Meet Nirav Diwan

linkedin.com/in/meetdiwan ad38y2@r.postjobfree.com github.com/Meet1903 +1-347-***-**** EDUCATION

New York University New York, USA

Master of Science in Computer Engineering; GPA: 3.9 May 2024 Gujarat Technological University Ahmedabad, India

Bachelor of Engineering in Computer Engineering; GPA: 4.0 Jul 2021 SKILL SUMMARY

Programming languages: C, C++, Java, Python, R, Javascript, Typescript, Node.JS Frameworks, libraries, and tools: TensorFlow, PyTorch, CUDA, Flask, HTML, CSS, Angular, React, Java Spring Boot, Docker, Elasticsearch, MongoDB, SQL, Postgres, Tableau, GIT, AWS EXPERIENCE

Subex Limited Bangalore, India

Software Engineer Aug 2021 - Aug 2022

● Constructed the Expression operator, enabling end users to write complex expressions employing auto-suggestion features to perform operations on data from multiple sources, utilizing Angular for front-end tasks and the Spring framework for back-end tasks.

● Spearheaded design and development for three of nine operators within Subex's flagship product, HyperSense Business Management Studio.

Crest Data Systems LLP Ahmedabad, India

Software Development Intern Jan 2021 - Jul 2021

● Collaborated with the Google LLC team to design, develop, and deploy continuous, real-time data migration software, enabling live export of data from the Google Cloud Platform to Elasticsearch.

● Created insightful dashboards on Kibana, incorporating Elasticsearch to import data from the Google Cloud Platform and monitor machine status. Implemented alert notifications on the dashboard to ensure swift action in case of adverse machine conditions. LEADERSHIP & INVOLVEMENT

Courant Institute of Mathematical Science, New York University Graduate Teaching Assistant (Course: CSCI-GA.3033-096 Special Topics: Data Analytics and Visualization in Healthcare.)

● Developed grading rubrics, created answer keys, and graded assignments, papers, projects, and exams to uphold academic standards and provide constructive feedback for student growth. New York University

Engagement Ambassador

● Facilitated fundraising efforts across all departments at NYU, particularly emphasizing the 1831 Scholarship Fund, leveraging personal connection as a recipient to enhance donor engagement and support student success. Institute of Electrical and Electronics Engineers (IEEE) Chairperson of Computer Society

● Planned and executed a series of technical events, workshops, and talks for Computer & IT students, providing valuable opportunities for skill development and knowledge enhancement even during the challenging period of COVID-19. Initiated and led research paper reading sessions as part of the AI club in the institute, setting a precedent for continuity and innovation despite the pandemic. Pioneered strategies that paved the way for other clubs to resume activities, inspiring resilience and adaptability within the community.

PROJECTS

Finetuned BLIP model for the Art Image Captioning: Tools & Technology: PyTorch, Flask, HTML

● Optimized the BLIP model by Salesforce for image captioning in the Art domain, refining it with a dataset derived from the Iconclass AI test set. Trained model in Distributed Data-Parallel mode on 4 NVIDIA Tesla V100 128 GB GPUs within an NYU HPC environment, achieving notable 10% and 9% reductions in evaluation time for all-caption and split-caption datasets, respectively. Engineered a Flask application for seamless integration of model, suitable for deployment on any device. [Link] TrafficSignNet Model:

Tools & Technology: TensorFlow

● Implemented a deep learning model for detection and recognition of traffic signs, with Mask RCNN for semantic object recognition and an enhanced K-means algorithm for picture segmentation and object extraction, resulting in an average accuracy of 85%. [Link] A System for Efficient Garbage Detection and Collection in Cities: Tools & Technology: Python, Flask, HTML, MongoDB

● Submitted an official entry to the Government of India hackathon in support of the 'Clean India' movement. Engineered a Deep Learning model leveraging pre-installed CCTV cameras in the city to detect and classify garbage into five categories, while alerting relevant authorities and monitoring garbage clean-up progress through an intuitive dashboard. COURSES & CERTIFICATIONS

Deep Learning Specialization (5 courses) [Certificate link] Server-side Development with NodeJS, Express, and MongoDB [Certificate link]

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