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Amal Singh Bhadauria

Results-driven Software Development Engineer with 4+ years of experience in real-time data extraction and analysis, specializing in creating integrated, scalable solutions for data processing and fraud detection. Demonstrates a strong ability to enhance core data ingestion systems, improve process efficiency, and manage large-scale data for financial institutions, ensuring seamless data flows and robust compliance.
  • Role

    Software Development Engineer

  • Years of Experience

    5 years

Skillsets

  • Data Analysis
  • Perl
  • LLM
  • Java
  • HTML
  • GitLab
  • fraud detection
  • DynamoDB
  • Data Extraction
  • Linux
  • CSS
  • CI/CD
  • C++
  • C
  • Windows
  • Python
  • MySQL

Professional Summary

5Years
  • Jul, 2020 - Present5 yr 8 months

    Software Development Engineer

    Perfios Software Solutions

Work History

5Years

Software Development Engineer

Perfios Software Solutions
Jul, 2020 - Present5 yr 8 months
    Contribute to the data extraction team, enabling real-time processing for millions of records daily for diverse global clients. Enhanced the core data ingestion layer, developing scalable scripts to support multiple regions, including UAE, South Africa, and Hong Kong. Designed and implemented a robust library for handling Unicode data across various languages, allowing seamless data processing and reducing custom fixes. Identified process gaps, implementing effective enhancements to streamline data workflows. Actively mentor new team members, ensuring swift onboarding and productivity. Led cross-functional teams in delivering complex data extraction and analysis solutions, achieving on-time project completion while exceeding quality and performance standards. Streamlined team workflows by implementing structured processes and tools, which reduced project bottlenecks and improved task completion times. Managed client relationships by acting as a primary point of contact, resolving technical and operational issues, and ensuring client satisfaction with delivered solutions.

Major Projects

3Projects

Data Layer

    Responsible for extracting and generating relevant information from huge raw data uploaded by customers. Developed core data ingestion layer to power downstream systems and detect flagged transactions during extraction. Built a library to process Unicode data across languages, enabling seamless data processing and compliance.

Automated Fraud Detection & Alerts

    Developed a generic pluggable library for real-time fraud and suspicious transaction detection during data extraction. Designed and implemented a configurable framework to trigger notifications and reports, enabling enhanced logging and collaboration with sister teams.

Updated to Artificial Intelligence

    Transitioned manual data extraction processes to real-time automated pipelines using Dynamodb and Python, improving throughput by 40%. Designed an automated framework for AI-driven fraud detection integrated with LLMs, reducing manual interventions and onboarding time for new financial institutions.

Education

  • High School

    St Marys Inter College (2013)
  • Intermediate-PCM

    St Marys Inter College (2015)
  • Bachelor of Technology, Information Technologies

    New Horizon College of Engineering (2020)