Curriculum Vitae

Download CV (PDF)

Education

• B.S. in Data Science and Applications, Indian Institute of Technology Madras, Chennai. Jan 2023 – Dec 2026 (expected)
  • SGPA 7.67 / 10
  • Relevant coursework: Machine Learning Practice, Statistical Computing, Big Data Analytics, System Design
• B.Tech in Computer Engineering, Jamia Millia Islamia, New Delhi. Jul 2022 – Jun 2026
  • CGPA 8.70 / 10
  • Thesis: Low-Resource Indian Sign Language Video Generation via Compressed Multi-Condition Tokenisation (supervisor: Mr. Shamim Ahmad)
  • Relevant coursework: Responsible and Safe AI, Analysis of Algorithms, Data Mining, Database Management Systems
• Senior Secondary (CBSE), Bal Bhawan School, Bhopal. 2019 – 2021
  • Class XII (Physics, Chemistry, Mathematics): 95.8%; Class X: 95.2%; qualified JEE Advanced

Research and professional experience

• Machine Learning Intern, “Walk for Life” project, Institute of Liver and Biliary Sciences (ILBS), New Delhi. Jan 2026 – present
  • Project leads: Prof. (Dr.) Shiv Kumar Sarin (PI; Director, ILBS) and Dr. Harsh Vardhan T. (Co-PI; Associate Professor, Hepatology)
  • Built a pipeline that merges and normalises longitudinal patient records from 10+ clinical sources.
  • Developed real-time contactless vital-sign estimation (heart rate, HRV, SpO2) from webcam video using rPPG.
  • Built low-latency IPC mechanisms and data-validation constraints for concurrent telemetry streams.
• Open-source contributor: scikit-learn, scikit-bio, Keras Hub. Jan 2026 – present
  • Five merged pull requests, including a ≈24× speed-up of FastICA’s deflation path (scikit-learn #33269) and a 37% reduction in scikit-bio import time (#2427). Details

Publications and working papers

FIB-4 False Negatives in MASLD: Clinical Phenotypes and an Augmented Triage Model

M. A. Khan. (2026). "FIB-4 False Negatives in MASLD: Clinical Phenotypes and an Augmented Triage Model." Oral presentation FP5-2 (Abstract No. 10340), APASL Single Topic Conference 2026, Kumamoto, Japan.

Positional Bias in Nested Defeasible Reasoning: Order Sensitivity and Unfaithful Intermediate Steps in Small Language Models

M. A. Khan. (2026). "Positional Bias in Nested Defeasible Reasoning: Order Sensitivity and Unfaithful Intermediate Steps in Small Language Models." Manuscript in preparation.

Low-Resource Indian Sign Language Video Generation via Compressed Multi-Condition Tokenisation

H. Ali and M. A. Khan. (2026). "Low-Resource Indian Sign Language Video Generation via Compressed Multi-Condition Tokenisation." B.Tech Thesis, Jamia Millia Islamia, New Delhi. Supervisor: Mr. Shamim Ahmad.

Talks

FIB-4 False Negatives in MASLD: Clinical Phenotypes and an Augmented Triage Model

September 19, 2026

Oral presentation at APASL Single Topic Conference (STC) 2026 Kumamoto, Free Papers 5-1: MASLD/ALD 1 (FP5-2), Kumamoto, Japan

Research software and projects

• flwr-trees: federated learning for Random Forest, XGBoost and gradient-boosted trees with a scikit-learn API, built on Flower. Published on PyPI. Details
• Brain-to-Brain Decoder: dyadic EEG representation learning with CEBRA (independent study, 2026): joint embeddings of speaker and listener EEG; 0.967 k-NN decoding of affective condition, with chance-level shuffle controls. Details · Report (PDF)
• LUFY: retrieval-augmented legal-document assistant (FastAPI, ChromaDB, BM25 + dense hybrid retrieval, Docker). Details

Honours and awards

• APASL International Travel Award, APASL STC 2026, Kumamoto, Japan (2026)
• Winner, Smart India Hackathon 2024 Grand Finale, NTRO, problem statement 1680 (2024)
• Rank 98 of 32,000+ teams (top 0.3%), Amazon ML Challenge 2024 (2024)
• Winner, HackJMI 2024 (2024)
• Qualified, National Standard Examination in Physics (NSEP), top 1% nationally (2021)

Technical skills

• Languages: Python, C++, SQL, Bash
• Machine learning: PyTorch, scikit-learn, TensorFlow / Keras, Hugging Face Transformers, OpenCV, retrieval-augmented generation, local LLM inference (Ollama)
• Systems and tools: FastAPI, Flask, Docker, ChromaDB, Git and GitHub Actions, Linux, pytest, PySpark, Azure Databricks
• Foundations: data structures and algorithms, linear algebra, optimisation, discrete mathematics, system design

Teaching and outreach

Introduction to Machine Learning Workshop

Technical Workshop Series, IEEE JMI

Certifications

• Google Data Analytics Professional Certificate, Coursera (SQL, R, Tableau)
• NPTEL: Responsible and Safe AI Systems (Elite), funded by the Ministry of Education, Government of India

Service and leadership

• General Secretary, IEEE Student Branch, Jamia Millia Islamia (Mar 2024 – present): led a team of 15+ to run 10+ technical workshops for 1,200+ students
• Chief Arbiter, Piper Chess Club: organised and adjudicated tournaments for 30+ participants