AI Engineer with 1+ years in Generative AI, LLM Systems & Cloud Deployment
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AI Engineer with ~2 years of experience designing, building and deploying production-grade generative-AI systems. Expert in Python, AWS Bedrock/OpenAI APIs, vector search and Dockerised micro-services. Delivered voice assistants, multi-agent platforms and RAG search products that handle 10 k + requests per day while cutting latency and boosting retrieval accuracy. Adept at the full lifecycle from data ingestion and model training to low-latency API delivery and monitoring.
Sardar Vallabhbhai Institute of Technology
Bachelor's of Engg. · Computer Engineering
August 1, 2021 – June 30, 2025
Netweb Software
AI Engineer
January 1, 2025 – Present
Vadodara, Gujarat, India
Solutions and Strategy
Machine Learning Intern
July 1, 2024 – September 1, 2024
Vadodara, Gujarat, India
Utkarshini Edutech
Artificial Neural Network Intern
April 1, 2023 – August 1, 2023
India
Real-Time Virtual Painter Using AI
June 24, 2026 – Present
Applied computer vision for gesture-to-command translation, demonstrating real-time interaction modeling for intelligent agents.
View ProjectSentiment Analysis on Food Reviews
June 24, 2026 – Present
Worked with text data, applied tokenization, and trained Roberta Pretrained Model and VADER using NLTK and HuggingFace, achieving high accuracy in classifying reviews into positive, negative, or neutral categories.
View ProjectLangChain for LLM Application Development
DeepLearning.AI
June 1, 2026 – Present
Machine Learning Certification Course
Internshala
June 1, 2026 – Present
Python
GeeksforGeeks
June 1, 2026 – Present
Prompt Engineering for Developers
Databricks
June 1, 2026 – Present
AI/ML Foundations
LinkedIn Learning
June 1, 2026 – Present
Python Essentials
LinkedIn Learning
June 1, 2026 – Present
Multi-Agent Systems with CrewAI
DeepLearning.AI
June 1, 2026 – Present
Data Science Simulation (British Airways)
Forage
June 1, 2026 – Present
Generative AI Fundamentals
Databricks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and work experience show a strong focus on AI/ML, particularly generative AI and LLM systems, which aligns well with an 'AI Engineer' target role. The diversity of projects, from real-time virtual painters to sentiment analysis and complex enterprise AI systems, indicates a broad interest and adaptability within the AI domain. The certifications further reinforce a proactive learning attitude. The candidate's experience with distributed systems and cloud deployments suggests a readiness for scalable, production-grade environments.
Soft Skills & Operational Fit
The candidate's resume highlights 'Strategic Problem Solving', 'Organized', 'Cross-Functional Collaboration', and 'Technical Communication' as soft skills. The project descriptions and work experience demonstrate an ability to work on complex, end-to-end AI systems, suggesting good operational fit for roles requiring structured problem-solving and collaborative development.