Rupesh Y.

Software Engineer

Bengaluru, Karnataka, India2 yrs 4 mos experience
Highly Stable

Key Highlights

  • Expert in full-stack development with diverse tech stack.
  • Proven track record in optimizing backend workflows.
  • Strong experience in machine learning and data engineering.
Stackforce AI infers this person is a Fullstack Software Engineer with expertise in E-commerce and Machine Learning.

Contact

Skills

Core Skills

Software DevelopmentProject ManagementData EngineeringMachine Learning

Other Skills

KubernetesRedisBackend DevelopmentReal-time ValidationSystem IntegrationData HygieneBusiness Continuity PlanningDecentralized DeploymentsData MigrationBigQueryAmazon Web Services (AWS)JavaCloud Development KitDependency ManagementTensorFlow

About

Experienced software engineer skilled in full-stack development and proficient in Python, JavaScript, CPP, and SQL. Committed to delivering scalable solutions and collaborating with cross-functional teams for optimal results.

Experience

Flipkart

2 roles

Software Development Engineer II (SDE II)

Aug 2025Present · 7 mos · Hybrid

Software Development Engineer I (SDE I)

Nov 2023Aug 2025 · 1 yr 9 mos · Hybrid

  • Backend Workflow for Partial Refunds: Designed and implemented a backend workflow for partial refunds with real-time validation. The project enhanced flexibility and is expected to reduce over-credited refunds by 10-15%.
  • Eligibility-Based Workflow for Address Change: Implemented a new eligibility-based system for changing return pickup addresses. This end-to-end integration across five services aimed to reduce invalid pickups and improve address data hygiene.
  • Action Server BCP Enablement: Led the initiative to achieve Business Continuity Plan (BCP) compliance by decentralizing Action Server deployments across two data centers. This involved setting up zone-based routing and a robust failover strategy, which improved system resiliency.
  • ClickHouse Reporting Deprecation: Led the modernization of the reporting system, migrating it from a resource-intensive ClickHouse setup to a scalable FDP + BigQuery pipeline. This effort freed up significant resources, reduced manual debugging, and improved observability for six+ business teams.
KubernetesRedisSoftware DevelopmentProject Management

Amazon

Software Development Engineer

Jan 2023Jun 2023 · 5 mos · Bengaluru, Karnataka, India

  • Worked On several Projects which included the following responsibilities :-
  • I upgraded my team service from CDK (Cloud Development Kit) from version 1 to version 2, enabling the utilization of significant improvements and changes in CDK v2. This involved conducting thorough research, studying documentation, and addressing challenges related to updating dependencies, modifying function calls, and adapting coding conventions. Additionally, I ensured seamless integration by incorporating the updated dependencies into the version set I was working with.
  • In one of the project, my main task was to convert a TensorFlow model and SPM tokenizer to ONNX format and integrate the HuggingFace tokenizer. This conversion enabled the generation of ASIN embeddings, representing unique product IDs in Amazon. Additionally, I enhanced the script to selectively utilize the new model and tokenizer based on the marketplace and introduced a flag for switching between the new and old models. The conversion to ONNX format allowed for more accurate testing in a weblab environment, ensuring consistent tokenization and eliminating known differences in embeddings.
  • I automated the data build process for Q2IBN by creating a script that runs on a cluster after every certain interval of days. The script retrieves queries, retrieves ASINs, computes scores for browse node irrelevance and query-browse node irrelevance, and publishes the resulting builds to S3. This automation ensures timely data availability for other services.
Amazon Web Services (AWS)JavaSoftware Development

Samsung r&d institute india

Research And Development Intern

Jan 2022Aug 2022 · 7 mos · Bangalore Urban, Karnataka, India

  • Worked on Developing a highly accurate code-switched text classifier for multilingual language
  • classification and Implemented an Online Transliteration System capable of converting words into any
  • target language. Generated, trained, and tested data using public resources, utilising a training corpus of
  • 30K Hinglish sentences.
Machine LearningBERT (Language Model)

Education

Vellore Institute of Technology

Bachelor of Technology - BTech — Computer Science

Jan 2019Jan 2023

Central Academy Schools

Jan 2005Jan 2019

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