Ayush O.
Junior Artificial Intelligence Machine Learning Engineer
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Ayush O., currently pursuing a B.Tech in Artificial Intelligence from Amity University, Lucknow, India, has built a strong foundation in AI through academic and hands-on experiences. His technical expertise includes Python, SQL, and leveraging machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. During his tenure as an AI and ML Intern at RMSO Services Private Limited, Ayush successfully designed and implemented an OCR and NLP pipeline, processing over 10,000 handwritten manuscript pages with a remarkable 85% accuracy using custom algorithms. He further honed his skills in entity recognition and database search optimization, achieving significant improvements in system efficiency. His previous virtual internship experience with a collaboration involving Microsoft and other industry giants focused on enhancing model architectures and improving real-time inference accuracy. Ayush also explored digital marketing, using data-driven insights to optimize campaign performance. His contributions to AI/ML research projects, aimed at solving complex NLP and computer vision data challenges, highlight his commitment to advancing in the field of artificial intelligence.
Experience
AI and ML Intern
RMSO Services Private Limited · 2025 — 2026Designed and implemented an end-to-end OCR and NLP research pipeline in Python, processing over 10,000 handwritten manuscript pages. Developed an efficient entity recognition and relation extraction system, optimizing unstructured text parsing for improved extraction accuracy. Created a searchable database system with optimized indexing and retrieval algorithms to enhance query response time. Conducted systematic hyperparameter tuning and experimentation to optimize model performance for production deployment.AI Intern
Microsoft, SAP, AICTE & Edunet (Virtual) · 2024 — 2025Collaborated with industry experts on the research-driven development of models, integrating new architectures into automated preprocessing and deployment workflows. Improved the accuracy of a Human Pose Estimation model by implementing advanced CNN architectures and systematic data augmentation. Conducted model evaluation through precision, recall, and F1-score, documenting findings and facilitating iterative improvements based on performance analysis.Digital Marketing Intern
A2Z Journals, Global Education & Research Institute (Virtual) · 2023 — 2023Designed data-driven, segmentation-based campaign experiments, achieving increases in open rates and click-through rates while decreasing unsubscribe rates through structured behavioral analysis.
Skills & Expertise
Education
- B.Tech in Artificial IntelligenceAmity University Lucknow · 2022 — 2026