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Software Engineer with 2+ years in Data Annotation & Full-stack Development
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly adaptable and analytical tech enthusiast with hands-on experience in full-stack development (Java, Angular, MySQL) and specialized knowledge in ServiceNow automation (Flow Designer, Business Rules). Proven ability to build solutions that solve real-world problems, complemented by skills in project management and end-to-end account handling, seeking a challenging role to contribute, grow, and make an impact.
Anna University Trichirapalli
BE CSE · Computer Science and Engineering
August 1, 2019 – June 30, 2023
Bharathidhasanar Matric hr sec school
HSC
June 1, 2019 – May 31, 2019
Bharathidhasanar Matric hr sec school
SSLC
June 1, 2017 – May 31, 2017
Nvidia
Process Executive Data Annotator
February 1, 2026 – Present
India
Ecomm enabler (Amazon)
Account management associate
May 1, 2025 – October 1, 2025
India
Revature
Software developer
April 1, 2024 – March 1, 2025
India
Autonomous Vehicle Data Annotation & Validation (AV/LLM)
January 1, 2026 – Present
Worked on large-scale data annotation and validation for autonomous driving systems, focusing on real-world traffic scenarios and behavioral analysis of vehicles. Annotated and validated complex driving scenarios including unprotected left/right turns, U-turns, and lane-based maneuvers. Performed traffic signal analysis covering green, red-light compliance, and intersection behavior. Handled multiple workstreams such as Auto COT, XQA, DPV, and relevancy checks to ensure data accuracy and consistency. Worked on construction zone scenarios, identifying dynamic road changes and vehicle responses. Analyzed Vulnerable Road Users (VRU) including pedestrians and cyclists for safety-critical scenarios. Validated non-compliant/abnormal vehicle behavior, especially foreign driving patterns and traffic violations. Ensured high-quality annotations to support AI/ML model training and autonomous system performance.
Razorpay Payment Integration for Product Store using Node.js
January 1, 2025 – December 31, 2025
Developed a lightweight web application that displays a list of 10 products with prices using HTML and CSS. Integrated Razorpay for secure online payments. Upon successful payment, transaction details such as order ID, payment ID, and product name are captured and stored in a MySQL database using a Node.js backend. Tools & Technologies Used: Frontend: HTML, CSS, JavaScript; Backend: Node.js, Express.js; Database: MySQL; Payment Gateway: Razorpay
RevTask Management (Angular, Spring Boot, SSMS)
January 1, 2024 – December 31, 2024
A full-stack web application designed to manage tasks among team members. Implemented the frontend using Angular and the backend using Spring Boot, connected with SSMS database. The system includes three roles: project manager, admin, and team member.
Driver Driving Performance and Risk Analysis Using Deep Learning Model
January 1, 2023 – December 31, 2023
(Python, Deep Learning) A safety-focused project that detects inattentive driving behaviors using a windshield camera. Images are converted to grayscale and analyzed using FRCNN to classify behaviors like calling, texting, looking behind, and sleeping. The system sends alerts or notifications for both driver and owner.
Hospital Management System (ServiceNow)
January 1, 2023 – December 31, 2023
Developed a ServiceNow-based portal for hospital management involving three user roles: patient, receptionist, and doctor. Used ServiceNow catalog items, workflows, flow designer, transform map, system definition.
Nykaa Pink Sale Process Automation (ServiceNow)
January 1, 2022 – December 31, 2022
Created a process automation project based on Nykaa's pink sale campaign. Included 20 variables in catalog items, 2 custom tables, and a workflows, scripts and timelines.
Cultural Fit Analysis
The candidate demonstrates a broad range of interests and adaptability through diverse projects (web development, AI/ML, ServiceNow automation, payment integration). The academic and personal projects show initiative beyond professional roles. The experience at Nvidia and Revature, coupled with the objective, suggests a desire to contribute and grow in challenging technical roles. The variety of technologies and domains explored indicates a willingness to learn and adapt, which is a positive cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, effective communication, versatility, team collaboration, and time management as soft skills. The project descriptions indicate an ability to work in team settings and manage project deliverables. The experience as a Process Executive Data Annotator at Nvidia suggests an operational fit for roles requiring meticulous data handling and collaboration. The Account Management Associate role at Amazon also points to client-facing and operational management capabilities.