Professional Overview
Aryan Acharya is an AI Engineer based in Ahmedabad, India, specializing in machine learning, computer vision, and natural language processing. He holds a B.Tech in Computer Engineering from Silver Oak University (2021-2024), where he completed courses in AI, ML, cloud computing, and data structures.During his academic tenure, Aryan developed several notable projects:AI Code Refactoring Tool: An NLP and TensorFlow-based application designed to analyze and refactor codebases, streamlining manual code reviews.Safety Detection System: A real-time object detection system utilizing YOLOv5 to monitor restricted areas, enhancing workplace safety.Image Caption Generator: A CNN-RNN deep learning model that generates descriptive captions for images, demonstrating expertise in multimodal AI.AI Story Generator: An NLP-driven tool employing GPT models to create creative narratives, showcasing proficiency in text generation.Aryan's technical skill set includes programming languages such as Python, JavaScript, Java, and C++, along with AI and ML frameworks like TensorFlow, PyTorch, Keras, OpenCV, and Scikit-learn. He is also experienced in cloud platforms (AWS, GCP), containerization tools (Docker, Kubernetes), backend development (Flask, Django, Node.js), and data visualization libraries (Matplotlib, Seaborn, Pandas, Numpy).His professional experience includes an AI Internship at Innoventa Pvt. Ltd (Jan 2024 – Apr 2024), where he developed a safety detection system using YOLOv5 and deployed scalable AI systems on AWS and GCP. Additionally, as an ML Intern at OpenXcell (Aug 2023 – Sep 2023), Aryan built predictive models to improve forecast accuracy and created data dashboards with Matplotlib and Seaborn.Aryan holds certifications as a Google Solutions Architect - Associate, TensorFlow Developer, and has completed the Deep Learning Specialization on Coursera. He is proficient in English, Hindi, and Gujarati.For more information, visit his GitHub and LinkedIn profiles.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
