Software Engineer | Cloud Infrastructure & DevOps Enthusiast

I’m a Software Engineer with a strong focus on cloud infrastructure, observability, and DevOps. Most of my work revolves around designing and deploying scalable cloud-native systems using tools like Terraform/OpenTofu, Kubernetes, Helm, and AWS—often with Go or Python in the mix.

Currently, I'm building enterprise-grade observability stacks in an EKS environment, automating deployments with Infrastructure as Code, and integrating telemetry pipelines that track logs, metrics, and traces. I recently implemented the full OpenTelemetry and Grafana LGTM stack—Loki, Grafana, Tempo, and Mimir—to provide real-time visibility into Kubernetes workloads. This included configuring OpenTelemetry Collector pipelines, securing access via IAM and OAuth, and designing Grafana dashboards for API performance monitoring.

I enjoy working on high-impact infrastructure projects where reliability and visibility matter. From automating lifecycle policies for cloud storage to tuning dashboards for actionable insights, I aim to make systems easier to operate and scale.

Lately, I’ve also been exploring how agentic AI tools can accelerate cloud engineering workflows—from prototyping infrastructure to debugging services—especially in fast-moving environments.

As I continue to grow, I’m focused on deepening my expertise in observability, secure cloud deployments, and automation that scales.

Languages: Go, Python, C#, TypeScript, SQL, HTML/CSS Frameworks & Libraries: Angular, React, Flask, .NET, ASP.NET, Entity Framework Cloud & Infrastructure: AWS (EKS, IAM, S3, EC2), Terraform/OpenTofu, Kubernetes, Helm, Docker Observability & Monitoring: OpenTelemetry, Grafana, Prometheus, Loki, Tempo, Mimir DevOps & CI/CD: GitHub Actions, GitLab CI/CD, Git, CodeQL Databases: PostgreSQL, SQL Server

• Building production-grade observability pipelines using OpenTelemetry and the Grafana LGTM stack (Loki, Grafana, Tempo, Mimir)
• Advanced Go (Golang) for backend services and infrastructure tooling
• Cloud-native engineering with AWS, Terraform/OpenTofu, and Kubernetes
• Infrastructure as Code (IaC) strategies for secure, scalable, and repeatable deployments
• Real-world DevOps and monitoring workflows that support high-reliability systems

Software Engineering Intern (June 2025 - Present)
Working at the intersection of cloud engineering, observability, and infrastructure as code to build scalable, production-ready systems.

• Architecting and deploying observability stacks using the Grafana LGTM suite (Loki, Grafana, Tempo, Mimir) on AWS EKS via Terraform and Helm
• Implementing telemetry pipelines with OpenTelemetry Collector to process logs, metrics, and traces from Kubernetes workloads
• Automating infrastructure with dynamic Helm chart templating, GitLab CI/CD, and remote state management for reproducible environments

Designing Grafana dashboards for real-time API performance monitoring and system health visibility

Securing cloud infrastructure with IAM roles, OAuth SSO, and lifecycle policies for compliance and cost efficiency

Software Engineer (June 2022 - September 2024)
Developed and optimized high-performance e-commerce web applications. Led initiatives in analytics, security, automation, and frontend modernization to improve platform reliability and business outcomes.

• Led the integration of Heap Analytics contributing to a 30% increase in conversion rates.
• Automated security pipelines across 30+ repositories using GitHub Actions and CodeQL, resolving 100+ vulnerabilities and streamlining DevSecOps practices.
• Migrated monolithic frontend to micro-frontend architecture with Angular 17+ and TypeScript, improving scalability and performance.
• Optimized SPAs to reduce load time by 40%, enhancing user experience and engagement.

Personal Full-Stack Project (Ongoing)
A web application designed to store, organize, and manage code snippets effectively, featuring tagging, code editor integration for language validation and syntax highlighting, and advanced search capabilities.

Highlights:

• Developed a responsive UI using Angular 20 standalone components.
• Integrated Monaco Editor for syntax highlighting and supported language validation.
• Built a robust backend with ASP.NET Core and PostgreSQL, implementing JWT-based authentication.
• Designed a tagging system to enhance snippet categorization and retrieval.

Open Source Contribution
Refactored the FX pass logging in PyTorch to separate verbose/intermediate graph logs from final output graph logs. Introduced a new artifact logger (graph_code_verbose) so that only final output graphs log to the original artifact, improving log clarity and developer experience without changing FX pass logic or user-facing APIs.

Highlights:

• Refactored insert_deferred_runtime_asserts and related logging to reduce noise and improve the development workflow.
• Added a dedicated artifact logger for verbose FX pass logs, making debugging and log parsing simpler.
• Ensured backward compatibility and preserved existing functionality for all users and contributors.

Open Source Contribution (Pending Merge)
Collaborated on improving Scrapy’s behavior for filtering items by reviewing and providing feedback on a pull request. The enhancement introduces a more flexible approach to handle inclusion and exclusion rules, allowing developers to define whether inclusion or exclusion takes precedence when both rules apply to the same item.

Highlights:

• Contributed by reviewing the implementation and suggesting improvements to ensure high-quality standards.
• Helped refine the logic to simplify how developers manage conflicting inclusion and exclusion rules.
• Enhanced Scrapy’s flexibility, making it more adaptable to real-world scenarios where filtering criteria can overlap.

Open Source Contribution
Fixed a bug in pytest's production code that caused test durations to appear negative, improving timing accuracy and ensuring reliable test reports. Contributed to the changelog to document the fix.

Highlights:

• Enhanced the accuracy of test duration reporting in pytest.
• Collaborated with the open-source community to review and merge the fix.
• Improved reliability and usability of the pytest framework for developers.

Personal Full-Stack Project (March 2025 - Present) A responsive personal library application for tracking reading progress and enriching metadata with Google Books API.

Highlights:

• Designed a SPA using React (TypeScript), Vite, and Material-UI.
• Built a Flask REST API for data management and metadata integration.
• Implemented reusable, component-based architecture for scalability.

• University of Maryland Global Campus
  Bachelor of Science, Computer Science (Summa Cum Laude)

• University of Massachusetts, Amherst
  Bachelor of Science, Interdisciplinary (Cum Laude)

Let's connect and build amazing things together!