Headline

Machine Learning Engg Intern at Flyrank AI| Python, SQL, Machine Learning, NLP, FastAPI | Top 6% Amazon ML Challenge 2025 | Open to Data Scientist Intern Roles | Building Scalable AI Applications

About

I am an AI/ML-focused engineering student passionate about designing and building data-driven systems that address real-world challenges. I have hands-on experience delivering end-to-end machine learning solutions — from data preprocessing and feature engineering to model evaluation and deployment. My projects span predictive modeling, multimodal learning (text and image), and backend system development using FastAPI. Through rigorous training at Samsung Innovation Campus and practical project work, I have developed strong proficiency in Python, Pandas, NumPy, and key machine learning frameworks. I prioritize writing clean, maintainable, and testable code, and I ensure model reliability through robust evaluation techniques. What sets me apart is my solid foundation in core computer science concepts — including data structures, operating systems, and system design — enabling me to build scalable, production-ready ML systems that go beyond just model development. I am particularly passionate about: - Applied Machine Learning & Data Science - Building scalable ML pipelines and APIs - Data-driven product development - Solving complex problems using AI and analytics I am actively seeking internships and entry-level roles in AI/ML, Data Science, and Applied Machine Learning Engineering where I can contribute effectively, continue learning, and develop impactful solutions. If you’re working on innovative AI projects or data-driven challenges, let’s connect and explore opportunities to collaborate!

Location

Bengaluru

AI stack

antigravity

github copilot

hugging face

notion

openai

Amazon Q Developer

Work experience

Machine Learning Engineer at FlyRank AI, Jul 2026 - Present · 4 mos, Bengaluru, Karnataka, India

Open Source Contributor at GirlScript Summer of Code, Sep 2025 - Nov 2025 · 3 mos, Remote, -> Actively engaged in open source AI/ML projects by reviewing code and providing detailed comments and suggestions on GitHub repositories. -> Contributed to improving code quality and documentation through constructive feedback. -> Collaborated with the developer community to understand project workflows and best practices in software development and version control. -> Enhanced familiarity with Git, GitHub, and open source collaboration processes.

Al trainee at Samsung Innovation Campus, Aug 2025 - Jul 2026 · 1 yr, Bengaluru, Karnataka, India, -> Selected among a competitive cohort for Samsung’s flagship AI training program focused on Python, machine learning, deep learning, and AI applications. -> Developed and deployed machine learning models for real-world problems, including data preprocessing, feature engineering, and model evaluation. -> Built AI-powered projects using Python, Pandas, NumPy, and FastAPI, emphasizing scalable and maintainable code. -> Collaborated with mentors and peers to refine models and improve system performance, ranking in the top 40 out of 90 trainees.

Java Full stack Trainee (Via TNSIF) at TNS India Foundation, Aug 2025 - Sep 2025 · 2 mos, Bengaluru, Karnataka, India, -> Completed intensive Java Full Stack training funded by Accenture, covering backend (Core Java, Servlets, JSP) and frontend (HTML, CSS, JavaScript) development. -> Applied object-oriented programming principles and developed mini-projects simulating real-world applications. -> Gained experience with version control (Git/GitHub) and database integration (MySQL). -> Strengthened problem-solving and debugging skills applicable to AI/ML software development.

Freelance Frontend Developer at Outlier, Apr 2025 - Jun 2025 · 3 mos, remote, -> Designed and implemented responsive UI components for a React-based music listening web app, improving user engagement and experience. -> Integrated interactive features and optimized layouts for cross-device compatibility. -> Secured this freelance role after ranking in the top 1% at the Outlier Hackathon for a music app project.

Education

Bachelor of Engineering - BE, Information Science and Engineering, Visvesvaraya Technological University (VTU)

Bachelor of Engineering - BE, Information Technology, Don Bosco Institute of Technology (DBIT), Bengaluru

Public links

github: https://github.com/AkshayJKulkarni

medium: https://medium.com/@akshayjk0701

leetcode: https://leetcode.com/akshayjk0701