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Prarit AroraPA
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Prarit Arora

@praritarora

AI-ML student & aspiring ML engineer focused on deep learning, SQL, and backend systems. Passionate about building scalable, data-driven applications

India
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I am an Artificial Intelligence and Machine Learning engineering student .With an active focus on building software that bridges raw data science with dependable backend architecture. While many approach AI purely from theoretical notebooks, my passion lies in engineering end-to-end systems that actually run reliably in production.

Currently, as a Software and Backend Intern at Dynamic Amusement, I build the core server-side services powering commercial arcade operations. My daily work spans designing high-throughput FastAPI REST architectures, handling automated machine transactions, managing databases, and integrating real-time RFID identification systems. I enjoy the challenge of solving operational bottlenecks—whether that means implementing clean validation and structured error logging or exploring self-hosted infrastructure with Tailscale and reverse proxies to gain deeper control over deployments.

Beyond production backends, I am drawn to solving complex, multidisciplinary problems using machine learning. I have engineered predictive models for chemical compound lattice formations using feature-engineered elemental properties, built conversational NLP assistants focused on sustainability and water reduction, and integrated IoT hardware with computer vision and classification logic for smart waste sorting. These projects have taught me how to turn messy, real-world data into clean, actionable decisions—efforts that earned our team top-30 finishes in the Smart Delhi Ideathon and competitive hackathon placements.

Outside of code and system architecture, I am an avid chess player. Chess has consistently shaped my approach to software engineering: it reinforces disciplined pattern recognition, deep-search planning, and the patience to evaluate multiple moves ahead before committing to a system design.

I am seeking roles in Machine Learning Engineering, Backend Engineering, or AI Systems where I can bring strong foundational problem-solving, high technical agility, and a drive to ship production-ready, impactful software.

Experience

Work history, roles, and key accomplishments

Education

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UR

University School Of Automation And Robotics

Bachelor of Technology, Artificial Intelligence and Machine Learning

2023 -

Grade: 8.92

Pursuing a Bachelor of Technology in Artificial Intelligence and Machine Learning with a CGPA of 8.92.

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