🎓 I'm a Computer Engineering undergraduate at Thapar Institute of Engineering & Technology with a CGPA of 8.73. Passionate about Machine Learning and Full Stack Web Development, I love creating innovative, scalable solutions that solve real-world problems.
- Achieved 84.0% balanced accuracy by fusing physiological, vocal, and psychological signals.
- Deployed real-time system with 99.9% uptime, integrated SHAP for interpretability (AUC up to 0.99).
- Tech Stack: TensorFlow, Scikit-learn, SHAP, Arduino
- Designed a CLI tool to auto-grade subjective responses using TF-IDF and cosine similarity with 94.2% accuracy.
- Achieved 98.7% for single-word answers using Levenshtein distance.
- Tech Stack: NLTK, TensorFlow (Keras), Python CLI
- Built a railway defect detection system using Inception ResNetV2 with 95.45% test accuracy.
- Detected cracks as small as 10–15 mm using multi-modal analysis.
- Tech Stack: TensorFlow, FastAPI
Entrepreneurship Development Cell, TIET
Oct 2023 – May 2025
- Led BizQuest'24, a flagship event with 1000+ registrations and ₹100K prize pool.
- Managed a 50+ member team in logistics, marketing, and outreach with partners like MG Motors and Urban Company.
Niine Private Ltd.
Mar 2024 – Sept 2024
- Spearheaded a menstrual hygiene awareness drive impacting 300+ beneficiaries, distributing over 5000 sanitary pads and organizing educational workshops.
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Smart India Hackathon '24:
Ranked Top 40 out of 200+ for AI-based infrastructure safety (Project: Samptak). -
Thapar Summer School on AI & Deep Learning:
Placed in Top 10 among 75+ participants across 4 Kaggle-style challenges.
- Advanced Backend Development
- Cutting-edge Machine Learning techniques
- Email: devanshworkmail5@gmail.com
- LinkedIn: linkedin.com/in/devanshwadhwani
- GitHub: github.com/De-Coder05