Open to opportunities

Abid Walker

@abidwalker

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Seasoned Machine Learning Engineer with expertise in AI/ML solutions.

United States

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What I'm looking for

I seek opportunities to innovate in AI/ML, focusing on impactful projects and team collaboration.

I am a seasoned Machine Learning Engineer with over 11 years of experience in designing scalable AI and ML solutions across various sectors, including healthcare, finance, and e-commerce. My expertise lies in deep learning, large language models (LLMs), and real-time data pipelines, utilizing frameworks such as TensorFlow, PyTorch, and Hugging Face. I have a proven track record of driving cross-functional collaboration and mentoring teams to deliver production-grade ML systems that enhance decision-making and automation.

In my current role as Lead Machine Learning Architect at CortexAI Labs, I have successfully designed and deployed production-grade Retrieval-Augmented Generation (RAG) pipelines, fine-tuned LLMs to reduce hallucinations significantly, and developed real-time chatbot APIs. My previous experience at NeuroSynth Analytics involved building a HIPAA-compliant AI platform for medical imaging and leading MLOps strategies to optimize model performance. I am passionate about leveraging my skills to create impactful AI solutions that address real-world challenges.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Architect

Current

CortexAI Labs

Jul 2024 - Present (1 year)

Designed and deployed production-grade RAG pipelines using LangChain, FAISS, and OpenAI's GPT-4-turbo for enterprise document intelligence. Led the adoption of MLflow and Evidently to standardize model tracking and drift monitoring in CI/CD.

Lang Chain Faiss GPT 4 Turbo PEFT)fastAPI MLFlow Evidently AWS Sagemaker EKS

Principal Machine Learning Engineer

NeuroSynth Analytics

May 2021 - Jun 2024 (3 years 1 month)

Developed advanced time-series forecasting models using XGBoost and Temporal Fusion Transformers to predict patient risk scores. Led MLOps strategy by integrating Vertex AI, Kubeflow, and Prometheus for model orchestration and performance monitoring.

XGBoost Temporal Fusion Transformers HIPAA)Apache Beam BigQuery U Net ResNet Vertex AI Kubeflow Prometheus

Senior Machine Learning Engineer

OpenAI

Mar 2020 - Apr 2021 (1 year 1 month)

Contributed to fine-tuning transformer-based models for language understanding and code generation tasks, enhancing accuracy by 18% in benchmark tests. Designed and deployed experimentation pipelines for prompt engineering, enabling rapid iteration for GPT-3 application prototypes.

Prompt Engineering GPT 3 Kubernetes fastAPI Few Shot Learning

Machine Learning Engineer

VisionaryIQ

Jun 2013 - Feb 2020 (6 years 8 months)

Developed real-time object detection systems using YOLOv3, ResNet, and custom CNNs for smart retail environments. Engineered multi-camera tracking systems with synchronized frame ingestion pipelines using Kafka and OpenCV.

YOLOv3 ResNet CNN TensorRT Active Learning Kafka OpenCV SHAP LIME

Education

Degrees, certifications, and relevant coursework

University of Engineering and Technology

Bachelor of Science, Computer Science

Studied Computer Science at the University of Engineering and Technology. Gained foundational knowledge and practical skills in various aspects of computing.