Proven leader in building cloud-native ML, Data Science, and Generative AI systems with strong ML Ops, security, and governance. Expert in LLM fine-tuning, RAG pipelines, real-time inference platforms, and distributed data architectures. Track record of reducing infrastructure costs, accelerating time-to-production, and delivering compliant, production-grade AI solutions in AWS, Azure, and GCP environments.
Overview
14
14
years of professional experience
3
3
Certificates
Work History
Machine Learning Architect
Accenture – Applied Intelligence
03.2022 - Current
- Architect and lead enterprise AI platforms for Fortune 500 clients across healthcare, insurance, and financial services.
- Designed secure, compliant ML architectures aligned with HIPAA, GDPR, SOC2, ISO 27001.
- Built production Generative AI and LLM systems using RAG pipelines, vector databases, and fine-tuned foundation models (LoRA, PEFT).
- Led implementation of cloud-native inference platforms using Kubernetes, Ray Serve, KFServing, BentoML, TorchServe.
- Established enterprise MLOps pipelines using MLflow, GitHub Actions, Jenkins, W&B, enabling continuous deployment and monitoring.
- Reduced GPU infrastructure costs by 35–40% through autoscaling, quantization, batching, and caching.
- Partner with C-level stakeholders to define AI strategy and modernization roadmaps.
Lead Machine Learning Engineer / AI & Data Science
Orases
02.2018 - 02.2022
- Designed IBM’s enterprise AI & Data Science platform supporting real-time and batch ML workloads at global scale.
- Implemented standardized Data Science and ML pipelines for NLP, forecasting, anomaly detection, and recommender systems.
- Built centralized feature stores, model registries, experiment tracking, and governance frameworks.
- Integrated event-driven pipelines using Kafka, Flink, Pub/Sub for real-time model scoring.
- Deployed Kubernetes-based serving systems with automated CI/CD.
- Led cross-functional data scientists, ML engineers, and platform teams.
Senior Machine Learning Engineer
Azati
02.2015 - 01.2018
- Designed ML solutions for predictive analytics, computer vision, and recommendation systems.
- Built large-scale data pipelines using Spark, Airflow, Delta Lake, Snowflake.
- Implemented explainability and fairness pipelines using SHAP, LIME, and bias analysis.
- Automated model deployment with Docker, Kubernetes, and CI/CD.
Machine Learning Engineer / Data Scientist
Morse Corp
01.2012 - 01.2015
- Developed ML models for classification, forecasting, and anomaly detection.
- Built feature pipelines using Python, SQL, and Spark.
- Collaborated with software teams to integrate models into production systems.
Education
Bachelor of Science - Computer Science
NJCU-Kean
Skills
Machine Learning & AI
Classical ML, Deep Learning (CNN, RNN, Transformers), LLM Fine-Tuning, Foundation Models, NLP, Computer Vision, Recommender Systems, Time Series Forecasting, Feature Engineering, Feature Stores, SHAP, LIME, Bias Detection, Hyperparameter Tuning, Quantization, Pruning, MLflow, Weights & Biases
Data Engineering
Apache Spark, Databricks, Flink, Kafka, Kinesis, Pub/Sub, Delta Lake, Iceberg, Hudi, Snowflake, BigQuery, PostgreSQL, MongoDB, Cassandra, Airflow, Prefect, Dagster, DataHub, Amundsen
MLOps & Deployment
CI/CD, GitHub Actions, Jenkins, GitOps, REST, gRPC, Batch & Real-Time Inference, Model Registries, Drift Monitoring, A/B Testing, Canary Releases, Docker, Kubernetes, Helm, KFServing, BentoML, TorchServe, Ray Serve
Cloud Platforms
AWS (SageMaker, EKS, Glue, Redshift), Azure (AML, Synapse, AKS), GCP (Vertex AI, BigQuery, GKE), GPU/TPU Orchestration, Autoscaling, Cost Optimization
Generative AI
RAG Pipelines, Vector Databases (Pinecone, Weaviate, FAISS), Prompt Engineering, LoRA, PEFT, Responsible AI
Security & Compliance
HIPAA, GDPR, SOC2, ISO 27001, Encryption, RBAC, Secrets Management, Audit Trails, AI Governance
Languages & Architecture
Python, Java, Scala, C, Microservices, Distributed Systems, Event-Driven Architecture, API Design
Leadership
Enterprise AI Strategy, Platform Architecture, Roadmaps, Stakeholder Management, Team Mentoring, Vendor Evaluation
Certification
AWS Certified Machine Learning – Specialty
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Machine Learning Architect
Accenture – Applied Intelligence
03.2022 - Current
Lead Machine Learning Engineer / AI & Data Science
Orases
02.2018 - 02.2022
Senior Machine Learning Engineer
Azati
02.2015 - 01.2018
Machine Learning Engineer / Data Scientist
Morse Corp
01.2012 - 01.2015
Bachelor of Science - Computer Science
NJCU-Kean