Python, Java & Web Developer | Research + Deployment
Professional Summary
I am a results-driven Computer Science Engineering student with a strong academic record (CGPA: 9.15) and a specialization in Machine Learning, Deep Learning, and Generative AI. I am passionate about designing intelligent systems that solve real-world problems and have hands-on experience in developing end-to-end AI solutions, from data preprocessing and model training to deployment and optimization. My technical expertise includes Python, TensorFlow, Scikit-learn, Flask, and REST API development, along with strong skills in data preprocessing, feature engineering, and machine learning model optimization. I have practical experience deploying scalable AI applications on cloud platforms such as Render, ensuring real-world usability and performance. I have successfully developed several impactful projects, including a live Malicious URL Detection system capable of identifying phishing and malicious links with over 95% accuracy. I have also worked on Generative AI applications such as text-to-image generation models, demonstrating my ability to leverage modern AI technologies. My research contributions include a published study on YOLOv8 in deep learning, reflecting my interest in advanced computer vision techniques. Additionally, I was recognized for technical excellence by securing 3rd place at IGNITE HACK 2024. Beyond technical development, I actively contribute to the tech community through leadership roles such as Internshala Student Partner and LetsUpgrade Campus Ambassador, where I have helped thousands of students access educational resources and career opportunities. I am deeply committed to continuous learning, innovation, and building ethical AI solutions that create meaningful impact in the real world.
Projects
Malicious URL Detection System: Developed a live
system that identifies phishing and malicious URLs with over
95% accuracy using machine learning techniques.
Text-to-Image Generation Model: Created a generative
AI model that produces high-quality images from textual
descriptions, showcasing expertise in deep learning and
generative models.Skills
- Programming Languages: Python, Java, C++
- AI/ML : Machine Learning, Deep Learning, Generative AI, NLP, Computer Vision
- Frameworks: TensorFlow, Scikit-learn, Flask
- Data Skills: Feature Engineering, Data Preprocessing, Model Optimization
- Tools & Deployment: GitHub, Render, REST APIs, Cloud Deployment
Experience & Leadership
- AI & Machine Learning Intern: Edunet Foundation - Nov 2024 – Dec 2024 ( Remote )
- Developed ML model for image classification using Python, TensorFlow, and scikit-learn under expert mentorship
- Gained hands-on experience in model development, training, evaluation, and deployment workflows
- Worked on real-world datasets applying data preprocessing and feature engineering techniques
- Internshala Student Partner:
Oct 2024 – Dec 2024 ( Remote ) - Promoted internship and training opportunities, successfully engaging 500+ students in career development initiatives
- Demonstrated leadership and communication skills through strategic outreach and community building
- Campus Ambassador (Silver Award):
Jun 2024 – Aug 2024 ( Remote ) - Built and managed tech community of 1000+ learners through strategic outreach and educational content curation
- Achieved Silver Award milestone by exceeding engagement targets and organizing skill development workshops
Research & Publications
- Published Research Paper: Presented ”Segmenting Brain Tumor Detection Instances in Medical Imaging with YOLOv8” at 9th International Conference on Research in Intelligent Computing in Engineering (RICE 2024)
Get In Touch
If you have an opportunity, collaboration idea, or just want to connect - feel free to reach out.