Transforming AI & Data into
Scalable Solutions
Data Science professional with hands-on expertise in Machine Learning, Generative AI, and Cloud DevOps. Skilled at building intelligent systems, deploying data-driven applications at scale, and driving real-world impact through innovation.
Featured Projects
Explore my data science projects showcasing machine learning, deep learning, and data engineering solutions across various domains.
Technical Skills
Comprehensive expertise across the data science pipeline, from data collection and processing to machine learning and visualization.
Advanced proficiency with data science, ML, and automation libraries
Strong foundation in statistical modeling and visualization
Expertise in complex queries, optimization, and database management
Automating workflows and system administration tasks
Professional Experience
Hands-on experience in machine learning, data analysis, and research across leading tech companies and academic institutions.
Contributed to cloud infrastructure automation, CI/CD pipeline optimization, and site reliability engineering initiatives. Gained hands-on experience in AWS, container orchestration, and observability tools while implementing security best practices across cloud environments.
Key Achievements
- Implemented CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment time by 40%
- Deployed and managed containerized applications with Docker and Kubernetes on AWS
- Automated infrastructure provisioning with Terraform, ensuring consistency and reducing manual effort
- Established monitoring and alerting with Prometheus, Grafana, and ELK Stack for proactive incident response
- Enhanced cloud security by managing IAM roles, enforcing least privilege, and integrating vulnerability scans
- Contributed to SRE practices by improving system reliability and reducing mean time to recovery (MTTR)
Technologies Used
Led DevOps and release management initiatives for large-scale enterprise projects, focusing on cloud infrastructure automation, CI/CD pipeline development, and secure deployments. Worked across AWS and Azure environments, integrated CMS platforms, and contributed to testing automation and emerging GenAI solutions.
Key Achievements
- Designed and automated CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions, reducing release cycles by 45%
- Managed large-scale deployments across AWS and Azure cloud environments with high availability and scalability
- Integrated Pantheon CMS with PHP backend for enterprise-grade content management workflows
- Automated testing using Selenium to ensure reliability and faster feedback in release cycles
- Collaborated with cross-functional teams to establish best practices in release management and incident response
- Experimented with Generative AI tools to prototype intelligent automation workflows for DevOps pipelines
Technologies Used
Assisted faculty in delivering the Database Management Systems (DBMS) course, supporting both instruction and student learning. Responsibilities included grading assignments, holding office hours, and guiding students on SQL, schema design, and query optimization.
Key Achievements
- Graded and provided feedback on 100+ student assignments and projects
- Conducted office hours and 1-on-1 mentoring sessions to support student success
- Helped improve student project outcomes by guiding best practices in schema design and query optimization
Technologies Used
About Me
Passionate about advancing AI and data science while leveraging expertise in cybersecurity, SRE, and DevOps to build secure, scalable, and intelligent systems with real-world impact.
Hi, I'm Sarthak Pokhrel
I'm currently pursuing my M.S. in Data Science at Fordham University, building on a B.Tech in Computer Science (AI) from India. I have professional experience as a Cloud and DevOps Engineer at Hitachi and a strong passion for AI, machine learning, and data-driven solutions. My journey combines engineering expertise with analytical skills to create predictive models and deploy scalable, impactful solutions.
When I'm not analyzing datasets or building predictive models, you'll find me developing AI agents, deploying scalable solutions in the cloud, and optimizing workflows through DevOps practices. I also contribute to open-source AI projects and stay up-to-date with the latest research in artificial intelligence and machine learning.
Recent Achievements and Cerifications
Let's Connect
I'm always excited to explore opportunities in AI and data science, collaborate on innovative projects, or discuss the latest trends in cybersecurity, SRE, and DevOps.
Get in Touch
Whether you're a recruiter looking for fresh talent, a fellow data scientist interested in collaboration, or someone curious about my work, I'd love to hear from you!