Neil Dave

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About

Neil Dave is a Bangalore-based AI Solution Architect with 7+ years of experience in Machine Learning, Deep Learning, Generative AI, and Computer Vision. He has delivered end-to-end AI solutions across healthcare, sports analytics, and enterprise tech — including projects for Mumbai Indians. He mentors 120+ professionals on LinkedIn and consults SMBs on AI adoption and strategy.

He has helped businesses leverage data-driven AI to drive measurable growth — from building custom LLMs and computer vision pipelines to deploying production ML systems with MLOps/LLMOps practices. According to McKinsey's State of AI 2024, organisations that deploy AI at scale report a 20–30% reduction in operational costs and up to 3× revenue growth compared to non-adopters — outcomes Neil has actively helped clients work toward.

The World Economic Forum Future of Jobs Report 2025 identifies AI and Machine Learning Specialists as the #1 fastest-growing job role globally, with demand rising 40% by 2027. Neil's mentorship of 120+ professionals directly addresses this skills gap in the Indian AI ecosystem.

Last updated: March 2026

Neil Dave Profile

AI Solution Architect

  • City: Bangalore, India
  • Experience: 7+ Years in AI/ML
  • Domains: Healthcare · Sports · Enterprise
  • Open to: Consulting & Advisory

I specialize in taking AI from whiteboard to production — building LLM pipelines, computer vision systems, and ML platforms that run at real-world scale. My work spans early sepsis detection in ICUs, cricket run prediction for Mumbai Indians, and enterprise Gen AI automation where latency, cost, and reliability are hard constraints — not afterthoughts.

I hold a PGP in AI & Data Science from Jio Institute and have 3 peer-reviewed publications across IEEE and Springer. Beyond delivery, I actively mentor 120+ professionals navigating AI career transitions — because the AI skills gap in India is a problem worth solving in public.

Outside work: always on the lookout for great food, new cities, and interesting people.

Publications & research work

Feature Extraction And Classification From Texture Image Of Machined Surfaces Using Multilevel Wavelet Decomposition And Logistic Regression

Authors: N.Dave, V.Vakharia, U.Kagathara, M.B. Kiran.

Publisher: Reliability and Risk Assessment in Engineering: Proceedings of INCRS-2018

Keywords: Daubechies,Discrete wavelet transform,Logistic regression,Texture

DOI: Download Full Paper

Feature extraction and classification of machined component texture images using wavelet and artificial intelligence techniques

Authors: N.Dave, V.Vakharia, U.Kagathara, M.B. Kiran.

Publisher: IEEE: 2017 8th International Conference on Mechanical and Aerospace Engineering (ICMAE)

Keywords: Entropy, Artificial neural networks, Support vector machines, Surface texture, Surface treatment

DOI: Download Full Paper

Economic evaluation of offshore wind power in west coast of India

Authors: N.Dave, G.Nagababu.

Publisher: Proceedings of World Renewable Energy Congress XVI, Perth Australia

Keywords: Offshore Wind Power, Renewal energy, Energy economics

DOI: Download Full Paper

View all on Google Scholar

Neil Dave — By the Numbers

Professionals Mentored via LinkedIn — in AI/ML career transitions WEF identifies AI specialists as #1 fastest-growing role (2025)

AI Projects deployed end-to-end across healthcare, sports & enterprise 3 peer-reviewed publications (IEEE, Springer)

Years of Experience in AI, ML and Deep Learning McKinsey 2024: AI adopters see up to 3× revenue growth

Nationalities across international teams led Global AI delivery experience across 3 continents

AI & Machine Learning Skills

Core AI / ML

Machine Learning Deep Learning NLP / LLM Engineering Computer Vision Generative AI Responsible AI

Frameworks & Libraries

PyTorch TensorFlow Hugging Face LangChain OpenAI API LangGraph Ragas scikit-learn OpenCV

Languages & Tools

Python FastAPI Streamlit SQL Azure ML MLflow LangFuse Docker

Practices

MLOps LLMOps RAG Pipelines Prompt Engineering AI Strategy CI/CD for ML

Portfolio

I am happy to share few of the sample project for coming on the same ground where my expertize can your business in mining the profit with new edge technology. Few of projects cannot be share in public domain due to privacy & IP issue.
To know more you may book an appointment.

