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Junior AI/ML Engineer Intern with less than a year in Machine Learning & Web Development
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Viral Ghataliya is an aspiring AI/ML Engineer with hands-on internship experience in developing and deploying machine learning models and scalable web applications. Proficient in Python, deep learning frameworks like PyTorch, and cloud platforms like AWS, he has a solid foundation in end-to-end ML lifecycle tasks. His project work demonstrates practical application of RAG pipelines, LLMs (Google Gemini), and UI frameworks like Streamlit for innovative AI solutions.
V. V. P. Engineering College
Bachelor of Engineering · Computer Engineering
September 1, 2023 – May 1, 2026
A. V. Parekh Technical Institute
Diploma in Engineering · Computer Engineering
September 1, 2020 – June 1, 2023
FICE Education X Microsoft Elevate
AI/ML Engineer Intern
January 1, 2026 – April 1, 2026
India
SmartBridge Indonesia
AI/ML Intern
June 1, 2025 – August 1, 2025
India
DocuMancer: PDF Query Assistant Using AI
June 1, 2026 – Present
Developed an AI-powered document interaction system that enables users to upload PDFs and query content using natural language. Implemented text chunking and vector store creation using Google Generative AI embeddings for efficient semantic search. Built a RAG pipeline using FAISS for high-performance vector similarity search, ensuring model responses were grounded in indexed document content. Integrated Google Gemini LLM with a conversational retrieval chain to generate accurate, context-aware responses. Designed an interactive Streamlit UI for seamless document upload, querying, and response display.
View ProjectBeyond the Veil of Wellness: Animal Health Classification
June 1, 2026 – Present
Implemented machine learning algorithms Random Forest to classify health conditions from visual symptoms, behavioral patterns, or medical data with 96% accuracy. Applied data preprocessing, feature extraction, and supervised learning algorithms to accurately classify health status based on symptoms, behavioral patterns, or medical attributes. Integrated a ML model into a Flask web application using Python for an AI-powered animal health website.
View ProjectNPTEL "Python for Data Science" course
NPTEL
June 1, 2026 – Present
LLM Basics, Mastering the Art of Prompting
IBM
June 1, 2026 – Present
Generative AI and Large Language Models (LLMs) certifications
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects (PDF query assistant, animal health classification) and internships with different organizations (FICE Education X Microsoft Elevate, SmartBridge Indonesia) suggests an openness to varied challenges and learning environments. The role as 'Main Coordinator of the AI Club' indicates initiative and potential for collaboration. The breadth of skills and technologies explored aligns with a dynamic, learning-oriented culture. However, without specific cultural assessment data, this remains an inference.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences indicate a proactive approach to learning and applying AI/ML concepts. Involvement in an 'AI Club' suggests teamwork and leadership potential. The remote nature of internships demonstrates adaptability. However, without direct assessment data on communication or psychometric traits, a comprehensive evaluation of soft skills and operational fit is limited.