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Aditya Maheshwari

Software Engineer

San Jose, California, United States5 yrs 4 mos experience
Most Likely To Switch

Key Highlights

  • Developed fraud detection tools saving millions annually.
  • Engineered machine learning models for financial technology.
  • Strong academic background with a 3.97 GPA.
Stackforce AI infers this person is a Fintech Software Engineer specializing in Machine Learning and Fraud Detection.

Contact

Skills

Core Skills

Software EngineeringMachine LearningData Science

Other Skills

AlgorithmsAngularJSApplication DevelopmentAutomationC (Programming Language)C++CSSCascading Style Sheets (CSS)Cloud ApplicationsCode ReviewCommunicationData AnalysisData AnalyticsData IntegrationData Management

About

I am a passionate Software Engineer at PayPal, in the Compliance's Global Financial Crime Investigation team. In my role as a full-stack developer, I harness the power of software engineering, Machine Learning, and Artificial Intelligence to develop cutting-edge solutions that address financial crimes effectively. My academic background, with majors in Computer Science, Mathematics (Data Science), and Business from the University of Massachusetts Amherst, has provided me with a well-rounded and robust skill set. This diverse education, combined with hands-on experience, fuels my enthusiasm for backend engineering, AI, ML, and financial technology. My professional journey is characterized by a relentless pursuit of excellence and strategic acumen. I am a hard worker, determined, ambitious, and goal-oriented, constantly striving to achieve high standards in all my endeavors. Whether I'm developing sophisticated machine learning models or crafting efficient software solutions, I approach every challenge with a creative mindset and a commitment to success. My journey is a testament to my determination, innovative problem-solving abilities, and dedication to leveraging technology to make a significant impact in the financial technology sector and beyond. Interests: Backend Engineering, AI, ML, and Financial Technology Languages: Java, Python, Javascript, R, MongoDB, Oracle, SQL, NoSQL, HTML/CSS, MATLAB, C/C++ Frameworks and Developer Tools: React, Node.js, Git, GCP, AWS, PyCharm, IntelliJ, Flask, Angular, Express Machine Learning: Gemini, PyTorch, Scikit-learn, Tensorflow Systems and Dev Tools: Jenkins, GCP, AWS, Kubernetes, Docker you may contact me at adityamahesh@umass.edu or +1(413)210-6612

Experience

5 yrs 4 mos
Total Experience
1 yr 4 mos
Average Tenure
3 yrs
Current Experience

Paypal

2 roles

Software Engineer

Jun 2023Present · 3 yrs · San Jose, California, United States · On-site

  • Created robust and auditable tool for fraud science teams to facilitate currency conversion and money sweeping involving 100Ks of accounts, returning approximately $160M annually from fraudsters to defrauded accounts. This mitigates litigation risks and achieves savings of around $10M
  • Upgraded internal tools along with FTPI, SPARK, and Salesforce integration to allow front and back-office teams and staff to create and process thousands of escalation and data access tickets every month saving $5M every year
  • Orchestrated an automated third-party integration with NCMEC, facilitating the reporting of 2000 annual child exploitation cases to law enforcement. Significantly reducing investigator workload by hundreds of hours
  • Engineered a Chat assistant utilizing LLMs to support front office teams in processing case descriptions, selecting the suitable back office team, and automating the population of form information for streamlined case creation.
JavaSpringData AnalysisMachine LearningFraud DetectionSoftware Engineering

SWE Intern

Jun 2022Aug 2022 · 2 mos · San Jose, California, United States

  • Developed a data connector using Java and Spring to extract and upload 3.5 million case management logs for process mining, a technique to discover, monitor, and improve real processes using event logs
  • Automated the movement of thousands of new compliance case logs generated every day by task scheduling the connector resulting in efficient upload for process mining to Celonis(Third-party software)
  • Provided process model, graphical representation of the workflow, and simulation of the case data using process mining which would increase the efficiency of the management system
JavaSpringData ManagementSoftware Engineering

University of massachusetts amherst

3 roles

Undergraduate Course Assistant - CS446, Search Engines

May 2022May 2023 · 1 yr

  • Course assistant for CS 446 (Search Engines) in Fall 22, one of the upper-level CS electives about search engines and information retrieval.
  • Worked closely with the professor by designing and grading exams, projects, and in-class exercises
  • Helped students with their project assignments and final project submissions
  • Answered student queries and doubts in labs and online forums for a class of 160 students.

Undergraduate Course Assistant - CICS 256, Introduction to Physical Computing

Promoted

Feb 2022May 2022 · 3 mos

  • Course assistant for CICS 256 (Make: a hands-on introduction to physical computing) in Spring 22, one of the computer science lab classes
  • Worked closely with the professor by designing and grading exams, labs, and in-class exercises
  • Helped students with their lab assignments and final project submissions
  • Answered student queries and doubts in labs and online forums for a class of 40 students.

Software Developer - BUILD UMass

Sep 2021May 2022 · 8 mos

College of information and computer sciences, umass amherst

Undergraduate Research Assistant

Dec 2021Jan 2022 · 1 mo · United States

  • Worked on A Systematic Evaluation of Causal Inference Algorithms Using Constructed Observational Data under the mentorship of Doctoral Student Pracheta using data analysis tool R.
  • Implemented functions to generate synthetic data of varying complexity (non-linearity) for covariates to evaluate 7 causal inference algorithms like BART, CF, PSM, etc
  • Also added methods to quantify the complexity/ non-linearity of the synthetic data generation functions like the Pearson correlation test, Spearman's and Kendall’s rank correlation, distance correlation, and many more.
  • Evaluated the algorithms based on the sample average treatment effect (SATE) after running the algorithm 50 times on the synthetic data.
RData AnalysisData Science

Testaing.com

Machine Learning Intern

May 2021Aug 2021 · 3 mos · India

  • Collaborated with 2 interns to develop 2 machine learning pipelines for enterprise tools
  • Developed pipeline for time series data and complete concept drift system, which reduces the error by 7%
  • Implemented 4 local and 4 global explainability methods to the pipeline to provide better model interpretability
Machine LearningPipeline Development

Arevea

Software Engineer Intern

May 2021Jul 2021 · 2 mos

  • Developed an admin portal for a virtual event management business to handle events and schedules
  • Implemented various secure RESTful APIs (Web services) like generation of a relational database with schedule data and custom QR code scanner for events
Node.jsRESTful APIsSQLSoftware Engineering

Cisco

CISCO Talent Outreach Program

Jul 2018Dec 2018 · 5 mos · Bengaluru, Karnataka, India

  • Led my team to establish a website and an app for the library, which allowed students and teachers to view and reserve books and other research papers.
  • Managed the weekly meetings on Skype, minutes of the meetings, the targeted deliverables, and the follow-ups-all, familiarizing me with the professional traits in disparate corporate environments.
  • Our mentor appreciated my leadership skills, as I ensured that each stage of the code was completed on time and brainstormed for creative and actionable solutions.

Education

University of Massachusetts Amherst

Bachelor of Science - BS — Computer Science and Mathematics (Data Science)

Sep 2020May 2023

Isenberg School of Management, UMass Amherst

Minor in Business — Business

Aug 2020May 2023

Delhi Public School Bangalore East

CBSE — High School

Jun 2016May 2020

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