I'm a B.Tech AI Engineering student (CSVTU, 2023–2027) who doesn't wait for permission to build real things.
I ship production-grade AI systems — not just Jupyter notebooks. My work spans Computer Vision, NLP, LLMs, and Generative AI, backed by internships at Microsoft Azure, Infosys Springboard, and Prakalp Vision — all before my junior year.
"I may not know everything. But I will learn whatever it takes — faster than you expect."
while alive:
identify_the_hardest_problem()
build_a_solution()
measure_what_broke()
improve()
ship_again()
I operate on one principle: execution is the teacher. Every project I build teaches me something no course ever could. I move fast, iterate relentlessly, and raise my own bar — every single time.
| Project | Stack | Result |
|---|---|---|
| 🌿 Plant Disease Chatbot | TensorFlow · CNN · FastAPI · React | 94% accuracy, 15+ diseases, production API |
| 🌐 Multilingual Voice Translator | LangChain · Groq · Llama 3.1 · WebSocket | 16+ languages, <100ms latency |
| 📝 Review Summarization Engine | BERT · TextRank · Hugging Face | 70% faster processing, dual NLP pipeline |
| 📈 Stock Forecasting System | LSTM · GRU · Technical Analysis | Multi-horizon predictions with trading signals |
| 😷 Face Mask Detector | Azure ML · Computer Vision | 95% accuracy, cloud-deployed |
Languages: Python C++ SQL JavaScript R
AI/ML: TensorFlow PyTorch Keras scikit-learn Hugging Face
Deep Learning: CNN LSTM GRU Transformers GANs BERT LLaMA
NLP & GenAI: LangChain GPT Prompt Engineering RAG
Deployment: FastAPI Docker Azure ML WebSockets React
Data: Pandas NumPy Matplotlib Seaborn Plotly
🔬 Software Testing Intern — Prakalp Vision Nov 2025 – Present
Cross-platform QA, defect lifecycle management, feature validation
🤖 AI Virtual Intern — Infosys Springboard Sep – Oct 2025 ·
Built plant disease prediction system · 94% accuracy · Recognized for innovation
☁️ AI Intern — Microsoft Azure (Edunet) May – Jun 2025
Face mask detection at 95% accuracy · Azure ML Studio · Cloud ML pipelines
- 🎓 Machine Learning Specialization — Andrew Ng · Stanford / Coursera (2024)
- ☁️ Azure AI Internship Certificate — Microsoft / Edunet Foundation (2025)
- 🚀 Bhartiya Antariksh Hackathon — ISRO National Participant (2025)
- ⭐ AI Intern Certificate — Infosys Springboard AI Internship (2025)
I'm not building AI to add it to a resume.
I'm building AI because I believe it's the most powerful tool humans have ever had — and most people haven't even scratched the surface of what it can do. My goal is to be one of the engineers who figures out what it can actually do and ships it into the world.
- 🌍 Vision: Build AI systems that solve real, large-scale problems
- 🔬 Next: Generative AI, multimodal systems, production MLOps
- 🤝 Open to: Collaborations, research, open-source, internships, full-time roles
- 📍 Based in: Durg, Chhattisgarh, India
I respond within 24 hours. Always.
If you're working on something ambitious in AI — reach out. If you're hiring engineers who learn fast and ship faster — reach out. If you just want to talk about what AI can do next — definitely reach out.
Built with discipline. Powered by curiosity. Made in India 🇮🇳

