Aditya Maheshwari — Software Engineer
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
Stackforce AI infers this person is a Fintech Software Engineer specializing in Machine Learning and Fraud Detection.
Location: San Jose, California, United States
Experience: 5 yrs 4 mos
Skills
- Software Engineering
- Machine Learning
- Data Science
Career Highlights
- Developed fraud detection tools saving millions annually.
- Engineered machine learning models for financial technology.
- Strong academic background with a 3.97 GPA.
Work Experience
PayPal
Software Engineer (3 yrs)
SWE Intern (2 mos)
University of Massachusetts Amherst
Undergraduate Course Assistant - CS446, Search Engines (1 yr)
Undergraduate Course Assistant - CICS 256, Introduction to Physical Computing (3 mos)
Software Developer - BUILD UMass (8 mos)
College of Information and Computer Sciences, UMass Amherst
Undergraduate Research Assistant (1 mo)
testAIng.com
Machine Learning Intern (3 mos)
Arevea
Software Engineer Intern (2 mos)
Cisco
CISCO Talent Outreach Program (5 mos)
Education
Bachelor of Science - BS at University of Massachusetts Amherst
Minor in Business at Isenberg School of Management, UMass Amherst
CBSE at Delhi Public School Bangalore East