Jay Thoriya Portfolio

About me

Innovative Lead AI/ML Engineer experienced in orchestrating scalable, multi-agent AI platforms and cloud infrastructure. Passionate about transforming complex business requirements into automated, user-centric AI products. Specializing in Generative AI, Large Language Models (LLMs), and intelligent document processing, I excel at delivering end-to-end architectures from scratch. I am eager to contribute to cutting-edge projects in a dynamic environment that encourages continuous learning and professional growth.

What i'm doing

Generative AI & LLMs

Building multi-agent AI platforms and LLM-powered solutions for enterprise-grade automation and intelligent document processing.
Machine Learning & Deep Learning

Designing advanced ML/DL pipelines for OCR, NLP, computer vision, and predictive analytics at scale.
Cloud Architecture & DevOps

Managing scalable AWS infrastructure, containerized environments with Docker, and CI/CD pipelines for zero-downtime deployments.
Intelligent Document Processing

Automating high-volume document extraction and analysis with 98%+ precision using OCR and ML pipelines.

Resume

Education

Parul Institute Of Technology, Vadodara
2021 — 2025
Pursuing Bachelor's degree in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning, maintaining 7.6 CGPA. Actively involved in academic projects, hackathons, and collaborative team activities to enhance practical skills and real-world experience.
AB Higher Sec. School, Navsari
2020 — 2021
Graduated with a strong foundation in science, securing 72% marks. Developed an interest in technology and problem-solving through coursework and extracurricular activities.
Neelkanth Higher Sec. School, Navsari
2018 — 2019
Completed secondary education with 70%, focusing on mathematics and science. Engaged in school-level competitions and activities that encouraged curiosity and teamwork.

Experience

Lead AI/ML Engineer
Safalsoftcom | Aug, 2025 — Present
As a Lead AI/ML Engineer, I architected and deployed an ecosystem of 8+ enterprise AI modules for a multi-domain procurement platform. By leveraging Large Language Models (LLMs), OpenSearch vector databases, and advanced OCR pipelines, I automated end-to-end workflows and reduced manual intervention by up to 75%. Additionally, I orchestrated scalable AWS cloud infrastructure and Docker containerization, accelerating CI/CD release cycles by 40% and ensuring secure, zero-downtime deployments.
AI/ML Engineer
Pickabook | March, 2025 — Aug, 2025
At Pickabook, I developed an end-to-end, multi-modal Generative AI platform that dynamically crafts personalized children's storybooks. I designed an advanced image processing architecture to extract facial features from user-uploaded family photos and integrate them into consistent cartoon illustrations. Furthermore, I fully automated the e-commerce and print-on-demand fulfillment workflow, instantly compiling user-editable PDFs and dispatching them to external printing vendors upon secure checkout.
AI Data Engineer / Consultant
Yuktii Venture | Jan, 2025 — March, 2025
At Yuktii Venture, I built a predictive social media optimizer and analytics engine utilizing machine learning, Generative AI, and SQL. I automated high-volume data scraping pipelines across platforms like YouTube, Instagram, and LinkedIn, reducing manual research efforts by 70%. To empower data-driven decisions, I created dynamic visualization dashboards to track KPIs and forecast audience behavior, successfully improving post engagement rates by 30%.
LLM Engineer Intern
Bitcoding | Jun, 2024 — Sept, 2024
At Bitcoding, I focused on enhancing AI's capabilities by fine-tuning large language models for improved natural language understanding and generation. I developed intelligent applications by integrating LangChain and OpenAI APIs, while also designing LSTM models for sequence prediction and chatbot functionality. By implementing Retrieval-Augmented Generation (RAG) techniques, I ensured the AI systems delivered highly relevant and accurate responses.
Machine Learning Intern
Mentorness | March, 2024 — April, 2024
During my time at Mentorness, I spearheaded machine learning projects that optimized predictive models and enabled insightful decision-making. I worked extensively with data, employing advanced cleaning, feature engineering, and visualization techniques to enhance model performance. Experimenting with various algorithms, I developed solutions tailored to unique datasets, driving impactful results in machine learning applications.
Web Development Intern
Tritone Music | Dec, 2022 — March, 2023
As a web development intern at Tritone Music, I specialized in creating dynamic and engaging web experiences using React.js. I collaborated with a talented team to streamline workflows, improve design processes, and deliver innovative projects in a fast-paced environment. My work focused on building intuitive user interfaces that enhanced interactivity and provided seamless web experiences.