AI/ML Specialist
Transforming Ideas into
Intelligent Solutions
Passionate about leveraging cutting-edge artificial intelligence and machine learning to solve complex problems and drive innovation across industries.
About Me
A passionate Computer Science student specializing in AI/ML with expertise in developing intelligent solutions through academic research and innovative projects.
Transforming Ideas into Intelligent Solutions
As a Computer Science student passionate about artificial intelligence and machine learning, I specialize in developing cutting-edge solutions that solve real-world problems. My expertise spans from deep learning and computer vision to natural language processing and predictive analytics.
Through academic research and hands-on projects, I've worked on AI solutions across various domains including healthcare, agriculture, and education. My approach combines theoretical knowledge with practical implementation to create impactful, scalable solutions.
Passionate about staying at the forefront of AI innovation, I continuously research and implement the latest advancements in machine learning, ensuring my solutions are always state-of-the-art.
Core Philosophy
- Innovation through intelligent automation
- Data-driven decision making
- Scalable and maintainable solutions
- Continuous learning and improvement
Areas of Expertise
Deep Learning
Neural networks, CNN, RNN, Transformers, and advanced architectures
Machine Learning
Supervised/Unsupervised learning, model optimization, and deployment
Data Science
Data preprocessing, feature engineering, and statistical analysis
AI Solutions
End-to-end AI product development and system integration
Research & Development
Academic research, innovative AI applications, and cutting-edge projects
Innovation
Pioneering new AI applications and cutting-edge research
AI/ML Tech Stack
Tools and frameworks I use to build intelligent solutions.
Software Development Stack
Technologies and tools I use for full-stack development and software engineering.
Experience & Education
My journey in AI, ML, Cloud, and Computer Vision through hands-on experience, research, and academics.
Professional Experience
Cloud-AI / Internship
Develop and implement cloud-based solutions using Microsoft Azure. Collaborate with developers to integrate new features using Python and React.js. Optimize cloud workflows and contribute to AI-driven projects.
Key Achievements:
- Developed and implemented cloud-based solutions using Microsoft Azure.
- Collaborated with developers to integrate new features using Python and React.js.
- Optimized cloud workflows and contributed to AI-driven projects.
Education
B.Tech in Computer Science and Engineering
6.37/10 CGPAIIIT Dharwad
Parallel Computing, Data Structures and Algorithms, Cloud, AI, ML, Software Development, Backend, Computer Vision
Aug 2022 – May 2026
Research Projects
Paddy Disease Detection with Computer Vision
Jan 2025 – Apr 2025Advisor: Dr. Pavan Kumar C
Developed and optimized a high-accuracy paddy disease detection model using TensorFlow with the Xception architecture, incorporating parallel processing techniques to enhance model training efficiency. Leveraged GPU acceleration on AWS EC2 HPC instances to execute distributed inference tasks, simulating a multinode environment to handle large-scale image data processing.
AI/NLP System for Educational Content Generation
Jan 2025 – Feb 2025Advisor: Dr. Krishnendu Ghosh
Developed an AI/NLP system using transformer models (via the Ollama API) to automatically generate structured lecture guides, with a scalable architecture designed for future distributed processing. Enhanced instructor productivity by refining content using NLP libraries (TextBlob, NLTK) in a modular framework, setting the stage for parallel processing on HPC environments.
Awards & Certifications
Internshala: Natural Language Processing
Jan 2025 - Present
Internshala: Generative AI
Jan 2025 - Present
Internshala: SQL For Data Analytics
Oct 2024 – Dec 2024
Internshala: Data Science
May 2024 – May 2024
Internshala: Machine Learning
Apr 2024 – May 2024
JEE Mains 2022 | 94.5 Percentile (Top 5.5%)
Jul 2022
Featured Projects
A showcase of innovative AI/ML solutions that demonstrate technical expertise and real-world problem-solving capabilities.
PaddyDoctorAPP
AI-powered paddy disease classifier using deep learning with over 16,000 high-resolution images covering 14 classes. Achieved 99.6% training accuracy and 97.45% validation accuracy using Xception architecture.
Key Features:
- Deep learning disease classification
- 99.6% training accuracy with Xception
- Real-time disease predictions
- AWS EC2 deployment with web interface
FootballVision
Advanced computer vision system using YOLO for real-time detection and classification of players, referees, and ball from live football footage with tactical mapping capabilities.
Key Features:
- YOLO-based object detection
- Real-time player tracking
- Live tactical map generation
- Strategic formation analysis
GameCV
Innovative OpenCV-based system that captures real-time body movements and translates them into game actions for hands-free gameplay with customizable gesture recognition.
Key Features:
- Real-time body movement detection
- Action mapping to game controls
- Customizable gesture recognition
- OpenCV-powered processing
WebRAG
Retrieval-Augmented Generation system using LLMs to answer queries by scraping relevant web content. Built with Flask backend, Streamlit frontend, and LangChain for conversational memory.
Key Features:
- Web content scraping and processing
- LLM-powered response generation
- Flask backend with Streamlit UI
- Conversational memory with LangChain
NLP-TeachBot
EduGuide AI - Intelligent lecture assistance system powered by NLP and AI to enhance teaching experience with real-time insights, automated summarization, and student engagement analysis.
Key Features:
- Real-time lecture insights
- Automated content summarization
- Keyword extraction and enhancement
- Student engagement analysis
My Portfolio
Modern, responsive portfolio website built with Next.js and Tailwind CSS featuring animated gradients, smooth transitions, and dynamic project showcases with interactive elements.
Key Features:
- Next.js with TypeScript
- Responsive design with Tailwind CSS
- Animated gradient borders
- Dynamic project filtering
PaddyDoctorAPP (Mobile)
Mobile implementation of the AI-powered paddy disease detection system, providing farmers with on-field disease identification capabilities through smartphone cameras.
Key Features:
- Mobile-optimized UI/UX
- Camera integration for image capture
- Offline prediction capabilities
- Farmer-friendly interface
Ready to Build Something Amazing?
Let's collaborate on your next innovative project. I'm always excited to work on challenging problems that push the boundaries of technology.
Get In Touch
Ready to discuss your next AI/ML project? Let's collaborate to bring your ideas to life with cutting-edge artificial intelligence solutions.
Let's Connect
I'm always interested in new opportunities and exciting projects. Whether you have a question, want to discuss a potential collaboration, or just want to say hello, feel free to reach out!