Sparsh Gupta

Software Engineer

Haridwar, Uttarakhand, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proven experience in backend system engineering.
Strong foundation in computer vision and AI technologies.
Active involvement in recruitment and operations management.

Stackforce AI infers this person is a Cloud Computing and AI enthusiast with practical internship experience.

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Skills

Core Skills

JavaOracle CloudComputer VisionPythonNetworkingOperations Management

Other Skills

PrometheusGrafanaYOLOv8MonitoringMachine LearningGenerative AIProbabilistic ModelsProbabilistic Generative ModelsProbabilistic ProgrammingLegacy SystemsData AnnotationProblem SolvingSoftware ProjectsProgrammingC (Programming Language)

About

I'm a Computer Science Engineering student at BITS Pilani, Hyderabad Campus, passionate about technology and eager to learn and apply my skills. Open to opportunities in the tech industry to grow and make an impact.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Uber

Software Engineer Intern

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · On-site

Oracle

Software Engineer Intern

May 2025 – Jul 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Engineered a robust telemetry and backend tracking system for Oracle Cloud subscription termination workflows, significantly improving system observability, error traceability, and workflow transparency.
Designed clean, extensible backend logic with modular handling for various job types, enabling easy integration of new processes and consistent metric reporting across systems.
Integrated Prometheus for fine-grained metric collection and Grafana dashboards for live monitoring of job health, request failures, and end-to-end system status.

JavaOracle Cloud

Jio platforms limited (jpl)

Summer Intern

May 2024 – Jul 2024 · 2 mos

Contributed to enhancing the JIO AI Matrix by improving object detection for previously underperforming classes, leading to more accurate and reliable AI solutions.
Utilized advanced tools and frameworks such as Roboflow and Ultralytics YOLOv8 to develop and fine-tune object detection models, resulting in a marked improvement in performance and accuracy.

Computer VisionPython