About
Building AI-powered products and intelligent systems for business automation, financial trading, and enterprise solutions.
AI Engineering & Products
I'm Nitin Guleria, an AI engineer and founder specializing in building production-ready AI systems that deliver real business value. With over a decade of experience spanning neural networks, computer vision, and autonomous systems, I create AI solutions that solve complex problems for enterprises, financial institutions, and development teams.
My approach combines deep technical expertise with a product-focused mindset, ensuring AI systems are not just technically impressive but commercially viable and scalable. I've successfully delivered AI solutions for automotive giants, financial services, and built proprietary AI agents for DevOps automation and algorithmic trading.
AI Journey & Expertise Timeline
2014-2015: Neural Networks & Computer Vision Foundations
Started working with neural networks at University of Toronto with students who worked under Prof. Geoffrey Hinton's research group. Applied machine learning to wearable computing, Brain-Computer Interfaces (BCI), and computer vision systems with Prof. Steve Mann (father of wearable computing).
2016-2023: ML and Data Science Industry Applications
Deep dive into neural network fundamentals and data science fundamentals. Covered data science foundations, computer vision, and neural networks from the application side through hackathons and industry work (automotive: Ford, GM), startups, and small-scale industries.
2023-Present: LLMs, AI Agents & MLOps
Completed Coursera-based Andrew Ng's Math, ML and Deep Learning specializations, mastering supervised/unsupervised learning, optimization algorithms, and ML engineering best practices. Transitioned to Large Language Models, AI agents, and modern ML pipelines through Fast.ai and DeepLearning.ai courses, building production systems with:
- • AI Agents: Multi-agent systems with memory, tool use, and reasoning
- • ML Pipelines: End-to-end MLOps, model deployment, and monitoring
- • RAG Systems: Retrieval-Augmented Generation for enterprise knowledge bases
- • Fine-tuning: Custom LLM adaptation for domain-specific tasks
Current Work & Products
Founder at Spherical Inc., developing AI-powered automation and trading systems:
- Desktop Agent - Autonomous DevOps/SysAdmin agent for package installation, error troubleshooting, and infrastructure management at scale
- Algorithmic Trading Systems - AI-powered trading bots for IBKR with rapid execution, bypassing complex UIs for paper and live trading
Products
View detailed AI products and solutions in the Products section.
Education & Certifications
Master of Engineering in Computer Engineering
University of Toronto, Canada
2013 - 2015
Research with Prof. Steve Mann (Father of Wearable Computing) on computer vision and wearable computing systems.
Bachelor of Technology in Electronics Engineering
National Institute of Technology, Surat, India
2007 - 2011
AI & Machine Learning Specializations
Coursera & DeepLearning.AI (2023 - Present)
- • Introduction to Mathematics for Machine Learning Specialization (Luis Serrano)
- • Machine Learning Specialization (Andrew Ng)
- • Deep Learning Specialization (Andrew Ng)
- • Generative AI with Large Language Models
- • Computer Vision and Convolutional Neural Networks
Advanced AI Certificates (DeepLearning.AI)
- • Open Source Models with Hugging Face
- • Multi-Agent Systems with CrewAI
- • Advanced Agent Systems
- • AI Agents in LangGraph
- • Model Context Protocol (MCP) by Anthropic
- • Claude Code by Anthropic
- • Vibe Coding 101 with Replit
- • LLMs as Operating Systems: Agent Memory
Other Courses
- • Natural Language Processing (Andrew Ng)
- • Agentic AI (Andrew Ng)
- • Deploying Voice Agent with Gemini
- • AI Product Management Course (IBM)
Connect
Interested in AI research, engineering insights, or collaboration? Reach out at [email protected]