Software Development Engineer with 6+ years of experience designing and implementing scalable, high-performance software solutions. Expertise in Python, Django, Flask, and React to develop robust, efficient web applications. Proficient in AWS cloud architecture, Docker, Kubernetes, and real-time data streaming with Kafka, delivering fault-tolerant and secure systems. Adept at collaborating in Agile environments, streamlining workflows through automation and modern DevOps practices, and crafting impactful APIs for seamless data integrations.
Overview
5
5
years of professional experience
Work History
Software Development Engineer
VIRTUAX TECHNOLOGIES
01.2022 - 12.2023
Company Overview: Client: PennyMac
Architected Python apps for mortgage workflows, streamlining origination, servicing and business operations via automation, reducing manual tasks
Designed AWS cloud architectures using EC2, S3, Lambda, and RDS, ensuring fault tolerance, high availability, and seamless scalability in production
Built RESTful APIs using Flask and SQL Alchemy, integrating PostgreSQL/MySQL, ensuring security standards and seamless database operations
Integrated React components with RESTful APIs, ensuring seamless data flow and real-time updates while optimizing performance and load times
Developed enterprise apps in Django with MVC architecture, optimizing data-heavy workflows using redis caching and asynchronous task execution
Automated containerization using Docker and orchestrated deployments on Kubernetes, streamlining CI/CD pipelines to reduce deployment times
Applied Kafka for real-time data streaming, designing producers and consumers for high-throughput pipelines, ensuring fault tolerance and scalability
Worked with QA/DevOps teams to deliver production-ready solutions, maintaining code quality while adhering to Agile workflows for rapid iteration
Client: PennyMac
Software Engineer
VIRTUAX TECHNOLOGIES
02.2019 - 12.2021
Company Overview: Client: Ally Bank
Developed scalable web apps with Django and Flask, utilizing MVC architecture to ensure efficient server-side processing and maintainable codebases
Architected an intranet portal for Amazon EC2 management using Python, Tornado, and MongoDB, ensuring dynamic backends and high availability
Designed intuitive React.js frontends with hooks and component-based architecture, optimizing state management for enhanced user experiences
Created database-driven applications with Django ORM, optimizing SQL queries and refining PL/SQL stored procedures for high-demand workloads
Implemented secure RESTful APIs using Django-REST framework, incorporating advanced authentication mechanisms (MFA and OAuth protocols)
Enhanced application reliability by implementing Redis caching for session storage and query results, reducing server load and improving data retrieval
Migrated monolithic applications to microservices architecture, leveraging Docker and Kubernetes for container orchestration and enhanced scalability
Collaborated with cross-functional teams to integrate event-driven architectures using Kafka, enabling real-time data processing and communication
Client: Ally Bank
Full Stack Developer Intern
VIRTUAX TECHNOLOGIES
08.2018 - 01.2019
Developed scalable backend systems using Python frameworks such as Django, Flask, and FastAPI, ensuring scalable and maintainable architectures
Designed and implemented RESTful and GraphQL APIs to enable seamless communication between distributed systems and front-end interfaces
Optimized backend application performance through database indexing, caching with Redis, and asynchronous programming with asyncio and Celery
Led data modeling and schema design for relational databases (PostgreSQL, MySQL) to handle complex relationships and ensure data consistency
Integrated third-party APIs and SDKs, including payment gateways, cloud storage providers, and messaging services, to expand application capabilities
Deployed and monitored Python backend apps on AWS (EC2, Lambda, S3), implementing fault tolerant architectures to ensure high availability
Education
Master of Science - Computer Science (Information Studies)
TRINE UNIVERSITY
05.2025
Bachelor’s - Civil Engineering
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY
12.2018
Skills
Python
JavaScript
SQL
R
PL/SQL
Shell Scripting
Perl
Django
Flask
FastAPI
Pyramid
JQuery
Angular
ReactJS
MySQL
PostgreSQL
MongoDB
DynamoDB
Cassandra
Redis
Oracle
Beautiful Soup
NumPy
SciPy
Matplotlib
Seaborn
TensorFlow
PyTorch
PySpark
Scikit-learn
Git
GitHub
Bitbucket
SVN
Jira
Bugzilla
Agile
Waterfall
PyCharm
Visual Studio
Eclipse
IntelliJ IDEA
Projects
Machine Learning Project: Predictive Analytics for Student Performance, Engineered a machine learning model with Scikit-learn and TensorFlow, analyzing attendance, grades, and participation to predict student outcomes. Leveraged Pandas for data preprocessing and Matplotlib for insight visualization, improving intervention planning and decision-making efficiency. Artificial Neural Networks: Image Classification System, Designed an image classification system using CNNs with TensorFlow and Keras, classifying datasets like CIFAR-10 with optimized accuracy. Utilized OpenCV for preprocessing images and applied model optimization techniques to enhance training speed and computational efficiency.