Stuti Tiwari
@stutitiwari
Computer Science student skilled in cloud, cybersecurity, DevOps and ML.
What I'm looking for
I am a proactive Computer Science student specializing in cloud computing, cybersecurity, DevOps, and machine learning, with hands-on experience designing AWS architectures, building ML models in Python, and performing penetration testing using Nmap and Burp Suite. I have delivered internships where I implemented Terraform-managed VPCs, automated CI/CD with Docker and Jenkins, and developed Random Forest models to detect network anomalies.
I bring leadership from student initiatives—content head roles, placement coordination, and NCC experience—paired with practical project work like a cloud threat detection system, an ML-driven attendance solution, and a Python honeypot for attack analysis. I seek opportunities to apply secure, scalable cloud solutions and data-driven security tooling in production environments.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
Labmentix
Dec 2024 - Present (1 year 6 months)
Developed ML models using Python and scikit-learn for data analysis and implemented automated cloud pipelines to streamline model training and deployment.
AWS Intern
Intern Studio
Jun 2024 - Jul 2024 (1 month)
Designed secure AWS architectures using VPC, IAM, Terraform and implemented monitoring with CloudWatch and managed RDS deployments for production-ready environments.
Cyber Security Intern
Takeoff Educational Group
Feb 2024 - Mar 2024 (1 month)
Conducted penetration testing and network security audits using Nmap, Burp Suite and SIEM tools, and applied Linux-based frameworks to identify and remediate vulnerabilities.
Education
Degrees, certifications, and relevant coursework
Ajeenkya DY Patil School Of Engineering (SPPU)
Bachelor of Engineering, Computer Science
2021 -
Grade: 8.3 CGPA
Activities and societies: College projects in cloud threat detection and ML-driven systems; placement coordinator for 2025 batch; content head roles in clubs
Pursuing a Bachelor of Engineering in Computer Science with coursework and projects focused on cloud computing, cybersecurity, DevOps, and machine learning; achieved 8.3 CGPA.
Kendriya Vidyalaya
Higher Secondary Certificate
2020 - 2021
Grade: 81 %
Completed Higher Secondary Certificate with focus on academic preparation for engineering entrance, scoring 81%.
Kendriya Vidyalaya
Secondary School Certificate
2017 - 2018
Grade: 80 %
Completed Secondary School Certificate, achieving 80% marks.
Availability
Location
Authorized to work in
Job categories
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