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Abhishek Kumar

@abhishekkumar29

Message

AI Engineer with expertise in machine learning and model deployment.

United States

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to solve complex problems and contribute to impactful projects.

I am an AI Engineer with three years of experience in designing, deploying, and optimizing AI/ML models across various domains, including natural language processing and computer vision. My expertise lies in building scalable MLOps pipelines on cloud platforms such as AWS, GCP, and Azure, ensuring efficient model deployment and management.

Throughout my career, I have successfully engineered ML pipelines and developed real-time object detection systems, significantly improving processing times and model accuracy. My work at Comcast involved utilizing cutting-edge technologies like TensorFlow and PyTorch to create innovative solutions that drive business value. I am passionate about responsible AI deployment and have a proven track record in research-backed AI automation.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Comcast

May 2025 - Present (2 months)

Engineered scalable ML pipelines on GCP Vertex AI using TensorFlow, MLflow, and Apache Airflow for live model retraining and deployment. Built real-time Object Detection systems with OpenCV, PyTorch, and ONNX, reducing processing time by 35%.

TensorFlow MLFlow Apache Airflow OpenCV PyTorch Onnx Hugging Face fastAPI Kubernetes Docker Terraform Streamlit Prometheus Grafana OAuth JWT

AI Engineer – Summer Internship

eBay Inc.

May 2024 - Aug 2024 (3 months)

Fine-tuned BERT and GPT-2 models for review classification and summarization with Hugging Face Transformers and PyTorch Lightning. Designed and containerized inference endpoints with Docker and deployed using AWS Lambda and SageMaker.

BERT Pytorch Lightning Docker AWS Lambda AWS Sagemaker Airflow SQL Dask SHAP LIME Gradio SpaCy Transfer Learning BLEU ROUGE Tensorboard

AI Engineer

Dentsu International

Jun 2021 - Jul 2023 (2 years 1 month)

Built audience segmentation models using K-Means, DBSCAN, and PCA, deployed via Azure ML pipelines. Led the design of an NLP-driven ad classification engine using Scikit-learn, XGBoost, and LightGBM.

K Means DBSCAN scikit learn XGBoost LightGBM Flask Plotly MongoDB Git Collaborative Filtering Deep Learning Agile Scrum

Education

Degrees, certifications, and relevant coursework

Stevens Institute of Technology

Master of Science, Computer Science

Grade: 3.76

Activities and societies: Relevant Courses: Deep Learning, Machine Learning, Big Data, Web Mining, Mathematical Foundations II

Pursued a Master of Science in Computer Science, focusing on advanced topics such as Deep Learning, Machine Learning, Big Data, and Web Mining. Gained a strong foundation in mathematical principles relevant to computer science.

IIIT – India

Bachelor of Technology, Electronics and Communication Engineering

Grade: 3.10

Activities and societies: Coursework: Python for Big Data, Embedded Systems, OOP with C++, Computer Networks

Completed a Bachelor of Technology in Electronics and Communication Engineering. Coursework included Python for Big Data, Embedded Systems, OOP with C++, and Computer Networks, providing a solid technical base.