What I Actually Do
Not a service menu. This is what I build.
AI & Machine Learning
I build neural networks that actually learn. Most of my work so far is in NLP, specifically emotion detection across multiple Indian languages, where direct translation loses the nuance the model needs. Training pipelines, evaluation, and getting a model out of a notebook and into something people can use.
Full-Stack Product Development
I ship products end-to-end. AntarYatra went from an idea to a deployed platform I am still actively building on. I handle architecture decisions, performance trade-offs, and actually think about user experience. React to databases to deployment, I know the whole chain.
Expertise Map
Skills ranked by depth and production experience
Ranked by how much I've actually built with each. Daily drivers are what I reach for on every project, and growing areas are where I'm actively leveling up.
Machine Learning
Daily Driver
Model training, deployment optimization, real-world validation
Backend Development
Daily Driver
APIs, databases, scalability, system design
Deep Learning
Deep Focus
Neural network architectures, NLP, training and evaluation
Frontend Development
Comfortable
React, TypeScript, UI/UX, animations
DevOps & Deployment
Comfortable
Docker, CI/CD pipelines, cloud infrastructure
ML Systems & Deployment
Growing
Data pipelines, inference optimization, serving models in production
The Tools I Use
Not just buzzwords. These are production tools I actually use.
Languages
AI & ML
Backend
Frontend
DevOps & Deployment
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