Kamal Jit
Machine Learning | Deep Learning & AI Engineer
I am an AI Engineer specializing in Deep Learning architectures, PyTorch neural networks, Enterprise RAG systems, and AI Security Guardrails. I built Gradient School as an open, production-grade educational platform to bridge the gap between abstract academic theory and robust, scalable AI engineering.
Production First
No toy code or pseudo-implementations. Every guide, notebook, and architecture blueprint is designed to withstand production workloads and edge cases.
Mathematical Rigor
Formulas are not skipped. From cosine similarity in high-dimensional vector spaces to cross-entropy loss gradients, every concept is mathematically grounded.
Security & Guardrails
AI systems are vulnerable by default. We emphasize defense-in-depth, prompt injection hardening, and deterministic structured outputs.
Core Engineering Competencies
Full-spectrum capabilities spanning foundational machine learning algorithms to low-latency LLM inference architectures.
Deep Learning & Neural Architectures
Deep understanding of computational graphs, autograd engines, transformer self-attention mechanisms, and custom PyTorch neural network design.
Generative AI & Enterprise RAG Systems
End-to-end production RAG pipelines featuring hybrid dense-sparse vector search, contextual chunking heuristics, cross-encoder reranking, and agentic workflows.
AI Security & Guardrails Engineering
Hardening LLM-powered applications against OWASP Top 10 vulnerabilities, indirect prompt injections, jailbreaks, data exfiltration, and delimiter hijacking.
Production MLOps & High-Performance Python
Deploying scalable AI microservices with low-latency asynchronous APIs, containerized pipelines, model quantization, and CI/CD observability.
Let’s Build Something Exceptional
Interested in AI Engineering consulting, technical advising, speaking, or content collaborations? Drop a message below.