pied piper

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Pranav Mishra Team Lead RSVP Approved

AI/ML Intern at WheelPrice

Implementation & Technical Architecture Pranav co-led the initial ideation process and focused on technical implementation: Project Ideation: Collaborated with Kranti to conceptualize the AI-orchestrated cybersecurity training platform, identifying the gap between expensive traditional training and practical skill development needs Gemini CLI Integration: Developed the dual entry-point architecture (start_game.md and solve_challenge.md) that orchestrates AI agent coordination through Gemini CLI's natural language interface Multi-Agent System Design: Implemented the organizer-to-specialist agent workflow where the main organizer coordinates 5 specialized challenge-creation agents (log, data, image, code, network) using Gemini's Model Context Protocol (MCP) capabilities Local Processing Pipeline: Built the file generation and verification systems ensuring all challenge creation and solving happens locally using standard CLI tools (grep, awk, sed, jq, exiftool) Challenge Architecture: Designed the 5-step investigation structure and implemented the verification scripts that validate AI-generated solutions Agent Template Development: Created the specialized agent markdown templates that guide Gemini CLI's behavior for different forensics domains

Computer Science graduate from University of Illinois at Chicago with a deep passion for AI and immersive technology. I'm driven by the potential to integrate next-generation artificial intelligence into game development, creating truly revolutionary interactive experiences.

Agentic AI systems with multi-modal capabilities - combining vision, voice, and reasoning for autonomous decision-making. Advanced computer vision for real-time applications, particularly medical imaging and industrial automation. Game AI focusing on intelligent NPCs with persistent memory and emergent behaviors. Machine learning at the intersection of healthcare and interactive media - building AI that adapts to user behavior in real-time. Reinforcement learning

SnakeAI-MLOps: Complete MLOps pipeline with 4 RL algorithms. Docker containerization, GitHub Actions CI/CD, automated deployment with monitoring. TeamMedAgents: Multi-agent architecture with 6 modular teamwork components, improvements across 7/8 medical benchmarks. AAAI 2025 submission. Stellarium: VR/AR astronomy application for immersive space exploration using Unity/Unreal Engine. Auto-Prompting PaintSeg: Advanced image segmentation with automated prompt generation.

Kranti Praksah Yeole RSVP Approved

Data Scientist at Health Innovators

Kranti co-led the ideation phase and focused on research foundation and system reliability: Project Ideation: Collaborated with Pranav to develop the core concept of gamified digital forensics training, identifying the 30 challenge subtypes and professional skill mapping framework Cybersecurity Domain Research: Investigated real-world SOC analyst workflows, digital forensics techniques, and enterprise security training methodologies to ensure challenge authenticity AI Agent Coordination Research: Studied multi-agent orchestration patterns and prompt engineering techniques specific to Gemini CLI's capabilities and limitations Debugging & Testing: Developed comprehensive testing workflows to validate agent interactions, challenge generation consistency, and solution verification accuracy Tool Integration Research: Evaluated compatibility and optimal usage patterns for CLI tools (sqlite3, python3, exiftool) within the Gemini CLI ecosystem Educational Methodology: Researched gamification principles and professional skill mapping to ensure challenges translate directly to workplace cybersecurity capabilities

Hi, I'm Kranti Yeole, a recent graduate with an MS in Business Analytics at the University of Illinois Chicago, with a perfect 4.0 GPA. I bring a strong foundation in data science and data analytics, honed through diverse experiences at Swiggy and PocketFM startups based in India. I graduated from Indian Institute of Technology (IIT) Kanpur with a Bachelor of Technology degree.

I'm focused on advancing AI-driven analytics and machine learning applications in business contexts, particularly in product analytics and fintech environments. I'm also interested in connecting with professionals working on modern data stack technologies and teams that are pushing the boundaries of data-driven decision making.