Hello, I'm
Dinesh Solanki
AI Specialist | Generative AI & LLM Specialist | AI Automation | Prompt Engineer
About Me
A passionate AI/ML Engineer with expertise in generative AI, automation, and intelligent systems.
I am an AI/ML Engineer and generative AI specialist with a Bachelor's in Artificial Intelligence & Machine Learning from Cambridge Institute of Technology, Bengaluru. My experience includes working with Stable Diffusion, Large Language Models (LLMs), LoRA, multimodal AI, and workflow automation. I am proficient in advanced model architectures like CNN, LSTM, and ResNet, utilizing deep learning libraries such as PyTorch, TensorFlow, and HuggingFace Transformers.
My work spans from EEG-based neuro-AI diagnostics to LoRA-based model fine-tuning and generative video summarization. I have extensive deployment expertise in N8N workflow automation, CrewAI agent orchestration, and LangChain pipelines. My specialization lies in prompt engineering, Retrieval-Augmented Generation (RAG), vector databases like FAISS and Supabase, and Dockerized cloud/edge AI deployment.
Research Publications
Peer-reviewed contributions advancing state-of-the-art in AI and machine learning
Springer Singapore 2025
Generative AI-Powered Tool for Automated Video Summarization
Proceedings of SmartCom 2025, Volume 4
This research introduces a generative AI framework implementing hierarchical spatio-temporal video content analysis through integrated convolutional neural networks (CNNs) for multi-scale feature extraction, transformer-based large language models for semantic and contextual understanding, and multimodal natural language processing techniques. The proposed system employs sophisticated encoder-decoder architectures with attention mechanisms.
Workshop
Generative AI Workshop
Presented at the World Resources Webinar
I presented at the World Resources Webinar on generative AI fundamentals, architectures, and real-world applications. Led by Cambridge Institute of Technology Bangalore faculty and student researchers, covering GANs, VAEs, Transformers, transfer learning, and ethical considerations in generative AI development.
Watch Full PresentationProfessional Experience
Driving innovation in AI and machine learning through impactful roles.
JULY 2025 - PRESENT
AI Specialist
- Developing and implementing AI-driven digital marketing strategies to enhance campaign performance.
- Automating and optimizing internal workflows using advanced AI and agentic systems.
- Researching and integrating the latest generative AI models to create innovative marketing solutions.
APR 2025 - JUL 2025
Agentic AI Intern
- Engineered cutting-edge Agentic AI systems integrating CrewAI, LangChain, and RAG to revolutionize marketing operations.
- Automated core digital marketing workflows, including SEO and Google Ads, leading to a 60% reduction in manual effort.
- Applied advanced prompt engineering and built custom API integrations, achieving a 3x boost in content delivery speed.
MAY 2024 - APR 2025
Team Lead
Samsung R&D Institute India - Bangalore
- Engineered a platform-agnostic, CLI-based pipeline by reverse-engineering UI dependencies and leveraging advanced diffusion techniques.
- Eliminated vendor lock-in, enabling GPU-accelerated, high-fidelity generative workflows across diverse environments.
- Achieved image quality accuracies of up to 80% and received Outstanding and Excellence awards from SRI-B for the innovation.
OCT 2023 - MAY 2024
Research Intern
Samsung R&D Institute India - Bangalore
- Engineered an AI-driven Video Q/A chatbot using transformer architectures (Video-LLaVA-7B) and Whisper for high-accuracy transcription.
- Achieved transcript accuracies of up to 96% and enhanced the NLP pipeline with GPU-accelerated hyperparameter tuning.
- Significantly lowered latency and improved precision, setting a new benchmark in multimedia AI applications.
Technical Skills
A comprehensive overview of my technical toolkit and areas of expertise.
AI & Machine Learning
- LLM
- Generative AI
- RAG
- Stable Diffusion
- NLP
- Computer Vision
- Deep Learning
- Reinforcement Learning
- Neuroinformatics
Frameworks & Libraries
- LangChain
- CrewAI
- PyTorch
- TensorFlow
- HuggingFace
- Keras
- Scikit-learn
- OpenCV
- Pandas
- Matplotlib
Tools & Platforms
- N8N Automation
- Docker
- Supabase
- Vector DBs (FAISS)
- Git
- Flask
- Dialogflow
- GCP
- AWS SageMaker
- Azure ML
Specializations & Languages
- Prompt Engineering
- Marketing Automation
- Agentic AI
- MLOps
- API Development
- Agile
- Python
- JavaScript
Projects
Showcasing my work in AI, machine learning, and automation.
LLM Code Assistant
An AI-powered tool to assist developers with real-time, context-aware code suggestions.
View on GitHubFinance Agent
An AI agent for financial tasks and analysis using Large Language Models.
View on GitHubMECE Audience Segmentation
A project focused on audience segmentation using MECE principles.
View on GitHubEEG-Based Classification
A machine learning model to classify age and gender from EEG signal data.
View on GitHubDynamic Pizza Sales Dashboard
An interactive dashboard for visualizing pizza sales data.
View on GitHub