About

Ajay Chinni is a highly skilled Machine Learning Engineer with over 6 years of experience in the industry. He is currently working at Phenom People, where he is responsible for product development and applying natural language processing and computer vision techniques to solve real-world problems. Ajay has a proven track record of deploying machine learning models and implementing extensive UI features like autocorrect and autocomplete to enhance the efficiency of HR operations. He has expertise in using seq2seq, Attention Mechanism, and Bert algorithms. Additionally, he has designed and implemented process monitoring and optimization solutions using open-source tools such as PM4Py to optimize business process performance, cost, and quality. Ajay has reduced server load by 60% by applying LSTM and Facebook Prophet algorithms in creating an optimized scheduler to pull jobs. He has also designed distributed algorithms for identifying trends in unstructured large data using Pyspark. His achievements include a tenfold decrease in website build times by creating an ML pipeline to convert images into HTML codes, utilizing RCNN, inception, and OCR algorithms. Prior to joining Phenom People, Ajay has worked as a Software Developer at Zealeers Technologies and as a Junior Data Scientist at Webtunix Solutions. At Zealeers Technologies, he designed object detection and IoT models to detect fainting and machine learning models capable of forecasting stock directions utilizing sentiment analysis and time series models. At Webtunix Solutions, he utilized Django in developing web applications and RESTful APIs, processing images, and recommending relevant apparels via computer vision. He also applied deep learning and natural language processing in developing a prototype chatbot to diagnose patients’ health conditions and medical states. Ajay has a Bachelor of Technology degree in Computer Science from Lovely Professional University. He has expertise in ML, computer vision, NLP, Python, object detection, sentiment analysis, UI, software engineering, test, data science, image processing, deep learning, Django, research science, TensorFlow, AWS, BERT, XGBoost, Keras, GPT, Docker, Pandas, MySQL, MongoDB, Kafka, and web technologies.