Initiating
Deep Space Protocol

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ABHINAV.VATS

Beyond Earth
and the limits of the known

Full Stack DevAI/ML PractitionerPersonal Portfolio
Resume

Hello!
I'm Abhinav

Vats

A digital system beyond time and place. Exploring structure, form, and interaction.

Details

Education

  • B.Tech in Computer Science and Engineering
  • SRM Institute of Science and Technology, Delhi-NCR
  • Aug 2023 – May 2027 | CGPA: 9.17/10.0

Research

  • First Author, IEEE Conference Paper (Under Review) 2026
  • AI-Driven Fashion Recommendation System (CNNs + Transformers)
  • Full pipeline from training (PyTorch) to REST API deployment (FastAPI) on AWS.

Technical
Skills

Languages

Python (Primary), Java, JavaScript, TypeScript, C++, SQL

python
openjdk
javascript
typescript
cplusplus

AI / ML

PyTorch, TensorFlow, Scikit-learn, CNNs, Transformers, NLP, Pandas, NumPy

pytorch
tensorflow
scikitlearn
pandas
numpy

Cloud & DevOps

AWS (EC2, S3, Lambda), Azure, Docker, GitHub Actions CI/CD, Git, Linux, Shell

AWS
AZR
docker
githubactions
git
linux

Backend & APIs

FastAPI, Flask, Node.js, REST APIs, JWT, PostgreSQL, MongoDB, Redis

fastapi
flask
nodedotjs
postgresql
mongodb
redis

Testing & QA

Pytest, Unit Testing, API Testing, Automated Test Pipelines

pytest
postman

Professional
Experience

Nov 2025 – Present

UI/UX Frontend Developer Intern

  • Built 50+ reusable components for an AI-driven platform, cutting feature delivery time by 40%; integrated real-time AI recommendation workflows and backend services into production.
  • Optimized rendering via code splitting and lazy loading, achieving 95+ Lighthouse scores; participated in Agile sprints, code reviews, and cross-functional release deployments.
Looping Loons
Jun 2025 – Jul 2025

AI & Azure Developer Intern

  • Designed and deployed sentiment analysis service using Azure Cognitive Services and Flask, achieving 87% F1-score on real-world text data.
  • Automated end-to-end ML workflows using Azure Functions and CI/CD pipelines, reducing manual intervention in model update and release cycles.
  • Built production-ready APIs with structured logging, error handling, and monitoring integration; managed cloud infrastructure, deployment pipelines, and service reliability on Azure.
Edunet Foundation

Featured
GithubProjects

NSE Data Downloader

Automates daily downloads of NIFTY 500 and Market Indices files from NSE India with scheduled times, running seamlessly in the background and logging with timestamps.

TECH STACK:
Python • Pandas

Indian Election Predictor V2

AI-powered sentiment analysis web app predicting election outcomes using Twitter CSV data and NLP. Features real-time analyses and interactive Plotly charting vectors.

TECH STACK:
Python • NLP • CSS

ShopMind Ecosystem

Intelligent e-commerce architecture built with sophisticated AI-powered recommendations, complete real-time cart functionality, eco-friendly metrics and deep responsiveness.

TECH STACK:
Node.js • React • JS
Go beyond

JOIN IN.
SOLVE WHAT OTHERS IGNORE.
BUILD WHAT'S NEXT.
FOLLOW THE SIGNAL.