Machine Learning Software Engineer

OM NAI

***************@*****.*** 559-***-**** linkedin.com/in/om-nai omnai12.github.io/Om-Nai-Portfolio/ EDUCATION

California State University Fresno (Fresno State) Fresno, CA Master of Science, Computer Science, (GPA: 3.7/4.0) Aug 2024 – May 2026 Related Coursework: Reinforcement Learning, Artificial Intelligence, Combinatorial Algorithm, Human Computer Interaction, Programming Language Principals.

Dharmsinh Desai University Nadiad, India

B. Tech, Computer Engineering, (GPA 3.6/4.0) Oct 2020 – May 2024 Related Coursework: Data Structure and Algorithms, Advanced Algorithms, Machine Learning, Big Data Analytics, Computer Networks, Cryptographic Algorithms.

SKILL SET

Programming Languages: Python, JavaScript, Java, Typescript, C++. Framework: ReactJs, Spring Framework, Django, NestJS, NodeJS, ExpressJS, Flask. Technical Skills: Object Oriented Programing, Machine Leaning, NoSQL Database and SQL based Database, Git and GitHub, Redis. Miscellaneous: AWS (EC2 & S3), Linux, Docker, HADDOP, Spark, Operating Systems. Protocols: UDP, TCP, SMTP, HTTP, HTTPS.

Soft Skills: Team Player, Scrum Practitioner, Leadership, Team management. WORK EXPERIENCE

California State University, Fresno (Department of Science and Mathematics) Fresno, CA Student Research Assistant – (Hibiki AI – Software Developer) Mar 2025 - Present

• Machine Learning and backend developer for developing the AI tool where Rev. Saburo Masada (Japanese internment during World War II) tells his stories and give response to the input prompts in his own audio and video developed with deepfake technology.

• Training the Large Language Models and fine tuning the deepfake technology with underlying system hardware for the efficient processing and generate the videos. Improved the frontend codebase which boosted the performance by 70%.

• Working on the Research Paper publication and currently part of the Drafting Team to publish the research work in one of the top flagship AI conference of the USA and Worldwide.

IQud Tek LLP (Formerly: Full Stack Technology LLP) Gandhinagar, India Software Engineer Intern Dec 2023 – Jun 2024

• Full stack developer for developing enterprise level software by leveraging modern software development technologies like NestJS, NodeJS, Angular and Python. Worked with database management tools like Postgres SQL and GraphQL.

• Harnessing the use of the tools like Redis, BullMQ, Docker developed the client specific software by means of Agile methodology and delivered reliable automation system, along with improvement of existing code base system by 40% along with resolving 25+ bugs in the current system.

• Developed cross platform application (graphics based) built on top Three.js. Also performing testing of the software along with the developing the reliable software testing plan and taking care of entire Software Development Lifecycle. Volunteering Experience (Junior Software Engineer) (Sept, 2024 - Present)

• Volunteering BAPS Swaminarayan Sanstha for developing high scalable apps which caters approximately 10,000+ users for learning Gujarati language.

• Backend developed in Java using tech stack like Spring Framework, Microsoft SQL Server, ReactJS etc.

• RestAPI tester with authentication and security. Deployment of the software on the AWS and integration with. PROJECTS

Market Prediction based on semantic analysis (Tweeter Data Set) California State University, Fresno (Jan 2024 – Present)

• The project showcases the implementation of semantic analysis of the stock market by the approach of the Reinforcement Learning. Along with the minimalistic UI developed on top of the ReactJS and backend in NestJS.

• The project uses the new model free approach of the Deep Q-Learning and Policy Gradient Approach. Also, there is the usage of traditional NLP methods as part of feature engineering. Which 25% efficient than traditional deep neural nets approach.

• Also, it predicts to buy or sell or hold the based on the input provided. Translator and OCR Reader Dharmsinh Desai University (July 2022 – Nov 2022)

• User friendly responsive web-based project that translates the text and audio based on input from Gujarati language to English Language and vice versa. Along the side feature of OCR reader was also implemented that takes the input English language text and translate to Gujarati language by various image enhancements operations via Python, OpenCV, and TensorFlow and Machine Leaning model. Project also shows the implements of the LLMs for the translation.

• The application system also having the frontend developed in ReactJS and backend developed in Django along the feature of authentication system with JWT.

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