B.Tech Computer Science Engineering • UPES, Dehradun
Backend, data & systems • Always experimenting
I’m a Computer Science undergraduate focused on backend systems, data processing pipelines, and performance-oriented software development. I enjoy algorithmic design, system thinking, and building architectures that are clean, reliable, and scalable.
- Currently exploring: deep learning & computer vision, smarter recommendation systems, and better ways to evaluate and deploy ML models.
- I like working on projects where I can connect data, algorithms, and real-world usage.
- Core languages: JavaScript (ES6+), TypeScript, Python, HTML5, CSS3
- Backend & APIs: Node.js, Express
- Frontend: : Bootstrap
- Tools & platforms: Git, GitHub, VS Code, Postman, Unreal Engine 5
Recommendation system that suggests songs across genres based on lyrics similarity and semantic relationships between words.
- Tech: Python · NLP · embeddings · similarity search
- Highlights:
- Encodes lyrics into vector representations to compare songs across genres.
- Experiments with different similarity metrics and preprocessing strategies.
- Designed for exploration and discovery rather than just "more of the same".
An experimental project exploring vortex/swarm-style behavior, optimization, and simulation.
- Tech: See repository for implementation details
- Highlights:
- Focuses on emergent behavior from simple local rules.
- Provides a playground for testing ideas in swarm/heuristic optimization.
- Built to be easy to extend with new experiments.
Browser-based video annotation platform with interactive overlays and timeline controls, designed for fast, in-browser labeling and review.
- Tech: JavaScript · HTML5 · CSS3
- Highlights:
- Overlay system for drawing and adjusting annotations on video frames.
- Timeline controls to scrub, jump, and manage labeled segments.
- Runs entirely in the browser—no backend required for basic usage.
- Deep learning and computer vision (e.g., segmentation, detection, and real-world datasets).
- Recommendation systems and evaluation strategies for ranking and similarity.
- Designing clean, maintainable APIs and project structures.
- Turning university lab work into reusable, well-documented repositories.
- B.Tech Computer Science Engineering — UPES, Dehradun.
- Interests across backend development, data pipelines, and visual/pattern recognition.
- Relevant coursework includes:
- Algorithms & Data Structures
- Machine Learning
- Visual & Pattern Recognition
- Operating Systems & Systems Programming
- Email: aman.tms347@gmail.com
- Open to collaborating on backend, data, and tooling projects.