Kulmeet Singh.
I build scalable backend systems, cloud infrastructure, and platform automation.
Software Engineer focused on cloud-native systems, infrastructure automation, CI/CD workflows, and high-scale data platforms.
Backend Systems
Java · Spring Boot
Building reliable backend services and scalable application workflows.
Cloud Infrastructure
GCP · Terraform
Designing and automating cloud-native infrastructure and deployments.
CI/CD Automation
Jenkins · Pipelines
Improving delivery workflows with secure and repeatable automation.
Data Engineering
Apache Beam · Batch/Realtime
Working on ingestion systems handling high-volume data flows at scale.
Professional Cloud Architect
Google Cloud
Credential ID: 5f09da7209a24931a67cbc3881df84c4
Verify CredentialJava Full Stack Certification
Wipro
Across full-stack apps, cloud automation, and data engineering work.
Covering cloud, development, problem solving, and technical learning.
02.Professional Path
A progression across full-stack engineering, cloud infrastructure, and data platforms, focused on building reliable systems and better developer workflows.
HSBC
CurrentSoftware Engineer
Jan 2025 - Present
Data Engineering and DevOps
AnyaSoftek
Full Stack Developer Intern
May 2024 - Jun 2024
Full Stack Development
Koders
Full Stack Developer Intern
Jan 2024 - Apr 2024
Full Stack Development
Software Engineer
HSBC
Building cloud-native data pipelines and deployment automation for payment platforms, with a focus on infrastructure reliability, operational efficiency, and scalable orchestration.
Key Contributions
- Built reusable Terraform modules to provision and manage large-scale GCP infrastructure across ~2000 resources.
- Developed Jenkins automation for weekend shutdown and restart cycles of Dataflow jobs, reducing compute costs by 30%.
- Optimized Apache Beam pipelines in Java and Spring Boot for streaming Pub/Sub events into BigQuery.
- Designed CI/CD pipelines with Sonar, Nexus, and Checkmarx for Cloud Composer DAG deployments, replacing VM-based schedulers with managed orchestration.
Impact
Stack Used
Full Stack Developer Intern
AnyaSoftek
Contributed to internal web platforms and client-facing portfolio builds, focusing on responsive frontend development and backend integration.
Key Contributions
- Developed a responsive and user-friendly interface for the consultancy website using Next.js and TailwindCSS.
- Implemented a MongoDB backend to store and manage client data and project information.
- Built a portfolio website for a client showcasing their projects and services.
Impact
Stack Used
Full Stack Developer Intern
Koders
Worked on fast-moving client projects across web development and automation, delivering full-stack features for real-world use cases.
Key Contributions
- Built Discord bot integrations that improved automated responses for a 300+ member developer community.
- Developed an e-commerce platform with Razorpay checkout and automated email notifications, supporting 1000+ SKUs while improving page load performance by 30%.
Impact
Stack Used
03.Featured Work
A mix of internal platform engineering, cloud automation, and product builds focused on developer productivity, reliability, and scale.
Terraform Log Summarizer and Compliance Checker
Built a CI/CD enhancement for GCP deployments with a Python-based shift-left compliance checker that blocks unauthorized IAM role assignments before release. Also developed a Terraform plan summarizer that highlights critical infrastructure changes—such as schema updates, service account bindings, and resource modifications—directly inside Jenkins logs for faster review.
CI/CD Pipeline for Cloud Composer
Built a secure CI/CD pipeline for Cloud Composer DAG deployments, replacing VM-based scheduling workflows with managed orchestration. Integrated Sonar, Nexus, and Checkmarx to improve release safety and standardize deployment quality.
Data Storage Cost Optimization
Built a proof-of-concept storage optimization workflow across BigQuery and GCS, including Parquet conversion for large datasets and automated storage-class transitions based on access patterns.
AI-Powered RFP Management System
Built an end-to-end AI platform that transforms unstructured procurement text into structured RFPs, reducing manual drafting time by 80%. Designed scalable APIs for proposal parsing, scoring, and vendor workflow automation.
E-Commerce Platform
Developed a full-stack e-commerce application with product discovery, wishlist, cart, authentication, Razorpay payments, automated order confirmation emails, and an admin dashboard for inventory and user management.
Conversational Fashion Recommendation System
Engineered an AI recommendation system supporting intent classification, dialog routing, and dynamic image generation. Integrated LLM-backed APIs, fine-tuned models for personalized outfit suggestions, and built natural conversational flows.
04. System Architecture
An interactive view of the Terraform Compliance and Plan Analysis Pipeline, showing how infrastructure changes move through validation, summarization, and release review before deployment. Click a node to inspect its role.
Primary Flow
Git → Jenkins → Terraform
Validation Layer
Policy + Plan Analysis
Outcome
Safer infra releases
05. Measuring Impact
A comparison between raw Terraform plan review and the summarized CI/CD change intelligence workflow I built to reduce review time, improve deployment confidence, and catch compliance issues earlier.
Review Time
Deployment Confidence
Outcome
Debugging Time
Change visibility
The summarizer highlights meaningful changes directly inside pipeline logs, cutting review effort from nearly an hour to just a few minutes.
Deployment Efficiency
Workflow acceleration
Automated validation and summarized outputs improved review clarity across each stage, helping engineers move faster with better confidence.
Compliance Safety
IAM guardrails
The compliance checker shifts validation earlier in the pipeline and blocks unsafe IAM assignments before deployment approval.
This section demonstrates not just implementation, but measurable engineering value: faster review cycles, improved deployment confidence, and safer infrastructure changes through earlier policy enforcement.
11.Get in Touch
I work across backend engineering, cloud infrastructure, and full-stack development. If you'd like to discuss a project, collaboration, or engineering ideas, feel free to reach out.
Let's build something solid.
Whether it's a project, collaboration, or an interesting engineering conversation, I'd be glad to connect.
Preferred conversations
Backend engineering, cloud infrastructure, DevOps, full-stack systems, and technical collaborations.
Response time
Usually within 24-48 hours, depending on message context and current schedule.
Best way to reach out
Share a short intro, project or discussion context, and any helpful links so I can respond clearly and quickly.
Contact Form