PANKAJ BISHT
@pankajbisht1
I build scalable cloud-native deployments with Docker, Kubernetes, AWS, and MLOps workflows.
IndiaWhat I'm looking for
I'm currently building and managing containerized applications and scalable cloud-native infrastructure as a freelance DevOps Engineer at PST IT SOLUTIONS.
During my DevOps and Cloud Engineering internship at PaperLive Learning, I packaged Python and ML applications with Docker, deployed containerized workloads on Kubernetes, and worked with CI/CD, Git, GitHub, cloud registries, and production-like container health monitoring. I also applied these skills to ML model deployment workflows using Docker and Kubernetes.
My Data Science and MLOps mentorship program at CampusX strengthened my work across machine learning, DVC, MLflow, GitHub Actions, FastAPI, AWS EC2, S3, ECR, Kubernetes, and Seldon Core. I built projects including a real estate price prediction pipeline deployed on AWS, an emotion detection MLOps pipeline, an email spam classifier, and an e-commerce data versioning pipeline.
Before moving into DevOps, I led multi-stage project delivery and infrastructure dependency coordination in civil engineering, and taught technical and quantitative concepts at Economica Hub. That background gives me a structured, solution-driven approach to reliable infrastructure and cross-functional collaboration.
Experience
Work history, roles, and key accomplishments
Working as a freelance DevOps Engineer, focusing on building and managing containerized applications and orchestrating scalable cloud-native infrastructure.
Completed a 6-month hands-on DevOps and Cloud Engineering internship at PaperLive, focused on containerisation, container orchestration, and cloud-native infrastructure — directly aligned with modern MLOps and data engineering deployment workflows.
🔹 Docker & Containerisation
· Built and managed Docker images, containers, and multi-container applications
· Wrote Dockerfiles for packaging Python/M
I played a pivotal role in educating students on technical and quantitative concepts, enhancing their analytical skills.
• Designed and implemented lesson plans that made complex topics accessible and engaging.
• Cultivated effective communication skills through the development of clear technical documentation.
• Collaborated with diverse teams to ensure a cohesive learning experience at Ec
• Led end-to-end project delivery cycles for multi-stage, interdependent project pipelines, enhancing workflow efficiency.
• Coordinated infrastructure dependency management, ensuring seamless integration across projects.
• Developed skills in project management and DevOps , MLOps workflows while working at Amaranttoss Infratech Private Limited, a dynamic startup in New Delhi.
NBCC LTD INDIA.
Trainee role at CPWD New Delhi, gaining experience in site management and project planning.
Education
Degrees, certifications, and relevant coursework
Maharshi Dayanand University(MDU)
Bachelor of Technology, Civil Engineering
Data Science & MLOps Mentorship Program - DSMP CAMPUSX
Data Science, Machine Learning & MLOps
2025 - 2025
**CampusX DSMP 2.0 — ML, Statistics & MLOps**
Stats: probability distributions, CLT, hypothesis testing (z/t-test, chi-square, ANOVA), confidence intervals.
ML: Regression (Linear/Ridge/Lasso), Logistic Regression, KNN, Naive Bayes, SVM, Decision Trees, ensembles (RF, XGBoost, LightGBM, CatBoost), clustering (K-Means, DBSCAN, GMM), PCA/SVD/t-SNE, feature engineering & selection.
MLOps :
Maharshi Dayanand University (MDU), Rohtak
B .TECH , Civil Engineering
2012 - 2016
Maharshi Dayanand University
Bachelor of Technology, Civil Engineering
2012 - 2016
Pursued a Bachelor of Technology in Civil Engineering from Maharshi Dayanand University, Rohtak, from 2012 to 2016.
Maharshi Dayanand University
Bachelor of Technology, Civil Engineering
Completed a Bachelor of Technology in Civil Engineering from Maharshi Dayanand University.
CampusX
Data Science, Machine Learning & MLOps
2025 - 2025
Completed the Data Science & MLOps Mentorship Program (DSMP) covering statistics, machine learning, and MLOps practices.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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