  • All
  • Classical ML
  • Computer Vision
  • Deep Learning
  • Gen AI / LLM
  • Responsible AI
Gen AI and LLM Project
Gen AI & LLM Engineering
CricketGPT · RAG Pipelines · Production LLMs
Sepsis Detection Machine Learning
Early Sepsis Detection
Healthcare · Classification · Clinical ML
Responsible AI Project
Responsible AI Audit
Explainability · Fairness · Credit Default
Cricket Run Prediction Deep Learning
Cricket Run Prediction
Mumbai Indians · Deep Learning · Sports Analytics
Computer Vision Object Detection
Object Detection System
YOLO · OpenCV · Real-time CV
Thermal Imaging Computer Vision
Thermal Imaging CV
Breast Cancer Detection · Medical Imaging

Articles

Practical writing on LLMs, MLOps, Generative AI, and building real-world AI systems.

Agentic AI System Design Full article

30 Mar 2026 · 17 min read

I Redesigned Our Agentic AI System Three Times. Here's What I Learned

Three production redesigns — what broke each time and the four-component architecture that finally shipped. Eight diagrams covering every pattern.

Read article
LLMOps Cost Optimization Full article

29 Mar 2026 · 14 min read

The True Cost of Running Enterprise LLMs in Production (2026 Data)

A transparent, mathematical breakdown of LLM API pricing, hidden LLMOps costs, and TCO formulas so CTOs stop being surprised by their AI invoices.

Read article
AI Engineer Data Science Full article

29 Mar 2026 · 11 min read

Data Scientist vs. AI Engineer: What Actually Changes in 2026?

The titles sound similar but the work is completely different. Skills, salary, transition roadmap, and where AI Solution Architecture fits above both.

Read article
View all articles →

Newsletter

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TND Talks Newsletter
LLMs in Production: What Nobody Tells You

Practical lessons from deploying large language models at scale — latency, cost, hallucination, and the MLOps you actually need.

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TND Talks Newsletter
RAG vs Fine-Tuning: Choosing the Right Strategy

A decision framework for when to use retrieval-augmented generation versus fine-tuning your model — based on real project tradeoffs.

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TND Talks Newsletter
Breaking Into AI: Career Roadmap for 2025

The skills, projects, and networking moves that helped 120+ professionals I've mentored transition into AI/ML roles.

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I write about LLMs, MLOps, AI career growth, and the intersection of AI and business. Join professionals already reading TND Talks on Substack.




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Appointment

Frequently Asked Questions

Neil Dave is an AI Solution Architect and Data Scientist based in Bangalore, India, with 7+ years of experience in Machine Learning, Deep Learning, Generative AI (LLMs), and Computer Vision. He has built and deployed production AI systems for sports analytics, healthcare, and enterprise clients, including Mumbai Indians. He is also an active LinkedIn mentor with 120+ mentees.

Neil Dave offers AI consulting and solution architecture services including: custom ML model development, LLM/RAG pipeline engineering, computer vision system design, MLOps and LLMOps deployment, responsible AI audits, and AI strategy consulting for small and medium businesses (SMBs).

Neil Dave has delivered AI projects across healthcare (early sepsis detection, breast cancer detection via thermal imaging), sports analytics (cricket run prediction, CricketGPT LLM), financial services (credit card default prediction with Responsible AI), and enterprise technology.

You can book a consultation directly via the Appointment section on this website (powered by Calendly), connect on LinkedIn at linkedin.com/in/neil-dave/, or reach out by email at hello@theneildave.in. Neil is open to both short-term consulting engagements and long-term advisory roles.

Neil Dave's core stack includes Python, PyTorch, TensorFlow, Hugging Face Transformers, OpenAI APIs, LangChain, FastAPI, Azure ML, H2O.ai, OpenCV, and Streamlit. He has expertise in classical ML, deep learning, NLP/LLM engineering, computer vision, and MLOps/LLMOps pipelines.

Yes. Neil Dave actively mentors professionals on LinkedIn, helping 120+ individuals navigate AI career transitions, interview preparation, and skill development in Machine Learning, Deep Learning, and Generative AI. Mentorship sessions can be booked via Topmate.

Contact

Open to consulting, advisory, and speaking engagements. Drop a message or reach out directly.

Location

Bangalore, Karnataka, India

Preferred channels

LinkedIn — quickest response Book a 1:1 on Topmate Subscribe to newsletter
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