Google AI Essentials

Web Development Fundamentals

Google Prompting Essentials

ReactJS

Google Data Analytics

SAWIT.AI Learnathon

Celonis Foundations

Basics of Python

Cloud Computing Fundamentals

Fundamentals of Cybersecurity (EDU-102)

Database Management System - Science Graduates

Getting Started with Enterprise-grade AI

Introduction to Python

Academic Process Mining Fundamentals

Introduction to MongoDB, AI, and Vector Search - ICT Academy Learnathon

Java Programming Fundamentals

Ethical Hacking Foundation

Twitter Bootstrap

Zero Trust Certified Associate (ZTCA)

Google Cybersecurity Specialization

Class 10th

Class 12th

Bachelor of Technology - BTech

Successfully completed the Cohort-8 Google AI-ML Virtual Internship, where I gained hands-on experience with cutting-edge technologies.  Key highlights include:

TensorFlow: Developed and deployed machine learning models.
Android: Integrated AI capabilities into mobile applications.
ML Kit: Implemented advanced machine learning functionalities.

This experience has significantly enhanced my skills in AI and ML, empowering me to build innovative solutions and contribute effectively to the tech community.

AI-ML Virtual Intern

Gained hands-on experience in developing full-stack web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Key responsibilities included designing responsive front-end interfaces, implementing RESTful APIs, managing databases, and collaborating on projects following Agile methodologies. Strengthened skills in coding, problem-solving, and modern web development practices.

Web Development Intern

• Participated in an immersive program on cloud computing and AI.
• Explored application development, big data, and security.
• Engaged with technologies such as Python, AI, machine learning, and Google Cloud.

Google Cloud Arcade Facilitator Program Contributor

Successfully completed the Cohort-7 virtual internship by AICTE NEAT and Eduskills. Gained hands-on experience in:

        Cybersecurity: Antivirus, Application Control, Authentication
        Threat Protection: IDS, SSL Inspection, Endpoint Security
        Network Security: FortiGate, Firewalls, VPN, Secure SD-WAN
        Application & Cloud Security: Web Application Firewall, ZTNA, Cloud Services
        Comprehensive Solutions: NAC, Sandbox, SASE, SIEM, SOAR, Secure Email Gateway, Secure Wi-Fi, 
        Web Filtering

Equipped with skills to implement and manage robust security solutions for modern network environments.

Network Security Associate Virtual Intern

Key Responsibilities and Achievements:

Conducted in-depth data analysis on various real-world datasets from the agriculture and science & technology domains.
Utilized advanced AI tools such as Powerdrill AI and Julius AI to streamline data analysis processes and derive meaningful insights.
Designed and developed detailed reports with actionable recommendations based on data-driven findings.
Participated in mentor-led technical sessions, focusing on applying AI-LLMs (Large Language Models) to enhance analytics workflows.
Worked on collaborative, project-based learning tasks, including hands-on case studies that addressed real-world problems.
Key Projects:

Agricultural Data Analysis:

Analyzed datasets to identify trends and patterns in crop production and resource utilization.
Used AI assistance to generate insights for optimizing agricultural practices.
Science & Technology Domain Analysis:

Processed datasets to evaluate technological advancements and their societal impact.
Collabor

Data Analytics (AI-LLMs) Intern

During my internship, I successfully completed the Fundamentals of Cybersecurity (EDU-102) course offered by Zscaler Training, focusing on Zero Trust Cloud Security. This experience allowed me to gain hands-on knowledge of cybersecurity principles, particularly in cloud security, network security, and the Zero Trust architecture. I developed critical skills in identifying and mitigating cyber threats, understanding secure access to cloud-based applications, and implementing security policies that align with modern cloud infrastructure needs. This internship significantly enhanced my expertise in cyber defense strategies and cloud security management, which are crucial in today’s evolving threat landscape.

Zero Trust Cloud Security Intern

During my 4-week internship at Edunet Foundation under the IBM SkillsBuild program, I had the opportunity to delve into the world of emerging technologies, with a focus on AI and Cloud Computing. This internship, conducted from July 8, 2024, to August 5, 2024, provided me with hands-on experience in a variety of cutting-edge tools and platforms such as Watson Studio, Watson Machine Learning, Cloud Object Storage, watsonx.ai, and Watson Assistant. I also became proficient in utilizing the resources available on the IBM Cloud.

Throughout the internship, I enhanced my understanding of Data Analysis, Auto AI, and Machine Learning, which allowed me to build robust models and analyze complex datasets effectively. I also explored the fundamentals of Natural Language Processing (NLP), Generative AI (GenAI), and Large Language Models (LLMs), and applied this knowledge in creating and deploying advanced chatbots.

The program included a series of industry expert sessions that deepened my knowle

AI and Cloud Intern

Business Data Analyst

Successfully completed a 4-week AI-focused internship organized by Microsoft, SAP, and AICTE, aimed at building foundational skills in Artificial Intelligence and IT.
Gained hands-on experience in AI technologies and completed a guided project under mentorship from industry experts.
Developed "Imsage", an image classification web application using Streamlit and TensorFlow, integrating two machine learning models: MobileNetV2 (trained on ImageNet) and a custom CIFAR-10 model.
Enabled real-time image predictions with confidence scores.
Implemented intuitive navigation to seamlessly switch between models.
Added CSV download functionality for prediction results, enhancing usability.
Strengthened problem-solving skills by independently developing the project and addressing real-world challenges in AI implementation.

AI Intern

Participated in the Cohort-6 virtual internship by AICTE and Eduskills Foundation. Enhanced my skills in:

         Kotlin: Mastered the syntax and built efficient Android applications.
         Android Studio: Gained proficiency in the industry-standard IDE, integrating AI and state 
         interactions.
         Adaptive Layouts: Developed techniques for creating user-friendly interfaces across various 
         devices.

This internship provided hands-on experience in modern Android development, preparing me to build and optimize cutting-edge mobile applications.

Android Developer Virtual Intern

PYTHON FULL STACK DEVELOPER

Google Cloud Generative AI

•Learned to develop Generative AI apps using Gemini and StreamLit.
•Focused on prompt design in Vertex AI and explored Generative AI concepts.
•Completed Arcade levels 1, 2, and 3, along with Arcade trivia, health, and certification zones.

Gen AI Study Jams Participant

Tech enthusiast skilled in Data Science, ML, AI, Web Dev. Certified in Data Analytics & Zero Trust Security.

github

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Know about Keshab Kumar's work experience, education, bootcamps, certifications, and much more. Keshab Kumar