Sushant Duggal
Full-Stack Dev

About Me

I'm a final-year BSc Computer Science student at Kirori Mal College (University of Delhi), passionate about building things that sit at the intersection of software engineering and machine learning. I enjoy crafting clean, performant code — whether it's a geospatial routing engine in Python or a responsive web app in MERN Stack.

When I'm not coding, I'm exploring NLP research, contributing to open-source, or trying to squeeze better performance out of algorithms. I believe in learning by building — every project is a chance to go deeper.

  • Languages
    Python, C++, JavaScript, SQL
  • ML & AI
    Scikit-learn, TensorFlow, Keras, NLP, Word2Vec, NLTK
  • Web Dev
    HTML, CSS, JavaScript, Bootstrap, Flask, React, Node.js, Express, MongoDB, RESTful APIs
  • Tools & CS
    Git/GitHub, DSA, OOP, OS, MySQL, XAMPP, LaTeX
  • Jan 2024 – Jun 2024
    Intern (Volunteer) at PAHAL NGO — Streamlined documentation for 6 community projects, conducted digital literacy workshops for 75+ students, cut report turnaround by 25%.
  • Aug 2022 – Oct 2022
    Localisation Data Expert at Khan Academy India — Standardised 5,200+ educational records across 10+ subjects, improved metadata accuracy to 95%, and contributed to content for 1M+ Indian learners.
  • Nov 2022 – Jul 2026
    BSc Physical Sciences with Computer Science — Kirori Mal College, University of Delhi (CGPA: 8.00)
  • 2022
    Class XII PCM with CS — Kulachi Hansraj Model School (91%)
  • 2020
    Class X — Kulachi Hansraj Model School (89.4%)

What I Do

Web Development

Building responsive, performant web apps using HTML, CSS, JavaScript and Flask. From clean static sites to full-stack apps with RESTful APIs — I make things that work beautifully across every device.

See Projects →

ML & AI Engineering

Designing and training machine learning models using Scikit-learn, TensorFlow, and Keras. Specialising in NLP pipelines, sentiment analysis, and data-driven insights from real-world datasets.

See Projects →

Algorithm & Data Engineering

Engineering high-performance algorithms for complex problems — geospatial pathfinding, graph analysis, KD-Tree indexing, and large-scale dataset processing with Python and NetworkX.

See Projects →

Certifications

Supervised Machine Learning

Stanford University · Coursera · Sep 2025

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Operating Systems

Google · Coursera · Jul 2025

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The Bits & Bytes of Computer Networking

Google · Coursera · Jul 2025

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My Projects

Geospatial Navigator

Geospatial Navigator

Full-stack A* pathfinding engine for Delhi NCR processing 100,000+ nodes from OpenStreetMap. 40% latency reduction over Dijkstra. Flask API + Leaflet.js frontend.

PythonFlaskLeaflet.js
Friends TV NLP Analysis

Friends TV NLP Analysis

Analysed 22,000+ dialogue lines using Word2Vec & NLTK. Sentiment analysis with 92% precision. Interaction networks visualised across 10 seasons for 8 lead characters.

PythonNLPWord2Vec
Portfolio & Clone Websites

Portfolio & Clone Websites

2 responsive websites built with HTML, CSS, JS, and Bootstrap. 100% mobile compatibility verified via Lighthouse audits. Clean Git-tracked deployment.

HTML/CSSJSBootstrap
More on GitHub