B.E. Computer Engineering | Thapar Institute of Engineering & Technology (TIET)
AI/ML Innovator | Full-Stack Developer | Automation Specialist
Iβm a computer engineering student dedicated to solving complex problems with AI, software development, and automation. From building military-grade vision systems to streamlining hostel operations for 5000+ students, I deliver tech that makes an impact. Ready to join a team that values innovation and results!
- Mission: Create scalable, user-focused solutions with cutting-edge tech.
- Internships:
- Summer Intern @ TIET: Developed a 96% accurate tank alignment system.
- Intern @ Revisable AI: Boosted workflow speeds.
- Leadership: Management Secretary @ OWASP TIETβhosted hackathons and workshops for 500+ participants, mentored peers in secure coding.
- Approach: Blend creativity and technical rigor to ship reliable, high-quality code.
- π Python
- π JavaScript
- β C++
- π R
- π’ MATLAB
- π₯ PyTorch
- π€ TensorFlow
- π Scikit-learn
- π€ Hugging Face
- ποΈ OpenCV
- πΌ Pandas
- π NumPy
- π Matplotlib
- π Jupyter Notebook
- π Node.js
- β‘ Express.js
- βοΈ React
- π Streamlit
- π MongoDB
- ποΈ MySQL
- π³ Docker
- π Git
- π§ Linux
- π» VS Code
- π€οΈ Pipelines (CI/CD, Data Pipelines)
- π ETL (Extract, Transform, Load)
- Chatbots: Designing NLP-powered conversational agents.
- Computer Vision: Building AI vision systems (e.g., tank alignment).
- Software Development: Crafting robust full-stack and automation solutions.
- Automation: Optimizing workflows with Python scripts and ETL processes.
- Pipelines: Streamlining CI/CD and data workflows for efficiency.
| Project | Description | Tech Stack | Impact |
|---|---|---|---|
| AutoCodeGuard | Automated code testing platform enforcing PEP8/ESLint with GitHub-integrated pipelines. | Python, JavaScript, MongoDB, OpenAI API | Cut manual effort by 40%, boosted code quality. |
| Video to Text | AI tool extracting text from videos for transcription or analysis. | Python, OpenCV | Streamlined video data processing. |
| Stock Prediction | ML model forecasting stock prices with interactive Jupyter dashboards and ETL workflows. | Python, Jupyter, Scikit-learn | Enhanced financial insights for users. |
| Google Image Downloader | Efficient script to bulk-download images from Google searches for ML datasets. | Python | Sped up dataset creation for ML tasks. |
| YouTube Downloader | Lightweight tool for seamless YouTube video downloads. | Python | Simplified media access for 100+ users. |
| Hostel Management System | Full-stack app automating room allocation and payments for 5000+ TIET students. | MongoDB, Express.js, React, Node.js | Reduced staff workload by 40%. |
| Precision Tank Alignment Solution | AI vision system for the Indian Army with 96% barrel alignment accuracy. | Python, PyTorch, OpenCV | Enabled real-time military precision. |
Currently working on chatbot prototypes, Streamlit apps, and ETL pipelinesβstay tuned!
- B.E. Computer Engineering | TIET | Expected May 2026 | GPA: 8/10
- Coursework: Data Structures, Algorithms, Object-Oriented Programming, Artificial Intelligence/Machine Learning, Software Engineering, Operating Systems, Databases, Natural Language Processing, Computer Networks, Statistics
- Certifications:
- Machine Learning (DeepLearning.AI, 2024)
- Amazon ML Summer School (Selected Participant, 2024)
- Awards:
- Robotics Competition Finalist (IETE, 2023)
- CTF Competition Finalist (Microsoft Learn Student Chapter, 2023)
- Chatbots: Developing NLP-driven conversational agents.
- Streamlit: Building interactive data dashboards.
- Software Development: Enhancing skills in full-stack and scalable app design.
- Cloud: Mastering Docker and AWS for deployment.
- Pipelines & ETL: Designing CI/CD and data transformation workflows.
βοΈ daanishmittal24@gmail.com
- Impact-Driven: Delivered a military-grade AI system with 96% accuracy.
- Versatile: Built full-stack apps (MERN), automation tools, and ETL pipelines.
- Collaborative: Led teams to deploy zero-downtime solutions.
- Future-Ready: Skilled in chatbots, Streamlit, pipelines, and cloud tech.



