Karan Singh
ML & Software Engineer working with Java, Python, and AI/ML systems. Building reliable backend architectures, version control internals, and data-driven hazard models.
$ ls projects/ ngit/ IFMS/ mine-rescue-system/ $ cat status.txt target SWE / SDE Role Internships focus ML, backend engineering, systems lang Python, Java, SQL, HTML5, CSS, Vanilla JS stack PyTorch, TensorFlow, Flask, FastAPI, NumPy, Pandas, Docker, REST APIs, PostgreSQL, MySQL now building ngit (git in Java) & SIH project
Selected Work
Core engineering projects focused on systems internals, secure workflows, and applied machine learning.
ngit
A version control system written entirely from scratch using Java NIO. Replicates Git's plumbing and porcelain: SHA-256 object storage (blobs, trees, commits), index staging area, branch references, working tree status diffs, and complete repository lifecycle management.
IFMS
An enterprise financial management platform featuring strict role-based access control (RBAC), multi-tier maker-checker approval workflows, comprehensive audit trail logging, and database-backed transactional state consistency.
Mine Rescue System
An underground mine-safety telemetry platform that processes environmental sensor feeds in real-time. Employs XGBoost, Isolation Forest, Z-score statistics, and time-to-collision (TTC) calculations for early anomaly warning and emergency response coordination.
Certifications
Formal credentials in Machine Learning, Generative AI, and Cloud Infrastructure from Stanford Online, DeepLearning.AI, and Oracle.
Machine Learning Specialization
Comprehensive 3-course specialization covering Supervised Learning (Regression & Classification), Advanced Learning Algorithms, and Unsupervised Learning & Recommender Systems. Instructed by Andrew Ng.
OCI 2025 Generative AI Certified Professional
Professional-level certification covering Large Language Models (LLMs), prompt engineering, fine-tuning, RAG architectures, embeddings, and deployment on OCI AI Infrastructure.
OCI 2025 AI Foundations Associate
Foundational certification verifying fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.
Advanced Learning Algorithms
Deep dive into multi-layer neural networks, backpropagation, activation functions, decision trees, random forests, and gradient boosting algorithms with practical implementations.
Technical Writing
Documented troubleshooting sequences, system design notes, and practical walkthroughs.
Let's Connect
I'm actively seeking SWE / SDE role internships and full-time opportunities. Whether you want to discuss systems engineering, AI/ML, or open-source projects, my inbox is always open.