PARAS ATAL

Software Engineer

Pune, Maharashtra, India7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built a drone-based waste detection system.
Grown an audience of 150k+ on Instagram.
Mentored over 1000 students in tech.

Stackforce AI infers this person is a Software Engineer with a focus on Fintech and AI technologies.

Contact

Skills

Core Skills

Software DevelopmentCybersecurityWeb DevelopmentAi ResearchMachine Learning

Other Skills

JavaSpring BootRegression TestingCode QualityAngularSeleniumRest AssuredAI/MLPythonTensorFlowOpenCVSystem DeploymentPersonal BrandingBusiness AnalysisAdvertising

About

🚀SDE @ BNY Mellon | Samsung AI Intern | Creator with 150k+ followers 🎯 Building impact through code, content, and community. Hi, I’m Paras — a full-time Software Engineer at BNY Mellon and an active creator helping thousands of students break into tech. In the past year, I’ve: 🔹 Interned twice at BNY (Summer + Winter), earning a PPO and now working as an SDE1 🔹 Worked at Samsung R&D on cutting-edge AI research 🔹 Completed an AI Apprenticeship at Hyperverge 🔹 Grown an audience of 130K+ on Instagram by sharing actionable content on jobs, internships, and career growth 🔹 Mentored 1000+ students via webinars, Topmate 1:1s, and resume/interview prep 🔹 Built projects like SkySweeper – a drone-based waste detection system using YOLOv8 & Jetson Nano 💻 Tech I work with: Java, Spring Boot, Python, Selenium, Rest Assured, Angular, YOLOv8, Jetson Nano 📈 Topics I speak on: LinkedIn optimization, personal branding, resume revamp, off-campus strategies,AI and Tech, college life journey If you're building your career in tech or content — I’d love to connect, collaborate, or just share stories. 📬 DM me or book a 1:1 session via topmate.io/paras

Experience

Bny

3 roles

Software Development Engineer

Aug 2025 – Present · 7 mos · Pune, Maharashtra, India · On-site

Software Development Engineer Intern

Jan 2025 – Jun 2025 · 5 mos · Chennai, Tamil Nadu, India · On-site

1.Resolved high-priority security vulnerabilities in the Customer File Interaction (CFI) application by analyzing Veracode and Ethica reports, leading to a significant improvement in cybersecurity compliance.
2.Contributed to the Daylight Overdraft (DOD) reporting application, leading the Spring Boot version upgrade and ensuring a stable QA deployment with backward compatibility.
3.Spearheading SonarQube integration, regression testing, and final pre-production QA to ensure a smooth and high-quality production release.
4.Maintained a strong focus on code quality, performance optimization, and deployment readiness in an enterprise-level fintech environment.

JavaSpring BootCybersecurityRegression TestingCode QualitySoftware Development

Software Development Engineer intern

Jun 2024 – Aug 2024 · 2 mos · Chennai, Tamil Nadu, India · On-site

1.Contributed to the development of the Customer File Interaction (CFI) web application, enhancing internal client interfaces for secure file processing.
2.Worked across the full technology stack, gaining hands-on experience with Angular, Java Spring Boot, and backend integration.
3.Developed and automated end-to-end test cases using Selenium, Rest Assured, and Cucumber, improving test coverage and reliability.
4.Collaborated with cross-functional teams and stakeholders, strengthening skills in agile development, code reviews, and quality assurance.

AngularJavaSpring BootSeleniumRest AssuredSoftware Development+1

Samsung r&d institute india

Research Intern

Aug 2023 – Mar 2024 · 7 mos · India · Remote

1.Conducted AI/ML research under the Samsung PRISM program, focused on solving real-world problems using deep learning and computer vision.
2.Collaborated with a team of researchers and engineers to explore innovative applications of neural networks and image processing techniques.
3.Contributed to dataset curation, model training, and evaluation using tools like Python, TensorFlow, and OpenCV.
4.Assisted in drafting the final research deliverables and presentations reviewed by Samsung R&D India mentors.

AI/MLPythonTensorFlowOpenCVAI ResearchMachine Learning