Aman Nindra

Aman Nindra

About

I am a Computer Science and Engineering major at UC Merced, specializing in full-stack development and machine learning. As a Project Manager for the Machine Learning Club and Social Media Manager at Hotpot.ai, I bring both technical expertise and leadership experience. I'm passionate about building AI-powered applications that solve real-world problems, from containerized web apps with GPT-4 integration to real-time computer vision systems. My work spans across modern web technologies like React and TypeScript, backend systems with Python and Flask, and machine learning frameworks including PyTorch and OpenCV. I thrive on creating innovative solutions that bridge the gap between cutting-edge AI research and practical, user-friendly applications.

Technical Skills

Programming Languages

PythonJavaScriptHTML/CSSTypeScript

Frameworks & Libraries

ReactReact NativeNode.jsFlaskFirebaseTailwind CSSPyTorchOpenCVJupyter Notebook

Tools & Technologies

GitGitHubGoogle CloudDocker

Certifications

Facial Classification with PyTorchCertified Entry-Level JavaScript ProgrammerIntroduction to Computer Vision and Image Processing

Leadership & Roles

Project Manager for Machine Learning Club

Professional Experience

Social Media Manager • Online

Hotpot.ai
June 2023 – Present

Managed and curated content on Twitter and Reddit to boost user engagement. Conducted analysis on trending stocks to optimize social media strategy and increase viewer engagement. Experimented with various posting formats and times, identifying patterns that increased views significantly. Collaborated with a team to strategically integrate quotes and financial analysis, enhancing content quality.

Social Media MarketingContent CreationData AnalysisEngagement OptimizationTeam Collaboration

Projects

Real-time Image Classifier

Fine-tuned a ResNet-18 on the Kaggle Cats vs Dogs dataset, reaching 98.6% validation accuracy after a single epoch using Cyclic Learning Rate scheduling and data augmentation. Built a real-time webcam demo with OpenCV that overlays live predictions at 30 FPS. Packaged in reproducible Jupyter notebooks.

PythonPyTorchCNNTorchVisionOpenCVCUDAJupyter

AI-Resume

Built a containerized full-stack web app that reviews résumés with GPT-4 and returns concise, structured feedback plus matching job listings. Features a RESTful Flask backend that converts PDFs to text, queries OpenAI for analysis, and exposes secured endpoints. Automated job-listing refresh via APScheduler with Apify crawler integration.

PythonFlaskReactTypeScriptTailwind CSSFirebaseDocker

ASL Voice Assistant

Built an interactive web demo that recognizes American Sign Language (A–Z) and carries on a real-time, voice-enabled conversation whose tone adapts to the user's detected emotions. Trained a Convolutional Neural Network (CNN) in PyTorch, exported to ONNX, achieving >90 FPS on desktop. Integrated Hume AI for emotion detection and Vapi for full-duplex voice communication.

CNNNext.jsTailwind CSSPyTorchONNXHume AIVapi

EdTok Learning Platform

Created the frontend of EdTok, a platform designed to transform student learning through short-form content and quizzes. EdTok allows teachers to upload educational videos organized by classes, subjects, and chapters, followed by quizzes to test student understanding.

HTMLCSSJavaScriptReact

AI Chatbot

Building a free website where users can interact with multiple LLMs, including GPT-4, Claude 3.0, Meta AI, and Gemini. User data is securely stored via Firebase. The platform is funded through Google Ads.

ReactFirebaseLLM ModelsNode.js

Resume

Get In Touch

I'm always interested in new opportunities and collaborations. Feel free to reach out if you'd like to work together!

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