Ajeya Krishna

Ajeya Krishna has worked in various engineering and research roles since 2019. In 2019, they were a Research Intern at JNCASR, where they worked on a Statistical Mechanics problem using computer simulation with Python and Jupyter Notebook. Ajeya wrote a Scientific Model to efficiently predict the phase separation mechanism of a mixture when quenched to a low temperature. In 2020, they were a Data Science Intern at Datalogy, where they assisted the firm with Customer Targeting and Marketing using the insights extracted from the data. Ajeya also performed an in-depth exploratory data analysis in Python using the NumPy, Pandas and Seaborn packages to discover the major characteristics impacting the product. Ajeya also deployed several ML models like Linear regression, CART to predict the sustainability of the product. Ajeya was also a Core Team Member at Technex, IIT (BHU) Varanasi, where they contacted with Companies and successfully conducted 13 Workshops for 3 days. Ajeya also lead a team of 30 students to achieve 2000+ foot count in workshops. In 2021, they were a Deep Learning Internship at Indian Institute of Technology (Banaras Hindu University), Varanasi, where they employed Transfer Learning technique to extract features of the X-Ray and CT scans from pre-trained networks like ResNet50, InceptionResNetV2, and EfficientNet. Ajeya also adapted different models such as SVC, Random Forest and Neural Network for classifying covid cases. Ajeya is currently working as a Software Engineer - ML and Machine Learning Engineer at SaaS Labs since 2022.

Ajeya Krishna is currently enrolled in an Integrated Dual Degree program in Engineering Physics at the Indian Institute of Technology (Banaras Hindu University) in Varanasi, which they started in 2017 and is expected to complete in 2022. Additionally, they have obtained three certifications from Coursera: Business Statistics and Analysis (2021), Deep Learning Specialization (2021), and Machine Learning (2019).