Neervika Gupta

Software Engineer

Bengaluru, Karnataka, India2 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in architecting scalable AI solutions.
Proficient in full-stack development with modern frameworks.
Hands-on experience with cloud infrastructure and DevOps.

Stackforce AI infers this person is a SaaS-focused AI Engineer with strong full-stack and cloud infrastructure expertise.

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Skills

Core Skills

Artificial Intelligence (ai)Full-stack DevelopmentCloud & Devops EngineeringCloud Infrastructure

Other Skills

AI EngineeringAWSAWS Cloud MigrationAWS Cloud PractitionerAWS CloudFormationAWS LambdaAWS SageMakerAmazon S3Amazon Web Services (AWS)AngularJSBoto3 SDKCI/CDCI/CD automationCascading Style Sheets (CSS)Cloud Computing

About

I'm an AI Engineer with 2 years of experience spanning Artificial Intelligence/Machine Learning, Full-Stack Development, Cloud Infrastructure, DevOps. I specialize in delivering innovative, scalable, and secure AI solutions that accelerate business growth. Key Skillsets: 🚀 AI/ML: Skilled in architecting, training, and deploying Generative AI and traditional machine learning models across cloud platforms (AWS, Azure, GCP) and on-premise infrastructures, with a focus on scalability, performance, and production readiness. 🚀 Programming & Software Development: Fluent in Python, Django, JavaScript with strong experience in backend and cross-platform full-stack development using frameworks like React. 🚀 Complex Problem Solving: Motivated by intricate challenges and elegant solutions. Skilled in algorithms, data structures, and quantitative analysis; capable of transforming complex business problems into optimized, tech-driven solutions. 🚀 Cloud & DevOps Engineering: Hands-on experience with AWS, Azure, and GCP, implementing Infrastructure as Code using Terraform and CloudFormation. Proficient in CI/CD pipelines with Jenkins, GitLab CI, and container orchestration using Docker and Kubernetes.

Experience

Hsbc

2 roles

Software Engineer-AI

Apr 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

HSBC – Group Innovation & Ventures | Artificial Intelligence Pod
🚀 AI Engineering :
Full-stack development of AI/ML-powered applications across hybrid environments (on-prem, GCP, and AWS). Delivered end-to-end AI solutions, incorporating data pipelines, model training/inference services, and CI/CD automation, driving innovation and operational efficiency across multiple business verticals.
🧠 GenAI Innovation Pod – Applied Research & Development:
Spearheading advanced Generative AI initiatives focused on driving innovation, building scalable AI solutions, and accelerating the adoption of cutting-edge technologies across the enterprise.
GenAI Enterprise-Standardization Repository
🔹 Automated AWS SageMaker Provisioning with Terraform
Developed an Infrastructure-as-Code (IaC) solution using Terraform to automate the provisioning of Amazon SageMaker Notebooks. The solution supports customizable IAM roles, lifecycle configurations, instance types, and auto-shutdown policies—empowering teams to rapidly spin up secure, cost-effective ML environments while ensuring governance across GenAI experimentation workflows.
🔹 Multi-Region Amazon Translate Enablement & Testing
Engineered a Python automation script to enable, configure, and validate Amazon Translate across multiple AWS regions. Leveraging the Boto3 SDK, the script executed robust end-to-end translation tests with multilingual input, complete with detailed logging, exception handling, and region failover—streamlining service verification for production-ready GenAI translation pipelines.
🔹 End-to-End GitLab CI/CD Deployment on GCP
Implemented a scalable, self-hosted GitLab environment on Google Cloud Platform using Compute Engine, Cloud Storage, and Load Balancing with SSL termination. Configured secure IAM policies, GitLab Runners, and integrated CI/CD pipelines with GCP Container Registry and Artifact Registry—enabling secure, automated DevSecOps workflows tailored for enterprise-grade AI development.