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Software Engineer
Nirvika
Rajendra
Backend Systems · REST APIs · Cloud · Fintech

2.5+ years building scalable backend systems, microservices, and data workflows for financial and data-intensive platforms. Python · .NET Core · Node.js · AWS.

Available for OPT Employment — STEM Extension Eligible
// 01 — about

Who I Am

I'm a Software Engineer with 2.5+ years of experience building high-performance backend systems for financial and data-intensive platforms. My core strength is in backend engineering — scalable REST APIs, microservices architecture, and cloud deployments that handle real-world scale.

At LTIMindtree, I worked on a core banking platform for an Australian fintech client Credit Corp Group(CCG) — integrating payment APIs, building transaction workflows, and designing microservices that reduced security risks by 70% and improved query performance by 45%.

Completed my Master's in Data Science at UMBC (GPA 3.9/4.0), where I also built automation pipelines processing 34,000+ records on AWS. Actively seeking full-time backend SDE roles — eligible for OPT with STEM extension.

2.5+
Years Experience
45%
Query Speed Gain
34K+
Records Automated
3.9
GPA at UMBC
// 02 — skills

Tech Stack

Languages & Frameworks
Python C# / .NET Core Node.js JavaScript FastAPI Express.js REST APIs GraphQL ASP.NET Core Web API
Backend & System Design
Microservices Architecture Distributed Systems High-Throughput Workflows JWT Authentication Async / Sync APIs Structured Logging Observability Performance Optimization
Databases
SQL Server (MSSQL) PostgreSQL MongoDB Redis Pinecone FAISS Entity Framework Core
Cloud & DevOps
AWS Docker CI/CD Pipelines Azure / Azure DevOps GitHub Actions Octopus Deploy Git
Engineering Practices
Unit & Integration Testing NUnit / Postman Agile / Scrum Code Reviews Error Handling Jira / TFS
// 03 — experience

Work History

Digital Repository Intern
Jun 2024 – Present
University of Maryland, Baltimore County — Remote
  • Designed Python automation pipelines processing 34,000+ scholarly records, reducing manual effort by 70% and ensuring high data reliability.
  • Deployed resilient, scalable services on AWS with Docker and CI/CD pipelines, improving throughput by 40%.
  • Applied AI-assisted workflows for data cleaning, error handling, and process optimization across large-scale datasets.
  • Maintained observability and data integrity across pipeline stages to support institutional reporting.
Software Engineer
Aug 2021 – Nov 2023
LTIMindtree · Client: Credit Corp Group, Australia — Bengaluru, India
  • Built high-performance .NET Core backend services for a core banking platform handling high-volume transactions, payment workflows, and financial ledger operations.
  • Integrated Episode Six APIs for card issuance, transaction authorization, settlement, reconciliation, and interest accrual logic.
  • Designed secure microservices and REST APIs with optimized SQL Server queries — improved execution time by 45%, reduced security vulnerabilities by 70%.
  • Built CI/CD pipelines with Octopus Deploy and Azure DevOps, enabling zero-downtime biweekly releases and cutting deployment time by 40%.
  • Implemented JWT authentication, structured logging, monitoring pipelines, and production support for fault-tolerant services.
  • Executed unit and integration testing with NUnit and Postman, increasing test coverage and reliability by 40%.
  • Delivered consistently in Agile/Scrum with 100% on-time sprint completion across 2+ years.
// 04 — projects

What I've Built

Backend · Full-Stack
Job Application Tracker
Full-stack job tracking platform with GitHub OAuth authentication, multi-user access, real-time status filtering, and a live stats dashboard with color-coded pipeline visibility.
Node.js Express.js MongoDB GitHub OAuth Render
Backend · API
Personal Finance Tracker
Secure backend platform with JWT authentication, relational schema for income/expense tracking, containerized with Docker, and CI/CD via GitHub Actions. Real-time spending dashboards.
FastAPI PostgreSQL Docker GitHub Actions JWT
Data Science · ML
Student Start-up Success Analysis
Analyzed 2,100+ student-led start-ups across 40 institutions. Feature engineering, EDA, predictive modeling with Scikit-learn, and an interactive Streamlit dashboard for mentorship decisions.
Python Pandas Scikit-learn Streamlit
Big Data · Analytics
LinkedIn Job Market Analysis
Processed 1.3M+ job listings using Apache Spark and Hive to extract labor market trends. Created Power BI dashboards guiding 100+ HR managers in hiring strategy.
Apache Spark Hive Power BI Python
Fintech · Analytics
Portfolio & Volatility Modelling
Modeled financial risk and returns using statistical analysis and feature engineering. Built interactive Gradio dashboards for real-time portfolio performance and market risk evaluation.
Python Gradio Statistics
ML · Fintech
Credit Card Fraud Detection
EDA on 284K+ transactions to identify fraud patterns. Handled class imbalance with SMOTE and visualized detection trends. Strong domain overlap with financial backend work.
Python Pandas SMOTE Scikit-learn
// 05 — education

Academic Background

Master of Professional Studies in Data Science
University of Maryland, Baltimore County · Jan 2024 – Dec 2025
Coursework: Data Management, Big Data & Platforms, Machine Learning, Financial Data Science, Project Management.
Capstone: Student start-up success prediction using Python, Scikit-learn & Streamlit.
3.9
GPA / 4.0
Bachelor of Engineering in Computer Science
Dayananda Sagar Academy of Technology & Management, VTU · Aug 2017 – Jul 2021
Foundations in DSA, OOP, Software Engineering, Cloud Computing, DBMS.
Published: Computer Vision Based Mouse Control Using Object DetectionView Paper
8.72
CGPA / 10
// 06 — certifications

Certs & Learning

AZ-900: Microsoft Azure Fundamentals
Udemy
Oct 2025
View Certificate
SQL for Data Science
Coursera
2023
View Certificate
// 07 — contact

Let's Connect

Open to full-time backend SDE roles in the US. Available immediately on OPT with STEM extension eligibility. Response time: under 24 hours.

nirvikarajendra16@gmail.com LinkedIn GitHub +1 (667) 419-0681