🚀 AI & Data Science Engineer | Computer Vision | ML Developer
- 🎓 AI & Data Science Engineering student @ SGBIT
- 💡 Passionate about building real-world AI systems that solve practical problems
- 🧠 Focused on Computer Vision, Machine Learning, and Applied AI
- ⚡ Interested in startups, product building, and impactful tech
Ex - Python Developer Intern — Infosys Springboard
- Worked on real-world problem solving using Python
- Strengthened debugging skills and system-level thinking
- Wrote clean, maintainable, and efficient code
Ex - Machine Learning Intern — Cognifyz Technologies
- Worked on ML-based tasks including data preprocessing and model building
- Gained hands-on experience with supervised learning techniques
- Improved understanding of real-world ML workflows and evaluation
- Built a real-time computer vision system using OpenCV & MediaPipe
- Tracks hand landmarks and maps gestures to system volume
- Integrated with Windows Core Audio (PyCAW)
- Achieved low-latency, touchless interaction
- Developed an AI system that answers questions based on disaster-related images
- Combined Computer Vision + NLP techniques
- Worked on multimodal learning (image + text understanding)
- Focused on extracting insights from real-world disaster scenarios
- 🧿 IBM Skill Badges in AI & Data Science
- 📈 Built and deployed real-world ML & Computer Vision projects
I’m the go-to person for debugging… and I actually enjoy it 😄