Rishabh Dingliwal

Software Engineer

Delhi, India3 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Expert in AI-driven telecommunications solutions.
Proficient in machine learning and data science.
Published author in IEEE with industry certifications.

Stackforce AI infers this person is a Software Developer specializing in AI and telecommunications solutions.

Contact

Skills

Core Skills

Software DevelopmentCloud ComputingMachine LearningArtificial Intelligence (ai)

Other Skills

Python (Programming Language)SQLMicroservicesAttention to DetailCommunicationOptimization TechniquesGenerative AIComputer VisionNLPAWSLarge Language Models (LLM)Big DataStatistical Data AnalysisOCIJSON

About

I am a Software Developer at Oracle Corporation, where I contribute to the development of 5G Core telecommunications products and the integration of AI-driven tools and workflows to enhance engineering productivity and innovation. I hold a postgraduate degree from Birla Institute of Technology & Science (BITS-Pilani) and a bachelor’s degree from Delhi Technological University (DTU). I am passionate about data science and machine learning, with hands-on experience across diverse projects and tools. I have authored technical publications in IEEE, and hold multiple industry certifications, including the Oracle Cloud Infrastructure (OCI) Certification. An avid reader and lifelong learner, I thrive in collaborative environments and am always excited to work with professional software development or data science teams to solve real-world problems.

Experience

3 yrs 11 mos

Total Experience

3 yrs 11 mos

Average Tenure

3 yrs 11 mos

Current Experience

Oracle

3 roles

Software Developer 2

Promoted

Sep 2024 – Present · 1 yr 9 mos

Python (Programming Language)SQLSoftware DevelopmentCloud Computing

Software Developer 1

Jul 2022 – Sep 2024 · 2 yrs 2 mos

MicroservicesAttention to DetailSoftware Development

Project Intern

Jan 2022 – Jul 2022 · 6 mos

Attention to DetailCommunication

Delhi technological university (formerly dce)

Research Intern

May 2021 – Jul 2021 · 2 mos · Delhi, India

Developed Generative AI model for Image Captioning system using attention-based Transformer model built on 3 state-of-the art architectures.
Integrated Computer Vision & NLP; reduced development time by 20% using transfer learning.
Achieved 684ms inference time on object detection & 1.2s inference time on caption generation.
Deployed model using AWS services like S3 and E2 instances for a distributed and scalable solution.

Optimization TechniquesAttention to DetailMachine Learning