Utpal Kant Singh

Software Engineer

Bengaluru, Karnataka, India1 yr 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in DevSecOps and Generative AI solutions.
Developed AI-driven applications improving operational efficiency.
Strong background in machine learning and automation.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the Healthcare and Agritech sectors.

Contact

Skills

Core Skills

DevsecopsGenerative AiSoftware DevelopmentData EngineeringRobotic Process Automation (rpa)Machine LearningComputer VisionTeaching

Other Skills

CybersecurityVulnerability ManagementMicrosoft Copilot StudioDevOpsDebuggingJenkinsDockerChatbot DevelopmentLarge Language Models (LLM)Python (Programming Language)Natural Language Processing (NLP)SeleniumRegular ExpressionsJavaProblem Solving

About

Software Engineer at GE HealthCare with experience in DevSecOps, Generative AI, automation, and backend engineering. Currently working on CI/CD automation, infrastructure workflows, security integration, deployment optimization, and AI-driven engineering solutions focused on scalability and operational efficiency. Previously contributed to projects involving Retrieval-Augmented Generation (RAG), chatbot development, intelligent automation, and log analysis using Large Language Models (LLMs). Also worked on Robotic Process Automation (RPA), building automation workflows and bots using Selenium and Java. Graduated with a B.Tech in Computer Science & Engineering from Kalinga Institute of Industrial Technology. Passionate about building secure, scalable, and intelligent systems at the intersection of AI, cloud, automation, and software engineering. Always open to connecting, collaborating on innovative ideas, and discussing emerging technologies and software engineering trends.

Experience

1 yr 11 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 11 mos

Current Experience

Ge healthcare

3 roles

Software Engineer

Apr 2026 – Present · 2 mos · On-site

Working on DevSecOps and Generative AI solutions, including CI/CD automation, security integration, infrastructure management, and AI-driven applications to improve operational efficiency and software delivery.

DevSecOpsSoftware DevelopmentCybersecurityGenerative AIVulnerability ManagementMicrosoft Copilot Studio

Software Engineering Specialist

Jul 2024 – Apr 2026 · 1 yr 9 mos · On-site

Contributed to the development of intelligent applications, automation tools, and software solutions while collaborating with cross-functional teams to deliver reliable and scalable systems.

DevSecOpsDevOpsCybersecurityGenerative AISoftware DevelopmentDebugging+3

Data Engineering Intern

Oct 2023 – Jun 2024 · 8 mos · On-site

I am handling all the Data Engineering and Data Ingestion side for the internal development of an Onboarding Assistant driven by Generative AI. Developed the chatbot with the Advance RAG integration.

Generative AIData EngineeringChatbot DevelopmentLarge Language Models (LLM)DebuggingPython (Programming Language)+3

Highradius

2 roles

Product Engineering Intern

Jul 2023 – Sep 2023 · 2 mos · Bhubaneswar, Odisha, India

I was working on developing agents and bots for automation of the business requirements.

SeleniumRegular ExpressionsRobotic Process Automation (RPA)DebuggingJavaProblem Solving+1

Engineering Intern

May 2023 – Jul 2023 · 2 mos · Bhubaneswar, Odisha, India

Responsible for the Development, Deployment of AI-enabled B2B Fintech Cloud-Application.

DebuggingMachine LearningMySQLJavaPython (Programming Language)Software Development

Visvesvaraya national institute of technology

Summer Research Intern

Jun 2023 – Jul 2023 · 1 mo · Nagpur, Maharashtra, India · On-site

Designed and implemented a machine learning model using Convolutional Neural Networks (CNN) in Python to classify and detect various plant leaf diseases with over 92% accuracy on a curated dataset of 15,000+ labeled leaf images.

Image ProcessingDebuggingMachine LearningComputer VisionPython (Programming Language)Deep Learning+1