Software Engineer · Tempe, AZ
Tharun Chowdary
Mannam
MS CS @ Arizona State University (GPA 3.73). Building scalable cloud systems, distributed backends, and developer infrastructure. Previously at NCR Corporation, Vosyn, and Holoworld.
01 · About
I'm a Computer Science graduate from Arizona State University with a passion for building scalable systems — from cloud-native microservices to ML-powered pipelines. I've shipped production code at NCR Corporation, built AI infrastructure at Vosyn, and developed AR/VR experiences at Holoworld. I thrive at the intersection of backend engineering, cloud infrastructure, and developer tooling.
02 · Experience
Software Engineer I
NCR Corporation · Hyderabad, India
- —Built RESTful microservices in Java/Spring Boot for NCR's financial transaction platform, reducing API latency by 30% through query optimization and connection pooling.
- —Automated VM provisioning with Python and Ansible, cutting infrastructure setup time from 4 hours to under 20 minutes across 200+ environments.
- —Designed CI/CD pipelines with Jenkins and Docker, enabling zero-downtime deployments for a team of 12 engineers.
ML / Software Engineering Intern
Vosyn · Remote
- —Researched and integrated NVIDIA NeMo speaker diarization into a multilingual audio processing pipeline, improving speaker segmentation accuracy by 18%.
- —Built a multilingual testing framework with Comet for evaluating translation quality across 14 language pairs, enabling automated regression testing at scale.
- —Contributed to CI/CD pipeline improvements using GitHub Actions and Docker, reducing test cycle times by 40%.
SDE Intern — AR/VR
Holoworld · Remote
- —Developed interactive AR/VR experiences in Unity (C#), optimizing frame rates from 45 to 72 FPS on Meta Quest 2 through LOD tuning and occlusion culling.
Research Volunteer
ASU VISA Lab · Tempe, AZ
- —Contributed to computer vision research, implementing data preprocessing pipelines for video understanding tasks using PyTorch and OpenCV.
03 · Projects
Elastic Face Recognition Cloud Platform
CloudServerless face recognition pipeline on AWS using Lambda, SQS, and Docker — auto-scales to handle burst video workloads with sub-second latency.
RECRUITZ
Full StackFull-stack applicant tracking system built with Java/Spring Boot and React, featuring real-time pipeline management and role-based access control.
CI/CD Observability Stack
DevOpsProduction-grade Kubernetes observability platform with Prometheus metrics, Grafana dashboards, and automated alerting for distributed services.
Travelcation
Full StackAI-assisted travel planning web app with Django backend, React frontend, and PostgreSQL — generates itineraries from user preferences using GPT integration.
04 · Skills
05 · Contact
Let's work together.
I'm actively looking for full-time SDE and DevOps roles. If you have an opening or want to talk engineering, reach out directly.