Arya Haldar

Senior Software Engineer

Mountain View, California, United States4 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Stackforce AI infers this person is a SaaS and Gaming-focused Software Engineer with expertise in cloud infrastructure and optimization.

KubernetesAwsImage CaptioningC++

AlgorithmsArtificial Intelligence (AI)AzureC (Programming Language)CI/CDCore JavaDX11DX11 APIDXBCData StructuresDatabasesDeep LearningDjangoDockerGCP

4 yrs 10 mos

Total Experience

2 yrs 5 mos

Average Tenure

4 yrs 1 mo

Current Experience

2 roles

May 2024 – Present · 2 yrs 1 mo

KubernetesDockerAWSGCPCI/CDHelm+1

May 2022 – May 2024 · 2 yrs

Platform Engineering:
Improved Harness Infrastructure for deploying services using Helm and Terraform in Dev-Space. Developed pipelines for building artifacts, deploying infrastructure and services with reduced time and cloud cost.
Self-Managed Platform:
Deployed high availability and Disaster Recovery solutions for on-premise installations.
Utilized CSI-based Velero to integrate backup and restore functionality into Harness products.
Established CI/CD automations for self-managed Platform releases. Reduced the release time from 6 weeks to 1 week with enhanced quality assurance.
Integrated Istio and Nginx networking into self-managed platform installations and implemented a product feature to support self-signed certificates.
Implemented DoD hardened Kubernetes guidelines and designed Helm charts compliant with FedRamp, Iron Bank, and BigBang standards.
Exposure: Java, Go, Kubernetes, Docker, Helm, Istio, GCP, AWS, Azure, OpenShift, MongoDB, Postgres, Redis, CI/CD, Nginx, Terraform, Terragrunt

JavaGoKubernetesDockerHelmIstio+10

Aug 2021 – May 2022 · 9 mos

Situation Aware Image Captioning (Master Thesis)
Enhanced Image Captioning task for correlating detected objects present in the scene using Graph convolution network.
The model was tested on ‘Flickr8k’ dataset with BLeU score of 0.59.
Exposure: Graph convolution network, Image Captioning, NLP

Graph convolution networkImage CaptioningNLP

May 2021 – Jul 2021 · 2 mos · Bangalore Urban, Karnataka, India

Received Pre-Placement Offer based on Internship performance.
Game Frame Optimization: Single Pass Primitive Depth Culling
Optimized game frame performance by implementing early-stage primitive level culling to minimize unnecessary pixel processing.
Developed an automated workflow for testing the effectiveness of ‘prim depth culling' on a diverse range of game frames in APIC modifications.
Introduced flags for invalidating Hierarchical Conservative data and seamlessly integrated compute pass and culling into a single pass.
Conducted performance testing on various games, such as Metro Exodus (resulting in a 28.5% speedup) and Apex Legends (resulting in a 21.2% speedup).
Exposure: C++, Graphics Pipeline, DX11 API, DXBC, HLSL, PerfInspector

C++Graphics PipelineDX11 APIDXBCHLSLPerfInspector