I specialize in building advanced, end-to-end AI solutions using modern LLMs, computer vision, and agent-based architectures. My expertise includes NanoGPT finetuning, LoRA/QLoRA optimization, LangChain and LangGraph pipelines, chatbot agent orchestration, OpenCV computer vision systems, reinforcement learning models, Whisper finetuning, and intelligent automation workflows. With a strong mathematical foundation and a research-driven mindset, I focus on designing models and systems that are not only accurate, but also efficient, scalable, and aligned with real-world use cases. Whether you need custom LLM training, RAG pipelines, model optimization, speech-to-text tuning, advanced CV modules, or fully orchestrated AI agents, I deliver clean, well-structured, and production-ready implementations. From dataset preparation and research analysis to model training, evaluation, integration, and deployment, I handle the complete development lifecycle. My goal is to provide high-quality engineering with clear communication, fast delivery, and a strong focus on solving your problem the right way.

Priyanshu Dayal

I specialize in building advanced, end-to-end AI solutions using modern LLMs, computer vision, and agent-based architectures. My expertise includes NanoGPT finetuning, LoRA/QLoRA optimization, LangChain and LangGraph pipelines, chatbot agent orchestration, OpenCV computer vision systems, reinforcement learning models, Whisper finetuning, and intelligent automation workflows. With a strong mathematical foundation and a research-driven mindset, I focus on designing models and systems that are not only accurate, but also efficient, scalable, and aligned with real-world use cases. Whether you need custom LLM training, RAG pipelines, model optimization, speech-to-text tuning, advanced CV modules, or fully orchestrated AI agents, I deliver clean, well-structured, and production-ready implementations. From dataset preparation and research analysis to model training, evaluation, integration, and deployment, I handle the complete development lifecycle. My goal is to provide high-quality engineering with clear communication, fast delivery, and a strong focus on solving your problem the right way.

Available to hire

I specialize in building advanced, end-to-end AI solutions using modern LLMs, computer vision, and agent-based architectures. My expertise includes NanoGPT finetuning, LoRA/QLoRA optimization, LangChain and LangGraph pipelines, chatbot agent orchestration, OpenCV computer vision systems, reinforcement learning models, Whisper finetuning, and intelligent automation workflows.

With a strong mathematical foundation and a research-driven mindset, I focus on designing models and systems that are not only accurate, but also efficient, scalable, and aligned with real-world use cases. Whether you need custom LLM training, RAG pipelines, model optimization, speech-to-text tuning, advanced CV modules, or fully orchestrated AI agents, I deliver clean, well-structured, and production-ready implementations.

From dataset preparation and research analysis to model training, evaluation, integration, and deployment, I handle the complete development lifecycle. My goal is to provide high-quality engineering with clear communication, fast delivery, and a strong focus on solving your problem the right way.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Advanced

Work Experience

AI engineer at stealth mode
January 3, 2021 - Present
my role is to create chatbots, prediciton models, agents orchestration and statistical analysis of the data

Education

Btech at Army Institue of technology pune, INDIA
January 3, 2017 - January 3, 2021

Qualifications

Consolation Prize DRDO Dare to Dream Contest 2.0 (2021)
January 1, 2021 - January 1, 2021
Gold Award KPIT Sparkle (2020) – Cash Prize ₹5 Lakh
January 1, 2020 - January 3, 2020

Industry Experience

Software & Internet, Professional Services, Computers & Electronics
    paper AI chatbot with RAG support

    This project implements an AI-powered restaurant chatbot that leverages Retrieval-Augmented Generation (RAG) to provide personalized food recommendations and assist users with their dining experience. The chatbot intelligently suggests dishes based on user preferences, dietary restrictions, and desired spice levels, while also providing drink and dessert recommendations.

    Key Features:

    Personalized Recommendations: Suggests vegetarian, non-vegetarian, spicy, kid-friendly, and allergen-free dishes.

    Retrieval-Augmented Generation (RAG): Uses a knowledge base of menu items and ingredients to provide accurate, context-aware responses.

    Interactive Chat Interface: Full-page web interface for modern chat applications, with user queries and AI responses

    Allergen & Dietary Awareness: Ensures safe recommendations by filtering items based on dietary restrictions or allergies.