Help & Supportcareers@gravityer.com
Software Engineer with less than a year in IoT, REST API, and responsive web applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Computer Science student (GPA 8.0/10) graduating June 2026, with hands-on experience building IoT systems, REST API integrations, and responsive web applications. Proficient in Java, Python, C/C++, JavaScript, SQL, Reactjs with a strong foundation in OOP, DSA, DBMS, SDLC, and Agile methodologies. Delivered projects with measurable outcomes - 95% gesture detection accuracy and 35% frontend performance improvement - following industry best practices in testing, documentation, and version control.
Shri Shankaracharya Technical Campus
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
SARASWATI VIHAR ENG MED H S SCHOOL
Class XII
N/A – May 31, 2022
Hand Gesture Controlled Car
January 1, 2025 – April 1, 2025
Achieved 95% real-time gesture detection accuracy, measured across 200+ controlled test inputs, by designing an interrupt-driven embedded algorithm in C/C++ — following full SDLC from requirements through deployment. Reduced obstacle collision rate by 40%, validated across 50 navigation cycles, by integrating ultrasonic sensors with custom collision-avoidance logic and producing technical documentation covering sensor calibration and failure modes. Enabled wireless control with sub-200ms response latency via Bluetooth serial API communication, applying software testing and debugging protocols at each integration phase. Maintained complete version history across 40+ Git commits with branch-based workflow; delivered all SDLC phases — requirements, design, implementation, testing, and maintenance — on schedule.
Rent IT - Responsive Frontend Web Application
August 1, 2024 – November 1, 2024
Improved Lighthouse performance score by 35% (61 → 82) by refactoring modular JavaScript components, eliminating render-blocking resources, and applying SDLC coding standards throughout development. Achieved cross-device compatibility across 5 breakpoints (320px-1440px), validated through systematic software testing on 8 device profiles using CSS Grid and Flexbox with documented component specifications. Integrated a third-party REST API to populate dynamic item listings, reducing manual data-entry effort by 100% using async/await fetch with structured error handling and a DBMS-aligned JSON data schema. Produced full technical documentation (README, component map, API reference) across 30+ Git commits, following Agile sprint planning with iterative delivery.
J.P. Morgan Chase Software Engineering Virtual Experience Program
Forage
October 1, 2025 – Present
Introduction to Packet Tracer
Cisco Networking Academy
May 1, 2024 – Present
Foundations: Data, Data, Everywhere
Google / Coursera
May 1, 2024 – Present
PCAP: Programming Essentials in Python
Cisco Networking Academy & OpenEDG Python Institute
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse interest in both embedded systems/IoT and web development, indicating adaptability. The certifications from various platforms (Cisco, Google, Forage) suggest a self-driven learner. The focus on measurable outcomes and documentation in projects aligns with a results-oriented and collaborative work environment. However, the lack of professional experience means cultural fit in a corporate setting is yet to be fully tested.
Soft Skills & Operational Fit
The candidate demonstrates good project management skills by adhering to SDLC, Agile sprint planning, and maintaining version history. The detailed project descriptions indicate an ability to communicate technical achievements clearly and quantitatively. The certifications suggest a proactive attitude towards learning and skill development.