# Rudra Pakhare

Rudra Pakhare is a remote worker on Himalayas, Data Systems Engineer 2 at Oracle, based in India.

Source: https://himalayas.app/@rudrapakhare

```text
I build scalable backend platforms and distributed systems that improve reliability, extensibility, and performance.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 30k+ USD |
| Job categories | Software Engineer, Backend Engineer, Data Engineer, Systems Engineer |
| Skills | C++, Python, Java, Go, Rust, SQL, BASH, JavaScript, fastAPI, Django, Spring Boot, Spring Security, Hibernate, NodeJS, ExpressJS, gRPC, Microservices, Concurrency, Multithreading, Caching, Rate limiting, Kafka, RabbitMQ, Event Driven Architecture, Oracle Database, PostgreSQL, MongoDB, Redis, Elasticsearch, Docker, Jenkins, GitHub Actions, OCI, AWS, Linux, Operating System, Networking, TCP IP, Sockets, IPC, Memory Management, React, Next.js, Flutter, Android, Jetpack Compose, Firebase, Distributed Systems, API Design, System Design, Performance Optimization, Plugin Architecture, OAuth, JWT, SSE, YAML, Dependency Injection, Atlassian REST APIs, PII Masking, Word2Vec, Faiss, Hugging Face Transformers, Pytorch Lightning, RAG, Flex, BISON, X86, MVVM, Admob |

## What I'm looking for

```text
I'm looking to build reliable, scalable backend and distributed systems, with opportunities to own platform architecture, improve performance, and solve production-scale engineering problems.
```

## About

```text
At Oracle, I build backend platforms for AI and data systems, including an organization-wide workflow runtime adopted across nine applications.

I developed a Python/FastAPI framework that cut workflow onboarding time by 80% and a thread-safe resource lifecycle layer that reduced request latency from 500ms to 10ms. I also design secure REST APIs, plug-and-play integrations, and async SSE pipelines for reliable streaming.

Previously, I built a question-answering tool over 100K+ Jira tickets and Confluence documents, using retrieval pipelines and optimized RAG training to reduce fine-tuning time by over 90%. I bring a systems foundation from IIT Bombay and enjoy building maintainable production services.
```

## Experience

### Data Systems Engineer 2 (current)

[Oracle](https://himalayas.app/companies/oracle). Jul 2024 - Present

```text
Designed and implemented an organization-wide framework adopted across 9 applications, reducing workflow onboarding time by 80% and request latency from 500ms to 10ms. Architected a plug-and-play integration layer and secured REST APIs with OAuth 2.0 and JWT/JWKS validation.
```

Skills: Python, fastAPI, YAML, OAuth, JWT, JWKS, SSE, REST-APIs, Dependency-Injection, Thread-Safety, Resource-Lifecycle-Management, Integration-Patterns, Factory-Pattern, Adapter-Translator-Pattern

### Project Intern

[Oracle](https://himalayas.app/companies/oracle). May 2023 - Jul 2023

```text
Developed an automated question-answering tool over 100K+ Jira tickets and Confluence documents using clustering and open-domain question answering. Reduced model fine-tuning time by over 90% using Hugging Face Transformers and PyTorch Lightning.
```

Skills: Python, Jira-REST-API, Confluence, PII-Masking, Word2Vec, Faiss, Hugging-Face-Transformers, Pytorch-Lightning, RAG, Clustering, Open-Domain-QA

## Education

### Indian Institute of Technology Bombay

Bachelor of Technology, Computer Science and Engineering. Grade: 8.21/10

```text
Bachelor of Technology in Computer Science and Engineering with a CPI of 8.21/10.
```

## Tech stack

- Jenkins
- GitHub Actions
- Flutter
- PostgreSQL
- MongoDB
- Node.js
- Django
- Spring Boot
- Next.js
- Redis
- React
- JavaScript
- Python
- Java
- Go
- C++
- Rust
- Kafka
- RabbitMQ
- ExpressJS
- FastAPI
- FLEX
- Hibernate
- Linux
- Firebase
- gRPC
- Elasticsearch
- Spring Security
- Docker
- SQL
- Bash
- Faiss
- Android

To contact Rudra, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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