Software Engineer: Gen-AI, ML, NLP, and LLM's Ex-Dell Full Stack

A Y U S H J O S H I

Software Engineer

Phone:+1-512-***-**** Email: ************.************@*****.*** LinkedIn: https://www.linkedin.com/in/ayush-joshi-205368145 Github: https://github.com/JoshiAyush21 WORK EXPERIENCE

WorkDay: Software Engineer July 2024 - Current

● New Feature development for Financial applications ( Banking, Payments, Invoice, Automation )

● Workday Gen-AI Hackathon second runner-up

Dell: Software Development Engineer July 2017 – May 2022 Machine Learning (Gen-AI, NLP, LLM ):

● US Patent P/N 11113034 · Issued Sep 7, 2021, for Gen-AI and ML-based pair programmer.

● Conceptualized and led the development of automated documentation and code suggestion

/Generation product using prompt engineering, data embedding, guardrails, RLHF, Deep Neural Networks (DNN), and NLP.

● Established pipelines for model training, fine-tuning, and deployment, delivering AI products that significantly enhanced code quality, accelerated development timelines, and optimized resource utilization.

● Key Technologies: Python, PyTorch, Pandas, NumPy, MongoDB, Elastic search, Java (backend), Java FX (desktop app).

Cloud Technologies:

● Developed a cloud-native application architecture to ensure high availability and reliability for critical applications.

● Initiated and implemented cloud-based applications by breaking down monolithic applications into microservices architecture and RESTful API-based services.

● Containerization and orchestration of microservices onto a native cloud platform.

● Developed a generic framework for creating services on Pivotal Cloud Foundry(PCF).

● Developed a project that resulted in a large factor improvement in testing automation

● Configured full CI/CD pipeline using GitLab DevOps tools.

● Key Technologies:: Oracle DB, Python, Django, Flask, Angular 5, Node JS, PCF. Full Stack Software development: Enterprise Resource Planning / Supply Chain applications.

● Developed standards and templates for front-end UI and back-end services/APIs

● Developed and architected full tech stack for technical onboarding application on cloud platform

● Designed and developed dynamic authentication and authorization service

● Key Technologies:: C#/C++, .Net, LINQ, Java, Javascript, Typescript, SpringBoot, Angular, React, SQL/NoSQL, XML, JSON, AJAX, Git, OAuth

Internet of Things (IoT):

● Developed sensor network prototypes using Edge Gateways, C, and Python scripts on Linux. ADDITIONAL SKILLS

R, Tensorflow, Scikit, HTML5, CSS3, jQuery, Docker, Kubernetes, Azure, AWS, TDD, Golang, Lua EDUCATION

Arizona State University USA - Arizona

MASTER of SCIENCE in COMPUTER SCIENCE (MSCS)Aug 2022 - May 2024 GPA: 4.0/4.0

Courses: Artificial Intelligence, Planning and Learning methods in AI, Natural Language Processing (NLP), Knowledge Representation, and Reasoning. Data Mining, Data Visualization PROJECTS

ML-based constraint satisfaction and resource allocation Insurance resource allocation Clingo ASP Efficient Path Optimization: Revolutionizing Real-World Mapping and Planning Python, Jupyter MLLM Hallucination scenario identification pipeline Python, Bash, PyTorch, openFlamingo Multi-Agent Logistics Planning and Learning Python, OpenAI Gym, Tensorflow Auto-LinkedIn web-scrapers integrated to ML/LLM to auto-generate introductory email Python AI / ML-based Housing Prices Prediction Python, Tensorflow, Scikit

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