Open to opportunities

ANKIT SINGH

@ankitsingh18

Computer Science undergraduate with backend and full-stack experience in Java and Express.js, including production internships at Oracle and Samsung.

India

Message

What I'm looking for

I seek roles with end-to-end product ownership where I can build scalable backend systems, deploy reliable services, and apply lightweight ML for mobile/edge products.

I am a Computer Science and Engineering undergraduate with hands-on internship experience in product development, reactive microservices, and mobile-focused machine learning. I combine backend engineering skills with practical deployment experience to deliver production-ready solutions.

At Oracle Financial Services Software, I built a reactive Java 17 microservice using Spring WebFlux and R2DBC for credit scoring, implemented modular JAR–WAR packaging, and developed a reactive Slack bot with OAuth 2.0 integration. I managed deployments and source control to ensure maintainable, observable services.

At Samsung Research I performed EDA on 350+ sound localization samples and developed a lightweight (<5MB) sound detection model optimized for 2-mic smartphone geometry, leveraging YAMNet and Hugging Face models to improve accuracy and efficiency.

I have built full-stack projects using React, Node.js, Stripe, MongoDB and implemented role-based systems with JWT, RBAC, and notification workflows. I am driven to join teams that value end-to-end ownership, scalable design, and applied machine learning for real-world products.

Experience

Work history, roles, and key accomplishments

Product Developer Intern

Oracle Financial Services Software

Jun 2025 - Aug 2025 (2 months)

Built a reactive credit-scoring microservice using Java 17, Spring WebFlux and R2DBC, and packaged/optimized a WAR with connection pooling and custom logging; developed and deployed a reactive Slack bot with OAuth2 integration for dynamic Jira data loading.

Webflux R2DBC OAuth 2.0 Maven GitHub Railway REST APIs

Research Intern

Samsung Research

Nov 2024 - Mar 2025 (4 months)

Performed EDA on 350+ samples and developed a lightweight (<5MB) smartphone-optimized sound event localization and detection model using YAMNet and integrated Hugging Face models to improve accuracy.

Sound Event Detection YAMNet Deep Learning Data Analysis Python Optimization Hugging Face

Education

Degrees, certifications, and relevant coursework

Ramaiah Institute of Technology

Bachelor of Engineering, Computer Science and Engineering

2022 -

Grade: 8.79 CGPA

Pursuing B.E. in Computer Science and Engineering with a current CGPA of 8.79; coursework and projects focused on software development and machine learning.