Ankit Kumar

About Ankit Kumar

Ankit KumarSoftware Developer | ML, Deep Learning & GenAI Enthusiast | Web & App Developer | Open Source Contributor | Hackathon Champion Jamshedpur, Jharkhand | k••••••••@gmail.com |+91••••••••94Profile SummaryPre-final year B.Tech student at ITER, Siksha \'O\' Anusandhan University (CGPA: 8.5) with expertise in software development, machine learning, deep learning, and Generative AI. Passionate about designing and deploying real-world solutions, with hands-on experience in AI model training, full-stack development, and mobile applications. Strong problem solver with a proven track record in AI-powered applications, predictive analytics, e-commerce platforms, and interactive apps.Achievements| 12× Ideathon | 3 Expo | 10x Hackathon Winner |Open Source Contributor – GSSOC ’24, Hacktoberfest ’23 & ’24, APERTRE 2.05 HackerRank (Java)| Solved 100+ DSA problemsExperienceInternships: Fastpeer.AI | Gehna Mall | HykitCare | Aveti Learning Freelance Developer: TutorPlaza – Delivered custom web & app solutionsProjects: AI-powered applications, predictive ML models, e-commerce platforms, and Generative AI toolsTechnical SkillsProgramming: Java, C++, Python, JavaScript, Swift, KotlinWeb Development: ReactJS, Next.js, HTML, CSS, Bootstrap, FastAPIMobile Development: Flutter, FirebaseAI & ML: Machine Learning, Deep Learning (CNN, RNN, LSTM), Generative AI, Hugging Face Transformers, TensorFlow, PyTorch, OpenAI APIs, MediaPipeCloud & DevOps: GCP (basics), GitHubTools & Platforms: Git, GitHub, Postman, Figma, Canva, VS Code, Jupyter Notebook, Google Colab, Streamlit, Hugging Face SpacesOther: Data Structures & Algorithms, Problem Solving (100+ DSA)

Experience

1. Software Engineer Intern

   Fastpeer Ai

   Jan 2026 — Present

   Software Developer Intern | Fastpeer AI Corp (Remote, USA)Developing and deploying production-ready Flutter applications with a strong focus on clean, scalable UI/UX designIntegrating applications with Python-based backend APIs and real-time WebSocket communicationImplementing and integrating machine learning–driven recommendation systems into user-facing featuresHandling end-to-end app deployment, including build optimization and Google Play Store release preparationCollaborating remotely with cross-functional teams to deliver reliable, user-focused AI products

Education

• Gulmohar High School

  Intermediate, Mathematics and Computer Science

• Siksha 'O'​ Anusandhan University

  Bachelor of Technology - BTech, Computer Science

• Vig English School

  School, Mathematics and Computer Science