A modern, interactive portfolio showcasing AI/ML projects, research, and professional experience
I'm Himanshu Kumar, a passionate AI/ML Engineer and final-year Computer Science student at IIIT Nagpur. I specialize in:
- 🧠 Machine Learning & Deep Learning
- 👁️ Computer Vision & Vision-Language Models
- 🔤 Natural Language Processing
- 📊 Data Science & Analytics
- 🤖 Generative AI & RLHF
- ML Engineer positions
- AI Engineer roles
- Data Scientist opportunities
- Research Internships
- 🎓 CGPA: 8.35/10
- 🏢 Internships: 3 (IIT Madras, IIT Guwahati, ProCohat Technologies pvt ltd)
- 📜 NVIDIA Certifications: 5
- 📝 Publications: 1 (ArXiv)
- 🏆 Competition Wins: 2x Runner-up
- NanoVLM: Compact Vision-Language Models (ArXiv 2025)
- Multimodal AI: Image Captioning with ViT + GPT-2/BERT
- Audio Generation: MusicGen with RLHF for soundscape creation
- Developed soundscape music generation using MusicGen
- Built web-based human feedback collection platform
- Implemented RLHF pipeline for audio quality alignment
- Built multimodal image captioning VLM
- Implemented Bottom-Up Top-Down attention mechanism
- Trained on Flickr30k dataset with ViT encoder
- Developed MultiPDF Chatting RAG Application
- Integrated Supabase for document storage and retrieval
- Enhanced personalized document management system
- Achievement: 10x smaller than existing small VLMs
- Performance: 39.84/50 creativity score, ROUGE-1 < 0.5
- Tech Stack: PyTorch, Vision Transformer, GPT-2, Computer Vision
- Links: Paper | GitHub
- Features: Multi-language support (10 Indian languages)
- Capabilities: Topic-based article retrieval and summarization
- Tech Stack: NLP, Machine Learning, Flask, Text Processing
- Links: GitHub
- Challenge: 9-label emotion classification with class imbalance
- Achievement: 88% accuracy using weighted loss
- Tech Stack: DistilBERT, Transformers, PyTorch
- Links: GitHub
Supervised Learning • Unsupervised Learning • Deep Learning
Computer Vision • NLP • Vision-Language Models
Large Language Models • RAG Systems
Python • C • C++ • SQL
PyTorch • TensorFlow • NumPy • Pandas
Scikit-learn • Flask • FastAPI • Seaborn
GitHub • Supabase • CUDA • Docker • Jupyter
- 2nd Runner-up: AI Hackathon, Jagriti, IIT BHU (700+ participants)
- 2nd Runner-up: Enigma, Codefest, IIT BHU (1600+ participants)
- ✅ Fundamentals of Accelerated Computing with CUDA C/C++ (March 8, 2025)
- ✅ Fundamentals of Deep Learning (February 16, 2025)
- ✅ Building Transformer-Based NLP Applications (October 15, 2024)
- ✅ Applications of AI for Anomaly Detection (November 9, 2024)
Bachelor of Technology in Computer Science and Engineering
Indian Institute of Information Technology, Nagpur | CGPA: 8.35
2022 - Present (Final Year)
- Mathematics: Linear Algebra, Calculus, Discrete Math, Statistics
- Computer Science: DSA, DBMS, OS, Software Engineering, Networks
- AI Specialization: ML, DL, NLP, Computer Vision, Conversational AI
- 🎨 Modern gradient backgrounds with glassmorphism effects
- 🎭 Smooth animations and hover effects
- 📱 Fully responsive design for all devices
- ⚡ Fast loading and optimized performance
- 🏠 Hero Section: Eye-catching introduction with call-to-action
- 👤 About Me: Professional stats and personal description
- 💼 Experience: Interactive timeline of internships
- 🏗️ Projects: Detailed showcase with tech stacks
- 🛠️ Skills: Categorized technical expertise
- 📜 Certifications: All credentials and achievements
- 📞 Contact: Professional contact information
- Frontend: Vanilla HTML5, CSS3, JavaScript ES6
- Styling: Custom CSS with advanced animations
- Deployment: GitHub Pages (Free hosting)
- Performance: Optimized for fast loading
- SEO: Semantic HTML structure
- Add dark/light theme toggle
- Integrate blog section for technical articles
- Add project filtering and search functionality
- Include testimonials and recommendations
- Implement contact form with backend
- Add Google Analytics for visitor tracking
I'm actively seeking opportunities in AI/ML Engineering and Data Science. If you're interested in collaborating or have opportunities to discuss, feel free to reach out!
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