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Hi, I’m Shykh Hafeez, a Senior AI/ML Engineer specializing in building production-grade AI SaaS platforms, fintech intelligence, and healthcare AI solutions. I focus on Generative AI, LLMs, Retrieval-Augmented Generation, and cloud-native ML infrastructure. I turn cutting-edge AI research into scalable, secure systems that drive real-time insights and support mission-critical decisions. With experience spanning design, deployment, and governance, I’ve architected end-to-end ML pipelines, led distributed training efforts, and delivered robust MLOps practices. I’ve implemented NLP and computer vision solutions across industries, and I’m passionate about building impactful AI solutions with governance and reliability in mind.…Hi, I’m Shykh Hafeez, a Senior AI/ML Engineer specializing in building production-grade AI SaaS platforms, fintech intelligence, and healthcare AI solutions. I focus on Generative AI, LLMs, Retrieval-Augmented Generation, and cloud-native ML infrastructure. I turn cutting-edge AI research into scalable, secure systems that drive real-time insights and support mission-critical decisions. With experience spanning design, deployment, and governance, I’ve architected end-to-end ML pipelines, led distributed training efforts, and delivered robust MLOps practices. I’ve implemented NLP and computer vision solutions across industries, and I’m passionate about building impactful AI solutions with governance and reliability in mind.

Shykh Hafeez

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Shykh Hafeez, a Senior AI/ML Engineer specializing in building production-grade AI SaaS platforms, fintech intelligence, and healthcare AI solutions. I focus on Generative AI, LLMs, Retrieval-Augmented Generation, and cloud-native ML infrastructure. I turn cutting-edge AI research into scalable, secure systems that drive real-time insights and support mission-critical decisions. With experience spanning design, deployment, and governance, I’ve architected end-to-end ML pipelines, led distributed training efforts, and delivered robust MLOps practices. I’ve implemented NLP and computer vision solutions across industries, and I’m passionate about building impactful AI solutions with governance and reliability in mind.…Hi, I’m Shykh Hafeez, a Senior AI/ML Engineer specializing in building production-grade AI SaaS platforms, fintech intelligence, and healthcare AI solutions. I focus on Generative AI, LLMs, Retrieval-Augmented Generation, and cloud-native ML infrastructure. I turn cutting-edge AI research into scalable, secure systems that drive real-time insights and support mission-critical decisions. With experience spanning design, deployment, and governance, I’ve architected end-to-end ML pipelines, led distributed training efforts, and delivered robust MLOps practices. I’ve implemented NLP and computer vision solutions across industries, and I’m passionate about building impactful AI solutions with governance and reliability in mind.

Available to hire

Hi, I’m Shykh Hafeez, a Senior AI/ML Engineer specializing in building production-grade AI SaaS platforms, fintech intelligence, and healthcare AI solutions. I focus on Generative AI, LLMs, Retrieval-Augmented Generation, and cloud-native ML infrastructure. I turn cutting-edge AI research into scalable, secure systems that drive real-time insights and support mission-critical decisions.

With experience spanning design, deployment, and governance, I’ve architected end-to-end ML pipelines, led distributed training efforts, and delivered robust MLOps practices. I’ve implemented NLP and computer vision solutions across industries, and I’m passionate about building impactful AI solutions with governance and reliability in mind.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Senior AI/ML Software Engineer at Synthesis AI

May 1, 2024 - Present

Architected scalable AI SaaS microservices using FastAPI, Docker, and Kubernetes. Built production-ready REST APIs integrating LLM-powered copilots into enterprise workflows. Implemented multi-tenant cloud architecture on AWS and GCP. Planned Retrieval-Augmented Generation pipelines with Pinecone and FAISS, improving document retrieval relevance across 500k records. Developed generative AI assistants for document intelligence. Established CI/CD with GitHub Actions and Terraform. Deployed real-time monitoring with Prometheus and Grafana. Optimized inference latency with batching, caching, and asynchronous processing. Integrated MLflow for governance and experiment tracking and orchestrated retraining with Airflow. Enhanced prompt engineering for controlled LLM experiments. Ensured SOC2/ISO-aligned architecture.

Machine Learning Engineer – Fraud & Risk at SynapseFi

January 1, 2022 - February 1, 2024

Matured fraud detection models using XGBoost and ensembles, reducing fraudulent transactions by 34% and improving risk scoring to 92% across 5M+ monthly transactions. Built real-time credit decisioning with sub-200ms latency. Implemented explainable AI with SHAP for regulatory transparency. Fine-tuned transformer-based NLP for financial document classification. Built feature pipelines via Spark/Databricks. Deployed anomaly detection (autoencoders). Initiated RAG architecture for compliance audit workflows. Created generative AI reporting tools for automated regulatory summaries via LLMs. Established retraining with MLflow and DVC for reproducibility. Strengthened governance to meet FINRA and PCI-DSS.

AI Engineer – Clinical Intelligence at Olive AI

December 1, 2018 - December 1, 2021

Upgraded ICU deterioration prediction with LSTM architectures achieving 89% predictive accuracy, enabling clinicians to identify high-risk patients earlier. Improved medical image classification via EfficientNet with 28% accuracy gains on large datasets. Built NLP models with BioBERT for structured note extraction. Designed clustering frameworks for patient risk cohorts. Explored RL for treatment optimization, GANs for synthetic data, and anomaly detection for lab patterns. Developed RAG solutions for contextual medical query answering and AI summarization of EHR narratives. Applied LIME for clinician-friendly explanations and conducted robustness evaluation with CV/HPO. Documented internal AI research to guide clinical adoption.