Shiv Ashutosh Singh avatar
Hyderabad, IndiaAvailable
Full-Stack Intern @ OneInfo.AI

Shiv Ashutosh Singh

Full-Stack Developer

Hyderabad, India
ashutoshsingh2081@gmail.com
he/him

I build full-stack web products end-to-end, with a strong focus on backend systems, clean APIs, and scalable architecture. Currently working with React, Next.js, Node.js, GraphQL, MongoDB, PostgreSQL, and modern developer tooling.

Currently working as a Full-Stack Intern at OneInfo.AI, building async ingestion pipelines and GraphQL APIs

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CONTRIBUTIONS

Public contribution graph for @Ashutosh3678

 

TECH STACK

C++
SQL
HTML
CSS
Flask
Orc
FB
LC
Hrk
Rnd

FEATURED PROJECTS

RFP Management Automation System

RFP Management Automation System

A Retrieval-Augmented Generation (RAG) system that semantically retrieves and analyzes proposal documents using vector-based similarity search, with an end-to-end pipeline for document ingestion, chunking, and context-grounded LLM responses to generate accurate summaries and cross-proposal insights.

Python
LangChain
RAG
Pinecone
LLM
Vector Search
Deepfake Detection System

Deepfake Detection System

A deepfake detection pipeline using deep learning and computer vision techniques to identify manipulated facial media from images and videos, with preprocessing, feature extraction, and CNN-based model training for classification of authentic vs synthetic content.

Python
Deep Learning
CNN
Computer Vision
Flask

EXPERIENCE

Full-Stack Intern — OneInfo.AI

Hyderabad

Feb 2026 - Present

Building backend systems and product features for a production app, with a focus on async pipelines, API performance, and data modeling.

  • Engineered an asynchronous product ingestion pipeline for a production app, decoupling scraping from API requests and reducing average response time from 2.5s to less than 1s.
  • Identified and eliminated backend bottlenecks caused by synchronous scraping by introducing background job processing and a queue-based architecture.
  • Optimized MongoDB schema design and query patterns, reducing redundant reads and improving data retrieval performance by 30%.
  • Designed and implemented GraphQL schemas and resolvers to efficiently serve nested data, minimizing over-fetching and improving API efficiency.
  • Integrated third-party APIs and developed wallet payout systems for creator stores, handling transaction flows, validation, and failure scenarios.
Node.js
GraphQL
MongoDB
Queues
REST APIs
Third-party APIs

Web Development Intern — Brain O Vision Solutions

Hyderabad

Feb 2025 - May 2025

Worked on Shopify-based eCommerce stores, improving UI consistency, navigation, checkout flows, and overall store performance.

  • Customized Shopify themes using Liquid templating, improving UI consistency and enhancing product discovery across devices.
  • Optimized product collections and navigation structure, enabling faster browsing and better user engagement.
  • Configured secure payment gateways and streamlined checkout workflows, reducing friction in the transaction flow.
  • Enhanced overall store performance and responsiveness, supporting scalable eCommerce operations.
Shopify
Liquid
JavaScript
HTML
CSS
Payment Gateways

ACHIEVEMENTS & EDUCATION

Achievements & Certifications

  • Winner - Zignasa National Level Hackathon
    Dec 2024

    Won first place at the Zignasa national level hackathon.

  • Runner-up - Project Expo
    Jun 2025

    Secured runner-up position at the Project Expo.

  • Supervised Machine Learning

    Stanford Online (Coursera)

  • AI Foundations Associate

    Oracle University

Education

  • MLR Institute of Technology
    CGPA: 8.78

    B.Tech in Computer Science (Data Science)

    Sep 2023 - Sep 2027

LET'S WORK TOGETHER

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