Shaurya Pathak
Experience
Full Stack Python Developer Intern
QSPIDERS
Built the client-facing layer for 3+ web applications, implementing responsive UI in HTML, CSS, and JavaScript and wiring it to Django and Flask backends for live data.
Designed and consumed RESTful APIs that fed frontend views, streamlining JSON payload handling and cutting client-server latency by 20%.
Wrote modular, PEP 8-compliant Python across shared frontend/backend features, reducing code redundancy by 15%.
Used Git/GitHub in a team workflow, resolving 40+ bugs through code review and managing live deployments.
Python Developer Intern
NOVEM CONTROLS
Built and maintained Flask APIs serving JSON to internal frontend tools, supporting high-volume concurrent requests.
Automated ETL pipelines in Python/Pandas, cleaning 10,000+ rows of raw data for downstream tools.
Integrated Scikit-learn classification models into web applications to improve in-app text analysis features.
Collaborated in agile sprints using Git/GitHub, writing documented scripts that sped up feature releases.
Education
I.K. Gujral Punjab Technical University, Mohali Campus, Punjab, India
Bachelor of Technology (B.Tech)
CGPA: 7.3 / 10
MDJV, Jaunpur, India
CBSE Class XII (AISSCE)
Aggregate: 76.8%
Skills
PROJECTS
VocalFlow AI — AI-Powered Communication Skill Enhancer
Built a fully responsive Next.js + TypeScript frontend with Tailwind CSS, custom hooks, and smooth Framer Motion transitions to deliver real-time speech input and sub-second pronunciation feedback.
Implemented reusable, mobile-first UI components (waveform visualizer, live scoring cards, progress dashboard) consuming a Python Flask API and the OpenAI API.
Tech Stack: Next.js, TypeScript, Tailwind CSS, Framer Motion, Python, Flask, OpenAI API
AgriVision AI — Plant Disease Detection System
Built a responsive React + TypeScript interface with drag-and-drop image upload, animated result cards, and Tailwind-styled confidence-score visualizations for a polished, mobile-friendly UI.
Trained a CNN in Python/TensorFlow to classify crop leaf pathogens at 94.5% test accuracy, exposed to the frontend through a Flask/FastAPI REST endpoint.
Tech Stack: React, TypeScript, Tailwind CSS, HTML5/CSS3, TensorFlow/Keras, CNN, OpenCV, Flask/FastAPI
VaayuFlow — AI-Powered Air Quality Analytics Platform
Built an interactive React dashboard with live-updating Chart.js visualizations, city-wise filters, smooth data-transition animations, and a responsive dark/light layout to track pollutant trends at a glance.
Built a Python backend pipeline that ingests live pollutant data from public APIs and computes real-time rolling aggregates with Pandas/NumPy, served to the frontend via REST endpoints.
Tech Stack: React, JavaScript, Chart.js, CSS3, Python, Pandas, NumPy, REST API
EXTRACURRICULAR ACTIVITIES & ACHIEVEMENTS
Finalist, Top 20 National Bracket — Code for Bharat Hackathon
Led a cross-functional team to a top-20 national placement out of thousands of submissions.
Semi-Finalist, Top 100 National Bracket — ISRO Bharatiya Antariksh Hackathon
Led system pipeline design and data modeling for the team's national-round entry.