A

Ansh kumar

AI Researcher

Saharanpur, Uttar Pradesh, India3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed a full-stack education platform reducing server response times by 40%
  • Achieved 85% accuracy in a Diabetes Prediction Website using ML
  • Solved over 770 coding problems with a 92% success rate
Stackforce AI infers this person is a Fullstack Developer with a focus on Web Development and Data Science.

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Skills

Core Skills

Machine LearningDeep Neural Networks (dnn)React.jsFront-end Development

Other Skills

API DevelopmentAlgorithm DesignC (Programming Language)C++CloudinaryCommunicationData ScienceData StructuresDatabase Management System (DBMS)Express.jsGenerative AI and Large Language Models (LLMs)JavaScriptMathematics for MLMongoDBNetworking and Communication

About

I am a passionate and driven BTech Computer Science student with a strong foundation in web development, data science, and algorithmic problem-solving. I am committed to applying my technical expertise to create innovative solutions that address real-world challenges. My academic journey has equipped me with proficiency in the MERN stack, JavaScript, TypeScript, and Python, as well as tools like NumPy and Pandas for data analysis. In my projects, I have demonstrated the ability to combine technical skills with creativity to deliver impactful results. For instance, I developed a full-stack education platform leveraging MongoDB, React.js, Node.js, and Cloudinary, which reduced server response times by 40%, increased user engagement by 20%, and facilitated 15 unique content submissions in its first quarter. This experience not only honed my backend optimization skills but also provided insights into user-centric design. Additionally, I created a Diabetes Prediction Website that achieved 85% accuracy using machine learning models. By integrating Flask and React, I optimized prediction times by 15%, providing users with real-time health risk assessments. My work also includes a Rubik’s Cube Solver developed in Java, employing advanced algorithms like A* and Iterative Deepening to minimize solving time, complemented by a user-friendly GUI. Beyond my projects, I am an active participant in coding challenges, having solved over 770 problems on platforms like LeetCode with a 92% success rate. These experiences have strengthened my grasp of data structures, algorithms, and software engineering principles, enabling me to deliver efficient and scalable solutions. My commitment to continuous learning extends to data science, where I have gained proficiency in statistical analysis, data visualization with Matplotlib and Seaborn, and database management using SQL. These skills allow me to uncover actionable insights and integrate data-driven decision-making into my work. I am eager to connect with professionals and organizations that share my vision of leveraging technology for societal benefit. My goal is to contribute to projects that challenge my skills while creating meaningful impact, particularly in education technology and data-driven platforms. Let’s collaborate to bring innovative ideas to life. Feel free to reach out to discuss potential opportunities or shared interests!

Experience

3 mos
Total Experience
3 mos
Average Tenure
--
Current Experience

Amazon

Selected Participant, Amazon ML Summer School 2025

Aug 2025Sep 2025 · 1 mo · Online · Remote

  • Selected participant in Amazon’s prestigious Machine Learning Summer School — a highly competitive program for top engineering students in India.
  • Completed intensive, industry-led training on core ML concepts: supervised & unsupervised learning, deep learning, large language models, and generative AI.
  • Participated in expert-led lectures, interactive Q&A sessions, and hands-on assignments applying ML techniques to real-world datasets.
  • Collaborated with peers and Amazon ML scientists, gaining valuable insights into scalable ML solutions and industry best practices.
  • Strengthened technical problem-solving, teamwork, and domain expertise — skills directly relevant to cutting-edge ML applications.
  • Developed competencies aligning with future internship and career opportunities at Amazon and in the broader AI/ML industry.
Machine LearningSupervised and Unsupervised LearningDeep Neural Networks (DNN)Probabilistic Graphical ModelsGenerative AI and Large Language Models (LLMs)Reinforcement Learning+2

Pixelcraft technology(bootstraped startup)

Frontend Devloper Intern

May 2024Aug 2024 · 3 mos · Vancouver, British Columbia, Canada

  • Developed modular, responsive UI components (Login, Signup, protected routes) using React.js and Tailwind CSS, enhancing reusability and maintainability.
  • Integrated React Hook Form for seamless form management and validation, improving user experience and input reliability.
  • Structured Role-Based Routing using React Router v6 for secure navigation and access control.
  • Built a scalable state management architecture using Redux Toolkit with custom hooks.
  • Reduced load time by 35% through memoization, callback optimization, and code splitting techniques.
  • Collaborated with backend engineers on Node.js and Express.js to integrate APIs effectively.
  • Worked closely with a Senior QA Engineer (Canfor, Canada) to debug UI issues and ensure production-level quality.
React.jsFront-End DevelopmentTailwind CSS

Education

Graphic Era Deemed to be University

Doing bachelor in computer science and engineering — Computer Science

Sep 2022Sep 2026

Namdev public school

High School Diploma

Jul 2007Oct 2022

Stackforce found 100+ more professionals with Machine Learning & Deep Neural Networks (dnn)

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