I’m a software engineer with 5+ years of experience designing, building, and shipping scalable backend and full-stack systems. I’ve worked across Python, Rust, Go, C#, ASP.NET, JavaScript/TypeScript, and Java—delivering REST APIs, cloud-native services, and developer-focused automation with strong ownership from design through production support. I’m especially drawn to reliability, performance, and secure system design. In previous roles, I’ve led API migrations and authentication improvements, driven root-cause analysis from logs and data, and helped reduce incident frequency through DevOps best practices. I also incorporate AI-assisted development tools into the SDLC (for code generation, review, debugging, testing, and documentation) to increase delivery velocity without compromising code quality.

I’m a software engineer with 5+ years of experience designing, building, and shipping scalable backend and full-stack systems. I’ve worked across Python, Rust, Go, C#, ASP.NET, JavaScript/TypeScript, and Java—delivering REST APIs, cloud-native services, and developer-focused automation with strong ownership from design through production support. I’m especially drawn to reliability, performance, and secure system design. In previous roles, I’ve led API migrations and authentication improvements, driven root-cause analysis from logs and data, and helped reduce incident frequency through DevOps best practices. I also incorporate AI-assisted development tools into the SDLC (for code generation, review, debugging, testing, and documentation) to increase delivery velocity without compromising code quality.

Available to hire

I’m a software engineer with 5+ years of experience designing, building, and shipping scalable backend and full-stack systems. I’ve worked across Python, Rust, Go, C#, ASP.NET, JavaScript/TypeScript, and Java—delivering REST APIs, cloud-native services, and developer-focused automation with strong ownership from design through production support.

I’m especially drawn to reliability, performance, and secure system design. In previous roles, I’ve led API migrations and authentication improvements, driven root-cause analysis from logs and data, and helped reduce incident frequency through DevOps best practices. I also incorporate AI-assisted development tools into the SDLC (for code generation, review, debugging, testing, and documentation) to increase delivery velocity without compromising code quality.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Beginner
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Language

Aragonese
Advanced
Javanese
Intermediate

Work Experience

Software Engineer at Panopto
April 1, 2024 - Present
Led design and optimization of REST APIs for large-scale customer content migrations, expanding LTI (Learning Tools Interoperability) support and unlocking new customer segments; contributed to revenue growth. Owned architecture and development of a scalable C#/.NET backend integrating with major LMS platforms (Canvas, D2L, Moodle, Blackboard), including secure OAuth 2.0/JWT authentication. Served as release lead and on-call responder for major production deployments, applying AWS S3/EC2/CloudWatch and Jenkins practices to resolve incidents and reduce customer-facing downtime. Architected cross-product SSO consolidation, improving authentication flow consistency across multiple offerings. Drove root-cause resolution of production issues by analyzing logs, C#/.NET code, and SQL data, reducing average issue resolution time and easing support team pressure. Used AI-assisted tooling to accelerate debugging, unit test generation, and technical documentation; also supported technical hiring
Software Engineer at Commonic
February 1, 2023 - December 20, 2023
Led backend development in Rust, Elixir, and Go for a WebAssembly (WASM) compilation product, scaling runtime from a single host to multiple parallel instances using NATS messaging and container orchestration. Contributed to open-source wasmCloud adoption, improving CLI tooling, manifest JSON schema validation, and host startup performance. Configured and maintained CI/CD pipelines for 10+ applications using GitHub Actions to automate builds and publish workflows to Azure and GHCR. Applied WIT-based binding generation and the WebAssembly Component Model to compile guest programs into standardized WASM components, and extended component-model support for Python. Enhanced a shared library powering wasmCloud’s CLI by adding a new artifact packagin format and refactoring update functionality for reuse across commands, improving maintainability and developer experience.
Backend Engineering Intern at Veeam
June 1, 2022 - August 1, 2022
Developed and contributed to a backup and recovery product (PaaS) on Kubernetes and to an open-source project (Kanister). Designed architecture to integrate Argo Workflows to automate creation of Kubernetes Custom Resources using CronJobs and appropriate RBAC rules. Used MySQL and StatefulSets to orchestrate an application that backs up data regularly via these workflows. Engineered a pipeline to expose Prometheus metrics for creation, completion, and deletion of Custom Resources using Go to improve observability and monitoring across the overall application.
Software Engineer at Abrar i a Lab
February 1, 2022 - February 1, 2023
Ensured cross-browser compatibility for web applications using advanced HTML5, CSS3, and JavaScript techniques, reducing visual discrepancies across desktop apps by leveraging Electron. Designed and implemented RESTful APIs in Node.js, Django, and Vue.js, improving API response times and overall interoperability. Built REST services backing a 3D neural imaging pipeline with GraphQL, reducing response time via query-level caching for repeated MoSeq keypoint lookups. Spearheaded use of machine learning explainability models for MoSeq 3D data and derived key points and NLP syllables using interpretability approaches to produce statistical and interpretable outputs.
Software Engineer at Abair a Lab
February 1, 2022 - February 1, 2023
Ensured cross-browser compatibility for web applications using advanced HTML5, CSS3, and JavaScript techniques, reducing visual discrepancies across desktop apps built with Electron. Designed and implemented RESTful APIs using Node.js, Django, and Vue.js, improving API response times and overall system interoperability. Built REST services supporting a 3D neural imaging pipeline using GraphQL, reducing response time by adding query-level caching for repeated MoSeq keypoint lookups. Spearheaded use of machine learning explainability models for MoSeq 3D data to derive key points and NLP syllables, employing multiple explainability approaches to convert NLP syllables into statistical and interpretable data.
Software Developer at Cakesoft Technologies
September 1, 2020 - August 1, 2021
Developed and optimized RESTful APIs using Node.js, Express.js, React, Redux, and Firebase to enable seamless integration with an internal chat application, improving system responsiveness and scalability. Improved the deployment process by optimizing CI/CD pipelines with GitHub Actions, streamlining release cycles for better efficiency and reliability. Managed and oversaw database migration in Firebase to enable efficient API response performance. Integrated third-party services and created custom API routes with middleware features such as authentication, caching, and error handling using PHP, Laravel, jQuery, and MySQL.
Software Developer at Google Summer of Code
June 1, 2020 - August 1, 2020
Implemented low-powered models for disease detection and classification for radiology images using ResNet, DenseNet, and VGG at Lehigh Health. Experimented with quantization (Float32, Float16, Int8) and model pruning, reducing model size by 92% with minimal performance reduction. Deployed the application on a Flask server using Bootstrap, tested models on edge devices with QEMU, and published a paper describing findings.

Education

Master's in Computer Science at Rutgers University
August 1, 2021 - May 1, 2023
Bachelor's in Computer Engineering at Savitribai Phule Pune University
August 1, 2016 - June 1, 2020
Master's in Computer Science at Rutgers University
August 1, 2021 - May 1, 2023
Bachelor's in Computer Engineering at Savitribai Phule Pune University
August 1, 2016 - June 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Professional Services