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aliiakbarkhan/README.md

Ali Akbar Khan

   

4th Year B.Tech CSE · Rajasthan Technical University · CGPA 8.75/10
Building at the intersection of Machine Learning and Software Engineering


Featured Projects

Clefairy is a native Android application designed to give women faster, more reliable access to help in emergencies. It combines multiple SOS triggers, live location tracking, an ML-powered safe-route system, an AI safety assistant (Sakhi AI), community support, and direct access to verified government help centers, all in one integrated app.

Android (Kotlin, Native) SensorManager Location Services Foreground Services FastAPI Figma


Deep learning model classifying 4 eye conditions (Cataract, Glaucoma, Diabetic Retinopathy, Normal) from retinal images at 92% accuracy using ResNet32 fine-tuned with PyTorch and Fastai. Optimized Gradio inference pipeline reduced prediction latency from several minutes to under 2 seconds.

ResNet18 PyTorch Fastai Gradio Python Deep Learning Kaggle


Random Forest classifier for breast cancer detection using clinical diagnostic data. Achieved 96% accuracy, 98% recall, and 95% F1-score. Built with full EDA pipeline, class imbalance handling, and SHAP explainability for model transparency.

Python Random Forest Scikit-learn SHAP Pandas Seaborn Kaggle


Tech Stack

Languages  ·  Java · Python · C/C++ · JavaScript · SQL · HTML/CSS · PHP

ML / Data  ·  PyTorch · TensorFlow · Scikit-learn · Fastai · OpenCV · Keras · Pandas · NumPy

Web & Backend  ·  FastAPI · Flutter · REST APIs · JDBC · Swing

Databases  ·  MySQL · MongoDB · Firebase · Supabase

Tools  ·  Git · GitHub · Figma · Gradio


Experience

Research Intern (Open Source) · VLED Lab, IIT Ropar (May 2026 – Present)

Contributing to a live open-source repository on India-centric problems — real commits, publicly accessible work.

Machine Learning Instructor · Self-Employed, Remote (Aug 2025 – Sep 2025)

Launched an ML video series on LinkedIn covering algorithms, model building, and real-world applications — 700+ organic views on debut video.

Software Developer Intern · Pinnacle Labs, Bangalore (Jun – Jul 2025)

Built Java-based applications including a Library Management System (CRUD + DB integration) and the MITM Attack & Defense Simulator using Java Crypto Libraries.

Founder · Tech10.in, Jaipur (Sep 2023 – May 2025)

Led cross-functional teams in multiple technical events and hackathons — achieved 91% improvement in operational productivity.


Highlights

  • 94% & Elite + Gold Medal — Programming in Java NPTEL 2026
  • 2nd Place — Smart India Hackathon, College Level 2024
  • 3rd Place — Innovastra National Level Hackathon 2025
  • Qualifier — Call2Code Hackathon, Manipal University 2025
  • Participant — SHANKARA Global Hackathon
  • Top 35% Globally on LeetCode · Ranked 9,600 / 36,000+ in Weekly Contest 468 · 200+ problems solved

Pinned Loading

  1. CancerScanAI CancerScanAI Public

    Breast cancer prediction with Random Forest + SHAP explainability. Deployed as a full-stack web app.

    Jupyter Notebook

  2. Eye-Disease-Detection-DL Eye-Disease-Detection-DL Public

    Eye disease detection and classifiaction using CNN.

    Jupyter Notebook 3 1

  3. RandomForestRegressor-Prediction-API RandomForestRegressor-Prediction-API Public

    A Machine Learning API for predicting California housing prices, inspired by Chapter 2 of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron.

    Jupyter Notebook

  4. Deep-Learning-Waste-Segregation Deep-Learning-Waste-Segregation Public

    Uses a deep learning model trained on image data to automatically classify waste into different categories.

    Jupyter Notebook 2

  5. Mitm-Attack-Defense-Simulator Mitm-Attack-Defense-Simulator Public

    Underdevelopment Secure File Transfer System with Man-in-the-Middle Attack Simulation and Defense Mechanisms in a Controlled LAN

    Java

  6. clefairy-app clefairy-app Public

    A women safety appliction developed using Flutter.

    Dart