AI/ML Engineer · Systems Builder · Backend-First
I build things that work beyond the notebook — model to API to deployment. To bots that actually assist you with your tasks
I build things that work beyond the notebook — model to API to deployment. To bots that actually assist you with your tasks
B.Tech student passionate about end-to-end AI engineering — transforming raw data into production-ready systems. I’m particularly interested in system design, backend infrastructure, model deployment, and building applications where multiple technologies work together seamlessly.
Rather than isolated models, I prefer creating practical systems that are scalable, usable, and built with real-world deployment in mind.
| Project | What it does | Stack |
|---|---|---|
| Histopathology AI | Fusion model, CNN, end-to-end cancer detection | PyTorch · FastAPI · Docker · VGG-16, RESTNET |
| Football Analytics | ETL pipeline across 1,891 matches → dashboard | Python · Next.js · Vercel |
| Mini-Shazam | Audio fingerprinting via MFCC + neural net | PyTorch · Colab |
| Portfolio | Custom-built, deployed | Next.js · Tailwind |
ml = ["PyTorch", "TensorFlow", "Scikit-Learn", "NumPy", "Pandas"]
backend = ["FastAPI", "Flask", "Node.js"]
devops = ["Docker", "AWS EC2", "GitHub Actions"]
frontend = ["Next.js", "React", "Tailwind CSS"]
databases = ["MySQL", "MongoDB", "Firebase", "Supabase"]
languages = ["Python", "JavaScript", "JAVA", "GO"]
core_ai = ["Deep Learning", "CNNs", "LSTMs", "Attention Mechanism", "NLP"]
gen_ai = ["Transformers", "LLMs", "RAG", "LangChain", "Embeddings"]---
> building scalable AI systems
> backend-first architecture
> deployment and infrastructure
> production-ready applications
