🚀 Himanshu Kumar - AI/ML Engineer Portfolio

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A modern, interactive portfolio showcasing AI/ML projects, research, and professional experience

👨‍💻 About Me

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

🎯 Currently Seeking

• ML Engineer positions
• AI Engineer roles
• Data Scientist opportunities
• Research Internships

🌟 Portfolio Highlights

📊 Quick Stats

• 🎓 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

🔬 Research & Publications

• NanoVLM: Compact Vision-Language Models (ArXiv 2025)
• Multimodal AI: Image Captioning with ViT + GPT-2/BERT
• Audio Generation: MusicGen with RLHF for soundscape creation

💼 Professional Experience

🎵 AI Intern - Generative AI & RLHF | IIT Madras (May 2025 - July 2025)

• Developed soundscape music generation using MusicGen
• Built web-based human feedback collection platform
• Implemented RLHF pipeline for audio quality alignment

👁️ AI Intern | IIT Guwahati (Nov 2024 - Mar 2025)

• Built multimodal image captioning VLM
• Implemented Bottom-Up Top-Down attention mechanism
• Trained on Flickr30k dataset with ViT encoder

💻 Developer Intern | ProCohat Technology (Jun 2024 - Aug 2024)

• Developed MultiPDF Chatting RAG Application
• Integrated Supabase for document storage and retrieval
• Enhanced personalized document management system

🏗️ Featured Projects

🔬 NanoVLM: Tiny Multimodal Vision Language Model

• 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

📰 Sankshipt: News Summarizer Application

• Features: Multi-language support (10 Indian languages)
• Capabilities: Topic-based article retrieval and summarization
• Tech Stack: NLP, Machine Learning, Flask, Text Processing
• Links: GitHub

❤️ MultiLabel Sentiment Analysis

• Challenge: 9-label emotion classification with class imbalance
• Achievement: 88% accuracy using weighted loss
• Tech Stack: DistilBERT, Transformers, PyTorch
• Links: GitHub

🛠️ Technical Skills

🧠 Machine Learning

Supervised Learning • Unsupervised Learning • Deep Learning
Computer Vision • NLP • Vision-Language Models
Large Language Models • RAG Systems

💻 Programming Languages

Python • C • C++ • SQL

🔧 Frameworks & Libraries

PyTorch • TensorFlow • NumPy • Pandas
Scikit-learn • Flask • FastAPI • Seaborn

☁️ Tools & Platforms

GitHub • Supabase • CUDA • Docker • Jupyter

🏆 Achievements & Certifications

🥉 Competition Results

• 2nd Runner-up: AI Hackathon, Jagriti, IIT BHU (700+ participants)
• 2nd Runner-up: Enigma, Codefest, IIT BHU (1600+ participants)

📜 NVIDIA Deep Learning Institute Certifications

• ✅ 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)

🎓 Education

Bachelor of Technology in Computer Science and Engineering
Indian Institute of Information Technology, Nagpur | CGPA: 8.35
2022 - Present (Final Year)

📚 Key Coursework

• Mathematics: Linear Algebra, Calculus, Discrete Math, Statistics
• Computer Science: DSA, DBMS, OS, Software Engineering, Networks
• AI Specialization: ML, DL, NLP, Computer Vision, Conversational AI

📞 Contact Information

🌐 Portfolio Features

✨ Interactive Design

• 🎨 Modern gradient backgrounds with glassmorphism effects
• 🎭 Smooth animations and hover effects
• 📱 Fully responsive design for all devices
• ⚡ Fast loading and optimized performance

🎯 Key Sections

• 🏠 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

🔧 Technical Implementation

• 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

📈 Future Enhancements

• 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

🤝 Let's Connect!

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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