Full Stack Engineer with 1+ years in AI-integrated web applications
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Assessing your cultural and operational fit
Innovative Full Stack Developer with a strong foundation in Python, JavaScript, Flask, and modern web technologies. Experienced in building scalable, Al-integrated web applications and browser extensions. Adept at working across the stack to deliver impactful, production-ready software solutions. Passionate about bridging Al with full stack development to create intelligent and interactive user experiences.
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Master of Computer Applications
November 1, 2022 – June 1, 2024
ARNISH AI PRIVATE LIMITED
Full Stack Developer
December 1, 2024 – Present
Shirpur, Maharashtra, India
AI-Powered Symptom & Medicine Checker App
April 1, 2025 – June 30, 2026
Built an AI-driven health assistant using Streamlit, predicting diseases from symptoms with a decision tree model. Suggested relevant medicines and visualized confidence scores for top 3 disease predictions. Integrated MiniCPM-V (Ollama) for offline chatbot responses and downloadable patient reports. Delivered a clean, responsive UI with dark mode support for improved user experience.
Advanced CIFAR-10 Image Classifier Web App
March 1, 2025 – March 1, 2025
Developed a deep learning image classifier on CIFAR-10 using TensorFlow and Streamlit. Enabled real-time image uploads, predictions, and Grad-CAM visualizations to explain model attention. Integrated live training metrics, performance analysis, and CNN educational content. Optimized for GPU acceleration and featured an interactive tab-based learning interface.
Automated PDF to Excel Converter
February 1, 2025 – February 1, 2025
Developed a document OCR system to convert PDFs into structured Excel spreadsheets using Optical Character Recognition (OCR). Used Python, OpenCV, and Tesseract to extract and format data, improving data accessibility and workflow automation. Enhanced data accuracy and efficiency by 40%, reducing the need for manual data entry.
Image OCR Chrome Extension
December 1, 2024 – February 1, 2025
Developed a Chrome extension using Llama 3.3 for AI-powered text extraction from images. Enables users to instantly extract text and get context-aware AI insights about the image content. Designed an interactive and smart workflow to enhance productivity and document processing. Built using OCR technology, deep learning, and NLP, ensuring high accuracy and efficiency.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI-driven solutions and their integration into practical web applications, which aligns with an innovative and forward-thinking culture. The diversity of projects (health assistant, image classifier, PDF converter, Chrome extension) indicates a broad curiosity and willingness to tackle different challenges. The current role as a Full Stack Developer at an AI company further reinforces alignment with a tech-driven, solution-oriented environment. However, the limited professional experience (current role started 12/2024) means the depth of cultural fit in a long-term corporate setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's resume highlights 'Team Collaboration,' 'Fast Learner,' and 'Agile Workflow' as soft skills. The project descriptions suggest an ability to work on diverse tasks and integrate various technologies, which points to adaptability and a problem-solving mindset. The experience in leading cross-functional collaborations further supports operational fit within a team environment.