Heet Kanani

1. Led end-to-end planning and execution of technical events, including fireside chats with recruiters, senior SDEs, and industry experts. 2. Coordinated logistics, speaker outreach, and event promotion to drive high student engagement across the NEU community. 3. Collaborated with club leadership to design workshops and hands-on sessions focused on AWS technologies and cloud fundamentals. 4. Managed event operations, ensuring smooth delivery, timely communication, and a strong learning experience for all attendees.

Graduate Teaching Assistant under Prof Jose Annunziato. 1. Organized and led interactive tutorials and workshops for 400+ students focused on Full Stack Technologies such as Next.js, Node.js, HTML, CSS, JavaScript, Express.js, JSON, and MongoDB, demonstrating strong communication and presentation abilities. 2. Delivered tailored one-on-one support, showing patience and flexibility in meeting the diverse learning needs of students. 3. Thoroughly evaluated and graded assignments and exams, held office hours to help students, showcasing exceptional analytical and assessment skills. 4. Effectively managed communication channels, maintained weekly office hours, and worked closely with the Professor Jose to enhance the course, emphasizing collaboration and strong interpersonal skills.

1. Developed and deployed 15+ scalable RESTful APIs using Java Spring Boot for the Household module, enabling end-to-end data flow by integrating external APIs from internal client services using Salesforce, reducing data retrieval latency by 12%. 2. Migrated legacy infrastructure to AWS Cloud, leveraging services like EC2, Lambda, S3 and CloudWatch, which enhanced application uptime by 22% and cut infrastructure costs by 27%. 3. Set up comprehensive monitoring and alerting using AWS CloudWatch, SNS, ELK stack and integrated Kafka logs and Jenkins pipeline metrics, resulting in a 32% improvement in incident response time and enhanced end-to-end observability. 4. Developed scalable authentication and authorization modules using Spring Boot MVC, OAuth2 and JWT, applying SOLID principles and design patterns to improve code maintainability, security and reusability. 5. Integrated Generative AI modules using OpenAI APIs and GitHub Copilot to automate content generation for user-facing modules, reducing manual workload by 41% and improving user engagement metrics by 25%.

Graduate Teaching Assistant under Prof Jose Annunziato.

Graduate Teaching Assistant under Prof Jose Annunziato. 1. Organized and led interactive tutorials and workshops for 400+ students focused on Full Stack Technologies such as React, Node.js, HTML, CSS, JavaScript, Express.js, JSON, and MongoDB, demonstrating strong communication and presentation abilities. 2. Delivered tailored one-on-one support, showing patience and flexibility in meeting the diverse learning needs of students. 3. Thoroughly evaluated and graded assignments and exams, held office hours to help students, showcasing exceptional analytical and assessment skills. 4. Effectively managed communication channels, maintained weekly office hours, and worked closely with the Professor Jose to enhance the course, emphasizing collaboration and strong interpersonal skills.

1. Led a cross-functional team in the development of Scala-based automated ETL jobs using Apache Spark, improving efficiency by 35%, reducing job execution time by 22% and processing 1 million+ records daily. 2. Engineered and designed 25+ Java REST APIs using Java Rest Templates to automate the entire client onboarding process in PowerBI, cutting onboarding time and enabled one-click setup of workspaces and resources for 30+ clients monthly. 3. Developed robust REST APIs using Spring Boot MVC, applying SOLID principles and design patterns to enhance code reusability by 20% and reduce technical debt by 15%. 4. Integrated Kafka for real-time data streaming, Redis for efficient caching, and Elasticsearch for improved search performance, reducing system latency by 40% and boosting throughput. 5. Created interactive dashboards using React.js and Chart.js libraries to display real-time data visualizations, enhancing user engagement and providing actionable insights.

1. Built an automated Chatbot using Dialogflow and Node.js, achieving an overall response time of 5 seconds. 2. Integrated the chatbot with a backend system for real-time response fetching using Node.js reducing stand-alone processing time by 35%. 3. Hosted the chatbot on AWS Lex and AWS Connect, leveraging cloud infrastructure for scalability and reliability. 4. Utilized a technology stack including Dialogflow, MongoDB, NoSQL, Node.js, JavaScript and AWS to ensure robust and scalable chatbot performance.

1. Created a churn analysis system to predict customer churn for users of various network providers, utilizing Spring Boot for backend REST APIs and processing a dataset of over 1 million users. 2. Constructed a customer feedback website to collect data, which was later used for churn prediction and analysis. 3. Implemented Machine Learning algorithms and NLP techniques, optimizing the process and reducing algorithm run time by 8 minutes.

Campus Leadership: AWS Cloud Club - Director of Events Oasis Club - Student Mentor Courses: CS5010: Programming Design Paradigms (Prof. Amit Shesh) CS5610: Web Development (Prof. Jose Annunziato) CS5800: Algorithms (Prof. Puljic Marko) CS5100: Foundation of AI (Prof. Rajagopal Venkatesaramani) CS6620: Cloud Computing - AWS (Prof. Michal Aibin) CS6140: Machine Learning (Prof. Uzair Ahmad) CS6200: Information Retrieval (Prof. David Smith) IE7374: Machine Learning Operations - MLOps (Prof. Ramin Mohammadi)

Courses: Java, Python, Data Structures and Algorithms, OS, Computer Networks, Web Development