I am a Software Engineer and Data Analyst with expertise in full-stack development, specializing in Java, Scala, C++, and Python. My focus is on building scalable APIs, optimizing databases through SQL/NoSQL tuning, and leveraging cloud technologies. I am proficient in AWS, Docker, and CI/CD with Jenkins to ensure efficient deployment pipelines, data processing, and high system reliability.

Software Engineer Intern
Scienaptic AI
08/2022 – 08/2023

• Enhanced Scienaptic’s AI-driven credit underwriting platform by implementing efficient back-end logic and responsive front-end features.
• Improved processing efficiency by 15% by optimizing complex queries and code structures in large-scale graph databases, leading to faster data retrieval and processing.
• Designed, implemented, and validated scalable APIs to integrate real-time data pipelines for financial institutions, reducing loan approval time by 30% and ensuring seamless functionality across services, using Postman for testing.
• Integrated machine learning models into the decisioning platform, enhancing predictive accuracy and risk management.
• Conducted performance tuning and stress testing on the credit assessment pipeline, ensuring system reliability and scalability under high transaction loads.
• Built and maintained CI/CD pipelines to streamline deployment processes, reducing manual intervention and improving code delivery speed by 20%.
• Collaborated with cross-functional teams to translate business requirements into technical solutions, ensuring compliance with industry standards and regulations.

Tech Stack: Java, Scala, Play Framework, Cassandra, JanusGraph, Gremlin, Postman

Summer Research Intern
New York University (NYU)
06/2022 – 07/2022

• Project Title: Additive Manufacturing Cybersecurity
• Topic: Direct Digital Manufacturing with 3D Printing - Designing for Security
  Secured/encrypted CAD files and addressed vulnerabilities in additive manufacturing to prevent cyber-attacks. Participated in Hack3D.

Freelance Coder
Outlier AI

• Evaluated AI-generated code, developed and managed the SQL pipeline for Flamingo Coding's MultiTurn Deviations.
• Conducted performance evaluation of AI-generated code, providing feedback based on real-world use cases.
• Analyzed large datasets to extract actionable insights, enhancing model accuracy of AI applications.

Languages and Frameworks:
Java, Scala, Python, C++, C, Play Framework, .NET, HTML, CSS, JavaScript, TypeScript, ReactJS, NodeJS

Libraries:
Gremlin, JanusGraph, MongoDB, MySQL, Cassandra, AWS SDK, Rekognition, SQS, Pandas, NumPy

Tools:
Postman, Git, Docker, Kubernetes, CI/CD (Jenkins), Apache Tomcat, AWS (EC2, S3, SQS, Lambda), SQL Developer, Terraform, Maven