AI/ML Engineer - Generative AI & Data Engineering

Monish Barot

https://pro-spirit.github.io/McKinney, portfolio https:TX //linkedin.monishbarot@com/in/monishbarot/ hotmail.com https://github.com/PRO-Spirit Profile

AI/applications, pipelines developing ML engineer and AI-generative AI driven and solutions software applications AI, across computer developer AWS for vision, healthcare and with Azure, and experience and enterprise deploying HR systems. spanning software machine cloud learning development. data engineering, models, Hands-automating on machine experience financial learning, building workflows, LLM/data NLP and Skills

Languages AI model Cloud Informatica Software & Machine & deployment Platforms: & & Tools: Cloud, Data: Learning: Git, Python, Power AWS, Bitbucket, Machine Azure, BI SQL, Azure advanced Jira, Learning, Confluence, Machine SQL, Generative ETL, Learning, SCCM, data AI, Active engineering, Azure LLMs, Directory, AI, NLP, AWS computer data SageMaker, Jamf, modeling, Snipe-vision, AWS data IT, image Postman Athena, analysis, analysis, Snowflake, data sentiment pipelines SQL analysis, Server, Certifications

AWS AWS Certified Certified Data Machine Engineer Learning - Associate Engineer - Associate Experience

Developer ● ● Develop Apply software and Holman maintain engineering, Jun software 2022 cloud, - solutions Present data, and in an AI enterprise capabilities environment. to business applications. AI ● ● ● ● ● ● ● ● workflows. Informatica selection workflows. analysis hours Data Built Managed Developed Built Developed Automated Built Helped a proof-a Scientist per robust daily create capabilities. and and quarter. and an of-financial Cloud. PDF financial led data LLM-concept the deployed financial-the Resolution end-codebase based report 70-analytics. to-AI million-machine solutions end customer rate generation to Life testing extraction improve asset learning to Aug representative pipeline process selection with 2021 data workflow models Python reliability, and reinsurance - Mar and supported with proof and LAT and 2022 efficiency, Python, AWS AWS projects, of treaties concept production-Athena, ETL Azure using pipeline latency, and using reducing Machine evaluate advanced oriented AWS to and ingest manual SageMaker, quality Learning technologies SQL, model information across Snowflake, team deployment. Studio, including effort for ETL into and upcoming SQL and by Azure the NLP approximately analytics Server, data and treaty AI lake. sentiment- for and asset 50 Cancer ● ● ● publications. Worked Contributed Developed Imaging with image-to cancer-using an analysis AI-imaging driven AI Drexel approaches system datasets University for and to MRI investigate developed image College processing AI-of algorithms assisted Computing and cancer for analysis & different Informatics symptom using cancer Python prediction Jan types. and 2019 and Azure - Mar contributed AI. 2022 to research Software ● ● ● Workspace. Developed Integrated Implemented Developer the cloud-AI-HelloSign driven based & Technology AWS HR API automation into environments HR Coordinator software including and and HR auto-supported software, Acclaim scheduling Autism including application and Sep automated geolocation UI/2019 UX design - background Sep services 2021 for web using checks. and AWS mobile and applications. Google

● Established device onboarding, VPN, antivirus, security, and remote technical-support processes for clinical staff. IT ● ● ● issues. Specialist Configured Managed Supported hardware video-faculty, Drexel conferencing staff, assets University and with student systems, Snipe-College devices IT helpdesk of and Computing provided using operations, SCCM, advanced & Informatics Active ticket software Directory, routing, Mar and and software 2019 hardware Jamf. - Jun access, 2019 troubleshooting. licensing, and encryption Education

Drexel 2024 Drexel - Dec University University 2025 School B.S. Data of Computer Science, Management and Information & Information Sciences Systems, M.S. Artificial Software Intelligence Engineering and Machine Jan 2022 Learning - Jun 2023 Aug