Gautam Singh
Senior Software Engineer · AI Systems & Full-Stack Platforms
Summary
I'm a software engineer with 7+ years of experience specializing in backend development, cloud infrastructure, and building scalable systems. Currently at Hashicorp (IBM), I manage and maintain HVD clusters for high availability, automate operations with Terraform and Kubernetes, and build developer tooling that drives efficiency across teams.
Skills
backend
frontend
DevOps / Cloud
databases
What I Bring
Who I Am
Senior software engineer specializing in scalable backend systems, cloud infrastructure, and developer platforms.
My Level
7+ years of experience building production-grade systems used by real users at scale.
Problems I Solve
I design reliable, high-performance systems and internal platforms that make teams faster, infrastructure safer, and products more resilient.
Why It Matters
I focus on practical impact — reducing operational risk, improving performance, and enabling teams to ship confidently.
Experience
- Engineer new modules and implement core bug fixes for HVD clusters using Go, including designing new Cadence workflows and modifying Protobuf files.
- Manage on-call escalations to troubleshoot and debug HVD clusters deployed across AWS/Azure environments.
- Develop Go/Bash scripts utilizing AWS IAM roles to automate the cleanup of excessive S3 storage and stale IAM resources, optimizing cloud costs.
- Automate operations and deploy proof-of-concept projects using Terraform and Kubernetes to reduce manual tasks.
- Monitor infrastructure health and incidents using Datadog; resolve issues promptly.
- Collaborate with engineering teams to plan and implement infra improvements.
- Handle customer support tickets; troubleshoot and resolve cluster issues.
- Conducted interviews (even for Project Managers), shortlisting candidates aligned with company requirements.
- Independently validating and challenging financial models developed for Risk Management in the Retail domain.
- Ensuring the accuracy and reliability of financial models used in HSBC's Retail banking.
- Communicating complex information about models and risks to other departments in the company.
- Providing guidance and training to interns on Python programming and financial modeling concepts.
- Reviewing Python code for models, providing feedback and approvals for changes (Pull Requests).
- Spearheaded the development and maintenance of backend APIs using Flask and Django for various projects.
- Designed and maintained responsive front-end components with ReactJS and Redux Toolkit.
- Created data transformations leveraging Pandas DataFrame to optimize data processing.
- Collaborated within a dynamic team to design, develop, and deploy scalable, robust microservices meeting client specifications.
- Contributed to code reviews, testing, debugging, and troubleshooting to ensure the delivery of high-quality solutions.
- Maintained comprehensive documentation and provided technical support to team members and clients when needed.
- Orchestrated microservices using Azure Kubernetes Service (AKS) for efficient deployment and horizontal scaling.
- Utilized PySpark in Azure Databricks for stream processing, fetching high-volume data from SAP databases to optimize data transformations.
- Devoted expertise to the management of GCP resources.
- Developed REST APIs on Flask, deploying them seamlessly on GCP,establishing CI/CD pipelines utilizing Google Cloud Build and GitHub Actions.
- Leveraged Terraform for Infrastructure as Code to efficiently manage cloud resources.
- Implemented event-driven architecture using Google Cloud Pub/Sub for message delivery, integrating with Twilio Voice API to create a scalable, real-time call queue system.
- Utilized Google Kubernetes Engine (GKE) to deploy and manage containerized applications for multiple client projects and proof-of-concepts.
- Took advantage of various Google Cloud services, including Cloud Run, Cloud Functions, Cloud SQL, Secret Manager, Pub-Sub, Cloud Storage, Docker and Google Kubernetes Engine for multiple projects and proof of concepts.
- Pioneered the development of tailored backend systems and REST APIs using Django Rest Framework(DRF)..
- Crafted web applications tailored to clients' demands, ensuring alignment with expectations.
- Led a team of four professionals, guiding the design and development of projects across diverse platforms.
- Personally managed client relationships, gathering feedback for continuous development and quality assurance.
- Mentored new Django developers, contributing to their professional growth within the company.
- Conducted interviews, shortlisting candidates aligned with company requirements.
- Managed cloud deployments on AWS EC2 instances and S3 buckets.
- Engineered Python scripts integrated with custom AWS IAM service roles to achieve automated EC2 scaling.
- Integrated Sentry for real-time error tracking and performance monitoring.
- Regularly and effectively met warm calling targets, 2.5-3 hours call time per day.
- Accelerated company's growth by achieving a target revenue of 1.5L-2L per week.
Projects
| Year | Name | Company | Tech | Links | |
|---|---|---|---|---|---|
| 2026 | AI Reader | — | Next.jsTypeScriptTailwind CSSWeb Speech API | ||
| 2023 | SickDict | — | Python | ||
| 2022 | CLIA | — | Python | ||
| 2020 | Healthpotli | — | PythonDjangoVueJs | ||
| 2023 | Body Measurement Tracker | — | ReactRedux-Toolkit | ||
| 2023 | ComCen | Fractal Analytics | PythonFlaskReact | ||
| 2022 | Personal Portfolio V2 | — | ReactJavaScript | ||
| 2022 | Know Your Exceptions | — | Python | ||
| 2022 | C-Out | — | Python | ||
| 2022 | Python Profiler | — | Python | ||
| 2022 | Telelanguage | SpringML | PythonFlask | ||
| 2022 | Personal Portfolio V1 | — | ReactJavaScript | ||
| 2022 | Gcloud IAM custom roles | — | Python | ||
| 2021 | Terraform GCP Modules | — | Terraform | ||
| 2018 | QuizUp | — | Android | ||
| 2017 | Modern Minesweeper | — | Android |
Now
What I'm focused on right now
Work
Currently Senior Software Engineer at Hashicorp (IBM), focused on creating high-availability infrastructure deployments scaling globally.
Building
Experimenting with generative AI interactions, edge computing systems, and modern full-stack architectures for personal projects.
Learning
Deep diving into local, high-performance RAG pipelines and understanding memory paradigms for intelligent agents in autonomous workflows.
Reading
Exploring "Designing Data-Intensive Applications" (again) and recently finished "Staff Engineer: Leadership beyond the management track".
What's Next?
Get In Touch
I'm always open to new opportunities and interesting conversations. Whether you have a question or just want to say hi, my inbox is always open.
Say Hello