Previously worked at: Fortune 500, IT Service Companies, Startups
Assessment Score: 75
Educational Background with a Focus on AI and Computer Science
Holds a Master’s degree in Computer Science and Engineering from IIT Jodhpur, complemented by a B.Tech in Computer Science and Engineering with a strong academic record. Demonstrates a robust foundation in AI, machine learning, and computer vision concepts.
2+ Years of Professional Experience in Machine Learning and Computer Vision
Diverse experience in developing AI-driven solutions, including real-time computer vision applications, document intelligence models, and machine learning pipelines. Adept at working on advanced frameworks and edge device integrations.
Technical Proficiency in Programming, Frameworks, and Tools
Skilled in Python, TensorFlow, PyTorch, OpenCV, and Docker, with hands-on experience in edge computing devices like NVIDIA Jetson. Proficient in building and deploying models for tasks such as object detection, image segmentation, and document field extraction.
Project Experience in Cutting-Edge AI Applications
Led initiatives such as a smart media adaptation system using CCTV analysis and traffic monitoring solutions with YOLO-v8 models, achieving 95% vehicle detection accuracy. Delivered impactful outcomes in document intelligence by fine-tuning models for precise data extraction.
Industry Experience with Leading Organizations
Contributed to AI and machine learning projects at HCL Technologies, Signpost India, and TCS, focusing on real-time analytics, exploratory data analysis, and robust model development. Internship experience includes building OCR and computer vision solutions for travel systems.
Recognition and Certifications in AI and Problem Solving
Achieved top 5 percentile in NPTEL Database Management Systems and ranked globally in Google Hash Code. Certified in advanced deep learning topics, including PyTorch applications in image segmentation and Siamese networks