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Aman Kumar Tiwari

AI-Powered IDE Innovator

Madhya Pradesh
Joined 24 May 2025
13 Followers
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Summary

My journey into programming began in 2010 when I was first introduced to PHP through WordPress. Without any formal education or certification in progr... Read More

Skills

ai
startups
Research

Experiences

4 years 5 months
  1. UNKNOWN
    UNKNOWN
    Jul 2021 - Current
    Real-time Simulator and Prediction
    Step into the future of competitive simulation with fantecy team generator: The Parallel Contest Simulator and synthesizer — an immersive virtual environment where your strategies, predictions, and instincts collide with real-time scenarios. Designed for innovators, gamers, and data enthusiasts, this unique simulator brings an edge of unpredictability with precision forecasting tools. Features: - Colidr Contest Arena: Experience a dynamic battlefield where AI-generated scenarios challenge your decision-making across multiple domains like esports. - Virtual Simulator: Train your mind and models using our advanced simulation engine powered by behavioral data and quantum-inspired randomness. - 5-Tier Dream Engine: Based on five key variables — Risk, Reward, Reality, Reaction, and Randomness — this system fuels unpredictable yet realistic outcomes, making every prediction a new challenge. - Predictor AI: Test your forecasting power with intelligent prediction models. Whether you're a pro analyst or a casual player, the system adapts and scores your prediction accuracy in real time. - Leaderboard & Legacy Mode: Compete globally in Collider Contests or build your legacy in career mode where your decisions impact long-term virtual outcomes. Perfect for creators, visionaries, and futurists, Dreamsteam transforms data into drama, predictions into play, and ideas into interactive storytelling.
  2. UNKNOWN
    UNKNOWN
    Feb 2021 - Current
    AI-Powered IDE (ComingSoon)
    As an AI engineer working on advanced automation systems, I’ve realized the most effective way to help AI deeply understand user needs is through a structured folder-based documentation system. This means providing a centralized folder that includes everything—images, links, portfolios, PDFs, CSVs, and even UI/UX references. Once this data is organized, AI can perform deep analysis and start building exactly what the user requested—whether it's a website, app, or full-stack solution—with minimal follow-up input. I’m also building a 100% automatic coding platform—an AI-powered organizational ecosystem where users can simply upload this documentation and let AI agents handle everything. These AI agents act like virtual employees—software engineers, designers, project leads, and even chief engineers—who can collaborate, chat with each other, and communicate with the user in real-time to improve, fix, and scale systems intelligently. The platform supports unlimited AI agents and templates, customizable per project or design style. It eliminates the need for repeated prompts or inputs—everything is automated once the folder is in place. It’s built as an AI aggregator since I currently don’t have the funding to train a custom LLM, but the system is still highly scalable and adaptable using existing models. This approach is designed for true automation at scale, creating an organizational-level AI workforce where every function is intelligently distributed, and no detail is missed. I’ll be sharing the live link soon—this could redefine how we build with AI.

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