About

Omi Chandnani is a highly skilled Software Engineer with a strong background in Full Stack Development. With almost 5 years of relevant experience, Omi has a proven track record of developing and implementing innovative solutions that deliver significant value to organizations. Currently, Omi works as a Full Stack Engineer at Applyboard, where he is responsible for designing and developing scalable web applications. Omi's expertise lies in AWS, NLP, ML, Search, Sentiment Analysis, Web, Tokenization, Python, Javascript, and Flask. He has a Master's degree in Applied Computing (Co-op) from Wilfrid Laurier University, where he also worked as a Graduate Teaching Assistant. Omi also holds a Bachelor of Engineering degree in Computer Engineering from Thadomal Shahani Engineering College. In his previous role as a Full Stack Engineer at Deloitte, Omi created a web application using React and Javascript to extract insightful market sensing data by leveraging ML and NLP from news articles, saving about $40,000 a year in analyst cost. He used NLP techniques like tokenization, lemmatization, name entity recognition, sentiment analysis to convert unstructured data (news articles) to structured data (table). Omi also developed powerful and scalable ML pipelines which analyzed the collected data to discover hidden trends and correlations. He programmed a custom algorithm to match attributes with their respective criteria to provide recommendations for Deloitte Fast-50 Program. Additionally, Omi built RESTful APIs using Python and Flask to perform several core functionalities like data cleaning and data retrieval. The API acts as a gateway for the web application to fetch data from the cloud database. Omi also engineered a custom search engine to match attribute names using fuzzy logic and string manipulation to improve search results from 40% to 90%. He created a durable, secure, and fully managed subscriber notification service using AWS SNS to provide instant updates regarding any changes in the market. Omi automated the entire process of data collection to recommendation in real-time by creating an EC2 instance on AWS. He also improved his presentation and public speaking skills by participating in weekly pitches and presentations with stakeholders. Overall, Omi is a highly motivated and results-driven Software Engineer who is passionate about delivering innovative solutions. He is an excellent team player with exceptional problem-solving skills and the ability to work under pressure. Omi is always eager to learn new technologies and is constantly looking for ways to enhance his skillset.