Kanpur, India · Open to opportunities

Anamika
Gupta

Computer Science & AI Engineer — Full-Stack Development, Machine Learning

I build reliable web systems and train models that make sense of data — from JWT-secured e-commerce backends to clinical risk classifiers with 94% accuracy. Currently completing my B.Tech in CSE (AI) at PSIT, Kanpur.

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01 — About

A little about how I work

I'm a Computer Science & Artificial Intelligence student at Pranveer Singh Institute of Technology, graduating in 2027. My work sits at the intersection of full-stack engineering and applied machine learning — I like taking a system from raw data or a rough idea to something people can actually use, with attention to performance, clean architecture, and real metrics along the way.

  • FocusMERN Stack · Machine Learning · REST APIs
  • CurrentlyB.Tech CSE (AI), PSIT Kanpur — 2027 batch
  • Problem solving300+ DSA problems · 5★ HackerRank
  • CertifiedOracle AI Foundations Associate
02 — Skills

Tools & technologies

Languages

PythonC++JavaJavaScriptNode.js

Web Development

React.jsHTML5CSS3Tailwind CSSBootstrapREST APIs

Backend

Express.jsJWT AuthRBACAPI Design

Machine Learning

Scikit-learnXGBoostPandasNumPyNLPMatplotlib

Databases

MongoDBPostgreSQLMySQLSQLiteMongoose

Tools & DevOps

GitGitHubDockerCI/CDPostmanVS Code
03 — Projects

Selected work

01

Sentilytics-360

Cross-platform sentiment analysis engine · Jul – Oct 2025

A unified data ingestion pipeline that normalises multi-platform streams into a single analytics layer for standardised sentiment scoring, with a live React dashboard for drill-down analysis.

  • 10,000+ events/day processed
  • Sub-200ms API response under load
  • ~60% less manual analysis time
PythonReact.jsNLPNode.jsExpress.js
02

HeartGuard

Clinical risk classification system · Sep – Dec 2024

Trained and compared Decision Tree, Logistic Regression and XGBoost models on a 14-feature clinical dataset to flag heart failure risk, with a full EDA report and documented model card.

  • 94% classification accuracy
  • Soft-voting ensemble
  • Precision-recall threshold tuning
PythonScikit-learnXGBoostPandasMatplotlib
03

ShopEase

Full-stack e-commerce platform · Jun – Aug 2024

A MERN e-commerce app with search, filtering and pagination across 500+ listings, secured with JWT authentication and role-based access control for multiple user types.

  • 500+ product listings
  • 12+ REST endpoints
  • ~70% fewer data inconsistency errors
MongoDBExpress.jsReact.jsNode.jsJWTTailwind CSS
04

Weather Forecast App

Real-time weather web app · January 2024

A clean, responsive weather app wrapping the OpenWeatherMap API with a caching layer to cut redundant calls and keep responses fast.

  • Sub-2s load times
  • ~60% fewer redundant API calls
  • ~40% better location-lookup accuracy
HTML5CSS3JavaScriptNode.jsOpenWeatherMap API
04 — Education

Academic background

0% current B.Tech score

  • B.Tech — CSE (Artificial Intelligence)

    76.25%

    Pranveer Singh Institute of Technology, Kanpur · 2023 – 2027

  • Intermediate (12th)

    67%

    St. Xaviers School, Banda · 2022

  • High School (10th)

    71.33%

    St. Xaviers School, Banda · 2020

Certifications & Achievements

  • Oracle Certified Foundations Associate — Artificial Intelligence, 2024
  • 5-Star Problem Solving Badge — HackerRank
  • LeetCode 200-Day Consistency Badge · 300+ DSA problems solved
  • Supervised Machine Learning: Regression & Classification — Coursera (Andrew Ng)
  • Active open-source contributor on GitHub
05 — Contact

Let's build something

I'm currently looking for internship and full-time opportunities in software engineering and applied ML. The quickest way to reach me is email.

Email 2k23.csai2313032@gmail.com Phone +91 93695 79968 GitHub anamikagupta0604 LinkedIn anamika-gupta-b98339297