SUHAS SURESH

602-***-**** adzm1i@r.postjobfree.com https://www.linkedin.com/in/suhas-suresh97/

SKILLS

Expertise: NLP, Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Computer Vision. Frameworks/Applications: OpenAI, OpenCV, PyTorch, Keras, TensorFlow, NLTK Languages/Tools: Python, C++, React JS, HTML, CSS, Arduino, and Linux. EDUCATION

Master of Science - Computer Science Expected May 2024 Arizona State University, Tempe, AZ GPA - 4/4

● Relevant course work: Statistical Machine Learning, Natural Language Processing, Data Processing at Scale, Data Mining, Cloud Computing.

Bachelor of Engineering - Electronics & Communications Jun 2019 Ramaiah Institute of Technology, Bangalore, India GPA: 3.8/4

● Relevant course work: Data Structures and Algorithms, Engineering Mathematics, Python, Object-oriented programming. WORK EXPERIENCE

Graduate Researcher, May 2023 - Present

Data Science and Analytics Lab, Arizona State University, Tempe, AZ

● Research on Large Language Models - ChatGPT and Bard to collect and analyze 10 key data points on urban heat planning in Phoenix, Arizona.

● Fine-tuning LLMs like Falcon to deliver a 40% increase in resilient data compared to native LLMs. Graduate Researcher, Jan 2023 - May 2023

Interplanetary Initiative Lab, Arizona State University, Tempe, Az

● Handled the chat analysis of Port-of-Mars game leveraging Natural Language Processing methods, including sentiment analysis and emotion detection, to identify patterns and predict teams' performance with 70% accuracy. Graduate Teaching Assistant, Aug 2022 - Dec 2022

School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ

● Provided valuable insights on Agile workflow methodologies while tutoring 150 CS undergraduates for a capstone project. Guided in optimizing workflow for improved results.

● Mentored 20 teams in the development process of software projects. Senior Software Engineer Jul 2019 - Jun 2022

Bosch Global Software Technologies, Bangalore, India

● Developed automotive software for the Mid-Range Radar (MRR) to provide Adaptive Cruise Control using C++ and C.

● Handled complete diagnostic requirements. Proficient in ISO-14229, ISO-26262, AUTOSAR DCM and diagnostic services.

● Created an ecosystem using Python to enable Continuous Integration(CI) seamlessly between ClearQuest (Change Management Software), PTC integrity and Jenkins (Automation server). Reduced software integration time by 80%. PROJECTS

Continual Learning in Visual Question Answering Systems Aug 2022 - Dec 2022

● Developed a continual learning pipeline for Visual Question Answering, employing an iterative training approach across 8 levels of data complexity. Monitored accuracy and optimized the neural network through recurrent retraining sessions.

● Showcased a 3% performance enhancement achieved through the continual learning algorithm. Image Segmentation and Clustering Aug 2022 - Dec 2022

● Built a Computer Vision solution to search through a collection of images based on a given prompt and return the top 10 image matches.

● Leveraged Mask Regional Convolutional Neural Network model along with clustering algorithms to give us images corresponding to the given prompt.

Seed Segregation using Deep Learning Jan 2019 - Jun 2019

● Constructed a device to segregate seeds based on visual appearance. Devised Raspberry Pi-based hardware to segregate seeds by deploying colour thresholding and convolutional neural network to obtain an accuracy of 93%. PUBLICATIONS

● Seed Segregation using Deep Learning: S. K. Hiremath, S. Suresh, S. Kale, R. Ranjana, K. V. Suma and N. Nethra, "Seed Segregation using Deep Learning," 2019 Grace Hopper Celebration India (GHCI), Bangalore, India, 2019.

● Seed Quality Analyzer and Segregator: K. V. Suma, R. Ranjana, S. Kale, S. Suresh, S. K. Hiremath and N. Nethra, "Seed Quality Analyzer and Segregator," TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019.

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