My first exposure to professional life through internship has benefited me mostly in strengthening my personal skills. I have developed a positive attitude and a strong sense of responsibility being innovative , resourceful, open and responsive to change.
I'm Aayush Kumar & I'm from Bihar . I'm an engineering graduate from S.R.M UNIVERSITY KTR CHENNAI Specilaization in Computer Science software engineer. I've worked hard in my education & maintained a CGPA of 9.05 . Along with my degree I've completed Java, SQL and Full Stack Courses online.Now I'm ready to apply my knowledge into practice.Though I do not have any real life working experience, I've had a lot of exposure to the software field. My Goal is to build a successfull career as a Full Stack Developer.
Read MoreProficient in applying data structures and algorithmic techniques to solve complex computational problems efficiently. Experienced in designing and implementing optimal solutions with a focus on time and space complexity. Skilled in a variety of structures (arrays, linked lists, stacks, queues, trees, graphs) and algorithms (sorting, searching, dynamic programming, greedy algorithms).
Experienced in Java for building robust, object-oriented applications. Proficient in core Java concepts such as OOP principles, exception handling, multithreading, and collections. Skilled in using Java frameworks and libraries to develop scalable applications, with a focus on clean, maintainable code.
Proficient in building end-to-end web applications with a strong foundation in both front-end and back-end technologies. Experienced with front-end frameworks (e.g., React, Angular) and responsive design practices, creating user-friendly interfaces. Skilled in back-end development using languages such as Java (Spring Boot), Node.js, or Python, and managing databases (SQL, NoSQL).
Architected a revolutionary blood management platform that bridges the gap between donors and recipients through real-time inventory tracking. Implemented secure authentication, interactive dashboards, and an emergency alert system that reduced response time by 40%. Built with React, Node.js, and MongoDB to ensure seamless scalability and responsive performance.
Engineered an intuitive agricultural management solution that empowers farmers with data-driven insights. Features include interactive crop mapping, AI-powered yield prediction, real-time weather integration, and a marketplace connecting farmers directly to buyers. Built using Java Spring Boot with a React frontend, improving agricultural productivity by 25% in pilot programs.
Created an addictive multiplayer Hungry Hippo game using JavaScript and Canvas API with physics-based animations. Implemented realistic marble movements, collision detection, and competitive scoring system. Features include customizable hippo characters, power-ups, and progressive difficulty levels that keep players engaged through 5+ levels of hippo-feeding frenzy.
Developed a comprehensive wildlife monitoring application that uses machine learning to identify endangered species from camera trap images. Built with Python, TensorFlow and Flask, this platform achieved 94% accuracy in species recognition. Includes interactive mapping, population tracking dashboards, and a citizen science reporting module that's currently being used by three conservation organizations.
Designed a sophisticated sentiment analysis engine that processes social media feeds and customer reviews to extract actionable business insights. Using NLP and machine learning algorithms, Spantia can detect emotional undertones, identify trending topics, and generate visual sentiment reports. Achieved 87% accuracy in sentiment classification across multiple domains and languages.
Engineered the e-Lab SRM chatbot assistant that revolutionized coding education for over 5,000 SRM University students. This AI-powered platform provides personalized coding assistance, interactive debugging help, and adaptive learning paths tailored to individual skill levels. Implemented using Python, NLTK, and integrated with GitLab to offer real-time code assessment and improvement suggestions.
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Advanced certification in machine learning on AWS cloud, covering deep learning models, prediction algorithms, and data processing pipelines. Mastered implementing scalable ML solutions using Amazon SageMaker, comprehension services, and AI-driven analytics tools.
Expert-level certification in Oracle's Vector AI technologies, covering neural networks, vector embeddings, and large language model integration. Demonstrated proficiency in implementing vector databases, similarity search algorithms, and AI-driven analytics solutions in enterprise environments.
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Comprehensive certification covering AWS cloud architecture fundamentals, including compute services, storage solutions, networking, security best practices, and cost optimization. Demonstrated ability to design resilient cloud infrastructures and implement serverless applications at scale.
Elite certification from India's premier technical education platform, covering advanced algorithms and data structures. Completed rigorous programming assignments and scored in the top percentile in this highly competitive course offered by IIT Kharagpur faculty.
Foundational certification in Oracle Cloud Infrastructure, covering core services, architecture principles, and deployment models. Demonstrated expertise in implementing OCI solutions, including compute, storage, networking, identity management, and database services in enterprise environments.
Recognition for participation and achievement in India's largest hackathon organized by the Government of India. Developed an innovative technological solution addressing real-world problems in a competitive 36-hour coding sprint, collaborating with a cross-functional team to deliver a working prototype.