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AI Engineer with 2+ years in Full-Stack Development & Machine Learning
Results-driven Computer Science student specializing in Artificial Intelligence and Data Science, with proven expertise in Java, Python, JavaScript, and Dart. Demonstrated experience in developing and launching production software on Google Play by integrating machine learning, web services, and Generative AI. Highly proficient in Flutter for cross-platform engineering, equipped with a strong background in writing automated unit tests using JUnit and utilizing AI-assisted tools to produce clean, maintainable code. Consistently engaged in coding challenges and hackathons to sharpen algorithmic problem-solving abilities. Seeking an Associate Software Engineer position to deliver scalable, high-quality technical solutions within a collaborative, Agile environment.
Dr. A. P. J. Abdul Kalam Technical University
B.Tech · Artificial Intelligence and Data Science
February 1, 2023 – May 31, 2026
Jamia Millia Islamia
Diploma · Computer Science
October 1, 2019 – January 31, 2023
Independent Full-Stack Developer
Independent Full-Stack Developer
January 1, 2024 – Present
India
Jobbify
March 1, 2025 – June 30, 2026
Developed a hybrid Flutter application to aggregate over 10,000 live job listings via JSearch, Adzuna, and Naukri API integrations, offering advanced user-configurable filters. Implemented Claude AI algorithms to flag fraudulent job listings with an expected 90% precision rate and integrated Apache POI for structured Excel data export. Architected a modular MVC structure with over 20 reusable custom widgets, ensuring a scalable codebase and establishing a targeted app store deployment pipeline.
ISLens
January 1, 2025 – April 30, 2025
Programmed and launched a production mobile software solution, achieving 96% accuracy in real-time recognition of 26 Indian Sign Language alphabets using a custom machine learning classifier and advanced computer vision frameworks. Embedded Google ML Kit to deliver translation across 58 languages and text-to-speech capabilities, improving accessibility and scaling the system to support over 500 potential global users. Authored over 45 JUnit and Espresso unit test cases to cover detection accuracy and UI flows, achieving 85% code coverage and reducing post-release defects by 30%. Executed full Play Store deployment, including APK signing, release track configuration, and Console promotion from closed testing to production.
Convosphere
September 1, 2024 – March 31, 2025
Engineered a real-time Android messaging platform with two-factor authentication via OTP, optimizing Firebase Realtime Database schemas to support over 1,000 concurrent user sessions. Crafted adaptive Material Design UI components tailored for more than 15 screen resolutions, guaranteeing a consistent 60 FPS rendering performance across diverse devices. Conducted rigorous peer code reviews throughout the development cycle, resolving over 30 edge-case defects and enforcing best practices in maintainable software architecture.
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards innovative and impactful solutions, particularly in accessibility (ISLens, Smart India Hackathon) and job search (Jobbify). This suggests a candidate who is driven by purpose and interested in leveraging technology for social good, which can be a strong cultural fit for organizations valuing innovation and societal impact. The diverse tech stack used across projects (Flutter, Java, Node.js, AI/ML frameworks) indicates adaptability and a willingness to learn new technologies. The competitive programming and hackathon participation suggest a proactive and continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through competitive programming and hackathon achievements. Their project descriptions highlight attention to detail, quality assurance (unit testing, code reviews), and a results-driven approach (e.g., 96% accuracy, 30% defect reduction). The experience as an Independent Full-Stack Developer suggests self-motivation, client management, and project delivery capabilities. The emphasis on collaborative, Agile environments in their summary aligns with modern development practices.