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Anisha Gartia
Artifiical Intelligence - Georgia Tech '16 - Intel Corporation
Professional Background
Anisha Gartia is a dedicated engineering professional with a robust background and expertise in Deep Learning and Computer Vision. With 4 years of combined academic and industry experience, Anisha has demonstrated remarkable proficiency in tackling complex problems through advanced technological solutions. Currently, she serves as an Artificial Intelligence - Technical Solutions Specialist at Intel Corporation, where she leverages her skills to develop and implement cutting-edge AI applications.
Throughout her career, Anisha has successfully built and deployed numerous machine learning models utilizing platforms such as Python, TensorFlow, Keras, and OpenCV. This hands-on experience allows her to optimize both training and inference processes for deep learning models, ensuring maximum efficiency and performance. Anisha has a proven track record of working in different high-stakes environments, which has honed her technical and analytical skills and enabled her to contribute meaningfully to her teams.
Education and Achievements
Anisha began her illustrious academic journey at the National Public School in Koramangala, where she laid a solid foundation in science subjects, excelling in her AISSE-10th Standard and AISSCE-12th Standard examinations. She then pursued a Bachelor of Engineering in Telecommunications at the esteemed BMS College of Engineering in Bangalore. Following her undergraduate studies, Anisha took a significant step in her career by earning a Master of Science in Electrical and Computer Engineering from the prestigious Georgia Institute of Technology. Here, she engaged in relevant research projects that solidified her expertise in deep learning applications and computer vision technologies.
During her time at Georgia Tech, Anisha was not only a student but also a Graduate Student Researcher. This role allowed her to delve deeper into academic inquiries and push the boundaries of her knowledge in AI technologies. Her research capabilities are evident in her impressive portfolio of projects that include face detection and verification systems, scene recognition models, and various implementations of linear and multiclass classifiers.
Notable Projects and Contributions
Anisha's commitment to innovation is exemplified by her contributions to several notable projects utilizing state-of-the-art Computer Vision and Deep Learning algorithms. Below are a few highlights:
- Optimization of Training and Inference: Anisha excels in optimizing deep learning models for better performance metrics, which ensures that applications run efficiently and effectively in real-time environments.
- Face Detection and Verification: She has developed robust face detection and verification systems to improve the accuracy of security protocols across numerous applications.
- Scene Recognition: Anisha has created scene recognition models that can analyze visual data accurately, making them invaluable in various industries, including automotive and commercial sectors.
- Transfer Learning Projects: She has conducted research and practical implementations around transfer learning, which enhances the ability of AI models to learn from lesser amounts of data, promoting faster model training and refinement.
Through her expertise in end-to-end system design, Anisha plays a vital role in proof of concept, system architecture, unit testing, and test automation. Her technical acumen is essential for delivering high-quality AI solutions in dynamic team environments.
Industry Experience
Anisha’s industry experience has shaped her into a versatile technology expert. Prior to her current role at Intel, she gained valuable insights working with renowned companies, including Panasonic Automotive as a Computer Vision Intern, where she contributed to the development of innovative automotive systems. As an Application Engineering Intern at Silicon Labs, Anisha expanded her capabilities further and cultivated strong technical and interpersonal skills.
Before her industry tenure, Anisha accumulated a wealth of knowledge as an Assistant Systems Engineer at Tata Consultancy Services and as a Project Intern at ZTE Corporation. She also held a prestigious Research Fellow position at the Indian Institute of Technology, Bombay, further refining her engineering skills in a collaborative research environment. Anisha's early career experience included an internship at POWERGRID, where she developed a strong understanding of operational engineering practices.
Community Engagement and Leadership
Anisha is not only a technical expert; she is also an active participant in community engagement and leadership initiatives within the technology sector. She is heavily involved in event management, where she brings her organizational skills and passion for technology to the forefront, aiming to foster knowledge sharing and collaboration among emerging engineers and tech enthusiasts. Her commitment to continuous learning and professional development positions her as a role model for aspiring engineers in the field of artificial intelligence.
Connect with Anisha
Anisha Gartia is eager to connect with like-minded individuals, teams, and organizations interested in the application of artificial intelligence and innovative engineering solutions. She can be reached via email at [email protected]. Additionally, you can explore her inspiring projects and technical work on her GitHub profile at Anisha Gartia's GitHub. Here, she shares her contributions to various projects, evidence of her technical skills and creative problem-solving capabilities, which are key to the advancement of AI and machine learning technologies.
