Rajdeep Bhattacharya

Software Engineer

Bengaluru, Karnataka, India8 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Delivered MVP for Bitbucket Pipelines in two months.
Generated over 1 Million USD in revenue through migration tool.
Improved attachment migration TAT by 95%.

Stackforce AI infers this person is a SaaS Backend Engineer with strong expertise in cloud services and microservices architecture.

Contact

rajdeep.cse17@gmail.com LinkedIn

Skills

Core Skills

Solution ArchitectureMicroservicesMachine LearningWeb Development

Other Skills

AWS LambdaAlgorithmsAmazon DynamoDBAmazon S3Amazon SQSAmazon Web Services (AWS)Applied Machine LearningArtificial Intelligence (AI)Artificial Neural NetworksBootstrapCC++CSSCascading Style Sheets (CSS)Computer Architecture

About

Skilled software Engineer, currently at Atlassian, with 4.5 years of experience in designing and delivering scalable backend systems and distributed platforms. Have led cross-functional initiatives, developed resilient cloud services, and optimized large-scale systems for performance and reliability. Hold a passion for clean design, developer efficiency, and solving complex engineering challenges that drive meaningful impact.

Experience

8 yrs

Total Experience

4 yrs

Average Tenure

4 yrs 11 mos

Current Experience

Atlassian

2 roles

Software Engineer II

Promoted

Oct 2023 – Present · 2 yrs 8 mos · Bengaluru, Karnataka, India

Delivered the MVP product for test management in Bitbucket Pipelines (CI/CD service integrated into Bitbucket Cloud) including test metrics aggregation, flaky test skipping during builds, and YAML schema extensions to enhance user experience within 2 months of joining the team.
Technical lead for commercial to Atlassian Government Cloud migrations on FedRAMP. Worked with multiple stakeholders like product managers, cross-functional engineers, and the customer themselves to build a cross-boundary data-secure migration tool to FedRAMP. This project solely resulted in two customers signing the AGC license with Atlassian for∼3000 seats for both Confluence & Jira, generating over 1 Million USD in direct subscription revenue. Recognized by multiple HOEs for the same.
Implemented a batch-based bulk transfer system for attachment migration for backup/restore which improved overall TAT by approximately∼95% for media scale up to∼5 Terabytes. The system employs a load-leveling engine to handle request limiting, and a producer-consumer based system for attachment transfer in batches.- Second engineer on the BRIE (Backup, Restore, Import, Export) team to build backup and restore solutions for Atlassian’s cloud offerings for Jira and Confluence.

Amazon S3Solution ArchitectureAWS LambdaKubernetesTerraformMicroservices

Software Engineer

Jul 2021 – Oct 2023 · 2 yrs 3 mos · Bengaluru, Karnataka, India

Second Engineer on the BRIE (Backup Restore Import Export) team in India working across a range of features from building backup and restore solutions for Jira and Confluence to optimizing the Site data download mechanism for Sandbox migrations.
Feature lead for end-to-end testing framework for the backup and restore solution to improve resiliency of the system through nightly runs/PR merge runs. Helped solve 3 potential production issues in a span of 25 days.

JavaPythonMicroservices

Amazon

SDE Intern

Apr 2020 – Jun 2020 · 2 mos · Bengaluru, Karnataka, India

Worked as a part of the Bluegrass Team which deals with Voice Automation for Alexa Music to develop a Digital Music UI (DMUI) Dashboard Test Case Reports webpage from scratch which improved upon the existing version by adding extra features and enhancing user friendliness while making the page data efficient and reducing access time. The Tech stack used included a Java Servlet Backend and HTML, CSS, Javascript and Bootstrap on the Frontend along with Mockito for Unit Tests for the code.
Completed Primary project in 5 weeks and hence, given additional responsibility by the team to revamp the homepage of the DMUI Dashboard to improve user-friendliness as well as provide additional features.
Both pages deployed to Production before exit and currently being used by Amazon Music teams across borders from San Francisco to Bengaluru. They are estimated to have decreased test reports search time by 25% over and above providing additional statistical features for better test case analysis.

JavaHTMLCSSJavaScriptWeb Development

Indian institute of technology, kharagpur

Summer Research Intern

May 2019 – Jun 2019 · 1 mo · Kharagpur I, India

Interned under Dr. Jayanta Mukhopadhyay at the Visual Information Processing Lab in the Department of Computer Science and Engineering, IIT Kharagpur.

Jadavpur university

Undergraduate Student Researcher

May 2018 – Jun 2021 · 3 yrs 1 mo · Kolkata, West Bengal, India

Contributed to research in machine learning as a Student Researcher at CMATER Lab, Jadavpur University for computer-vision applications, including image-based disease screening and handwritten form recognition.
Worked on preprocessing techniques to handle class-imbalance in large datasets (e.g., clustering-based undersampling) to improve classifier performance.
Developed and evaluated convolutional neural networks and ensemble models for tasks such as medical image denoising and recognition of handwritten/printed text in filled-forms.
Gained experience in data-labelling, model-training workflows, algorithm implementation (Python / relevant ML libraries), and writing technical reports.
Collaborated with the research team to prepare these results for publication as a part of 9 research papers. Research can be found on https://scholar.google.com/citations?user=4ksRNkYAAAAJ&hl=en .

Machine LearningPythonImage Processing