Achievements

Completed the course Model Context Protocol: Advanced Topics, covering production-level MCP server patterns and communication mechanisms.

Course takeaways:

• Implementing sampling so MCP servers can request AI model calls through clients
• Building real-time progress and logging notification systems for long-running operations
• Roots-based file access control for secure directory permission management
• Stdio vs. StreamableHTTP transport mechanisms and when to use each
• Production scaling strategies - stateless HTTP for horizontal scaling with load balancers

Completed the course Introduction to Model Context Protocol, focused on building MCP servers and clients from scratch using the Python SDK.

Course takeaways:

• MCP architecture and its three core primitives: Tools, Resources, and Prompts
• Building MCP servers using Python decorators instead of manual JSON schemas
• Implementing MCP clients and handling resource access with MIME type awareness
• Using the MCP Server Inspector for browser-based testing and debugging
• Understanding when to use each primitive: tools (model-controlled), resources (app-controlled), prompts (user-controlled)

Completed the course Claude Code in Action, providing comprehensive training on integrating Claude Code into real-world development workflows.

Course takeaways:

• Understanding AI coding assistant architecture and tool-use systems
• Managing context effectively across complex, multi-step coding tasks
• Creating custom commands and automations for repetitive development tasks
• Extending Claude Code with MCP servers for browser automation and specialized workflows
• Setting up GitHub integration for automated code review and version control workflows
• Implementing hooks and using the Claude Code SDK for advanced customization

Completed the course Claude 101, covering everyday use of Claude for work tasks and core feature exploration.

Course takeaways:

• Getting started with Claude and having effective first conversations
• Organizing work using Projects and Artifacts
• Connecting external tools and using Enterprise Search
• Exploring Claude’s desktop app across Chat, Cowork, and Code modes
• Using Research mode for in-depth topic exploration

Completed the course AI Fluency: Framework & Foundations by Anthropic, developed in partnership with Prof. Joseph Feller (University College Cork) and Prof. Rick Dakan (Ringling College).

Course takeaways:

• Understanding the 4D AI Fluency Framework: Delegation, Description, Discernment, and Diligence
• Fundamentals of Generative AI - capabilities and limitations
• Effective prompting techniques for better AI interactions
• Responsible and ethical collaboration with AI systems

Achieved notable rankings in CTFTime for the 2025 season.

Rankings:

• Overall rating: #363 globally with 165.775 points
• Country ranking: #17 in India
• Demonstrated consistent performance across multiple CTF competitions
• Showcased skills in cybersecurity challenges, reverse engineering, and exploitation

Received the Merit Scholarship for outstanding academic performance in the 2024–25 academic year.

Highlights:

• Maintained a CGPA of 9.59/10
• Demonstrated consistent dedication, hard work, and academic excellence
• Ranked among top-performing students in the department

Earned the Yellow Belt in cybersecurity by completing reverse engineering and binary exploitation challenges.

Alias: TaklaMan

Skills demonstrated:

• x86 Assembly and binary analysis
• Use of Ghidra, GDB, and Wireshark
• Security vulnerability analysis and exploitation
• Automation with Python and Bash scripting
• CTF-style problem-solving under real-world scenarios

Awarded the Certificate of Achievement for presenting the best IoT project at Engineering Day.

Recognized for:

• Innovative technical solution to diverse real-world challenges
• Strong practical demonstration of IoT application
• Impactful presentation and real-time implementation

Completed the course Using Python to Interact with the Operating System.

Course takeaways:

• File system automation
• Process and resource management using Python
• Writing efficient scripts for OS-level operations
• Real-world use cases of automation and task scheduling

Successfully completed Crash Course on Python, gaining solid foundational knowledge in:

• Python programming basics
• Data types, structures, and control flow
• Functions and modular scripting
• Problem-solving with real-world coding exercises

Received the Merit Scholarship for outstanding academic performance in the 2023–24 academic year.

Highlights:

• Maintained a CGPA of 9.58/10
• Demonstrated consistent dedication, hard work, and academic excellence
• Ranked among top-performing students in the department