Computer Science PhD Student | Full Stack Software Developer | AI & ML Engineer
Iβm a Full-Stack Software Developer and AI/ML Engineer currently completing my PhD in Computer Science at Saint Louis University. I have certifications in IBM Generative AI Engineering and Full Stack Software Development, with expertise in building intelligent, scalable applications using React, Flask, Django, Node.js, and modern machine learning techniques. My workflow follows Agile methodologies and microservices architecture, with experience in REST API development, Git/GitHub, CI/CD, Docker, Kubernetes, and unit testing. I previously contributed to event-driven vision and robotics research at SLU AIRLab. Iβm passionate about developing clean, real-world software solutions at the intersection of full-stack systems and AI.
Feel free to reach out to me via the following channels:
Technologies and tools utilized across various development projects:
A web platform built to help students from Jamia Millia Islamia and Jamia Hamdard University find off-campus housing and roommates without brokers. It connects students with verified local listings and provides info on nearby PGs, food spots, and services.
Tech Stack: HTML, CSS, Bootstrap, Flask, SQL
Learn MoreDeveloped an AI-powered dashboard to provide real-time insights on Kashmir's economy, tourism, agriculture, and politics using GPT-4. ChatGPT generates clean summaries and visual trends on-demand.
Tech Stack: React, Flask, OpenAI API
Learn MoreBuilt a smart web application that analyzes resumes against job descriptions using TF-IDF vectorization and cosine similarity. Supports PDF/DOCX uploads and job scraping via Proxycurl API.
Tech Stack: React, Flask, scikit-learn, Bootstrap
Learn MoreDeveloped a web-based feedback platform as a class project using React and TypeScript, enabling peer evaluations and instructor monitoring in educational settings. Implemented CI/CD pipelines and version control with Git for efficient deployment.
Tech Stack: React, TypeScript, Git, CI/CD
Learn MoreBuilt a regression pipeline at the Computer Vision Lab, Saint Louis University, to predict petal counts from raw flower images using pretrained CNNs like ResNet50 and VGGNet. ResNet50 delivered the highest accuracy on annotated image datasets.
Tech Stack: Python, PyTorch, CNNs (ResNet50, VGG), OpenCV
Built an image classification and segmentation pipeline during an internship at IIIT Nagpur using CNNs like InceptionV3, ResNet50, and AlexNet. Achieved 0.80 IoU and 0.88 F1-score using Otsuβs method for segmentation.
Tech Stack: Python, TensorFlow, OpenCV, CNNs
Designed a pose estimation pipeline using event cameras and Structure-from-Motion for accurate 3D satellite reconstruction, optimized for dynamic space environments.
Learn MoreSubmitted to: IEEE Access
Read PaperAuthors: S.S. Malik, A. Khan, Dr. Sapna Jain
Presented at the International Conference on ICT for Sustainable Development, Goa, India; published in the book series βICT Systems and Sustainabilityβ (Springer Nature).
Read PaperAuthors: Shahid Shabeer Malik, Aneeque Khan
Published in: IEEE Xplore
Read PaperJuly 15, 2025
Our paper "EvSat3D: Satellite Pose Estimation and 3D Reconstruction with Event Camera" was published in IEEE Access, contributing to advancements in event-based vision for space applications.
Starting Fall 2025
Tech Lead for open-source software projects at Saint Louis University, guiding and mentoring undergraduate students in building real-world applications as part of their capstone projects.
April 20, 2025
Received an internship offer from Neurobus in Paris, France, to work on implementing reinforcement learning for autonomous drone navigation using event cameras and other sensors.
September 18, 2024
Presented a poster titled "3D Satellite Pose Estimation and Reconstruction with Neuromorphic Cameras." Midwest Computer Vision Workshop, Indiana University Bloomington, September 16-17, 2024.