Poorav Desai

Software Engineer

College Station, Texas, United States4 yrs 9 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in building scalable cloud-native systems.
Published research on Generative AI in NLP.
Proven track record in cost-saving automation solutions.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in cloud computing and AI-driven solutions.

Contact

pooravdesai97@gmail.com LinkedIn

Skills

Core Skills

Cloud ComputingTeachingAutomationMicroservicesArtificial IntelligenceDeep Learning

Other Skills

API DevelopmentAzureCC++CeleryComputer NetworkingComputer ScienceComputer VisionConstructive FeedbackData ManagementData ScienceData StructuresDesign PatternsDockerDropwizard

About

A problem solver disguised as a Software Engineer. I’m a versatile software professional who thrives at the intersection of technology and business. Skilled in building scalable, resilient systems across Cloud Computing, Machine Learning, and NLP, I’m passionate about creating solutions that put the customer first while meeting complex business needs. Mathematically inclined, I deepened my expertise in intelligent systems through a Master’s in AI from IIIT Delhi, completing advanced coursework in Statistical Machine Learning, Probabilistic Graphical Models, NLP, Deep Learning, and Data Mining. My research on Multimodal Sarcasm Explanation—a cutting-edge Generative AI problem in NLP—was published at AAAI. I bring 3+ years of experience at Oracle Cloud Infrastructure, developing cloud-native services using Java, Python, Oracle DB, Docker, Kubernetes, and other cloud technologies. As part of OCI’s worldwide (~80 regions) deployment automation service, I delivered features that enhanced user experience and improved system resilience, giving me a strong foundation in designing highly available, extensible distributed systems. Outside of work, I’m an avid runner and traveler. Running has taught me the value of perseverance and consistency—principles I carry into my professional life. I’m currently seeking SDE internships for Fall ’25 and Spring ’26, and full-time roles starting May ’26. If you’d like to collaborate—or just talk about tech, running, or life—feel free to connect!

Experience

4 yrs 9 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 5 mos

Current Experience

Kaspar companies

Technology Modernization Intern

May 2025 – Jul 2025 · 2 mos · Shiner, TX · On-site

Saved ~40 hours of manual work per month by designing and deploying automation solutions for Finance team, including a digital credit application processing system, using Python Flask, Celery, Redis, MSSQL, and Azure Dockerized deployment.
Collaborated with Finance and IT teams to observe workflows, capture pain points, identify inefficiencies, define solution scope, and align stakeholder expectations for impactful automation.

PythonFlaskCeleryRedisMSSQLAzure+2

Info department - mays business school

Graduate Teaching Assistant

Jan 2025 – Present · 1 yr 5 mos · College Station, TX · On-site

Assisted in teaching Network and Cloud Infrastructure, Advanced Data Management, and Fundamentals of Information Systems courses.
Supported a diverse group of students - from undergraduates to working professionals - in understanding key concepts in cloud computing, data management, and information systems.
Conducted office hours to provide one-on-one guidance and clarify complex technical topics in an accessible manner.
Delivered constructive feedback on assignments and projects to help students strengthen their technical and analytical skills.
Managed multiple responsibilities effectively, balancing teaching support duties with graduate coursework through disciplined time management and organization.

LeadershipProject ManagementCloud ComputingData ManagementInterpersonal CommunicationTeaching

Oracle

Member of Technical Staff

Jul 2021 – Aug 2024 · 3 yrs 1 mo · Bengaluru · On-site

Cut operations cost by ~30% by developing the failure attribution feature enabling faster root cause analysis and self-mitigation for users, built using Java framework (Dropwizard), Oracle DB within a microservices architecture & deployed in automated Docker-based, Terraform-managed pipeline for Shepherd, OCI’s global (~80 regions) deployment automation service.
Enhanced Shepherd’s resiliency by developing a feature to seamlessly switch the dependency service stack at runtime making Shepherd immune to the dependency service failures and avoid downtime impacting majority of OCI.
Delivered timely service performance insights to leadership by analyzing metrics dashboards and identifying major incidents causing performance variation across Oracle Cloud’s distributed environment.

JavaDropwizardOracle DBDockerTerraformMicroservices+1

Meditab software india pvt. ltd.

Artificial Intelligence intern

Jul 2018 – Oct 2018 · 3 mos · Ahmedabad · On-site

* Developed a deep learning based Automatic License Plate Recognition (ALPR) system for parking management and traffic estimation, using Python, TensorFlow, Pandas, and NumPy, after performing literature review of ALPR and relevant topics such as Deep Learning based object recognition and segmentation.

PythonTensorFlowPandasNumPyArtificial IntelligenceDeep Learning