AI Engineer with 2+ years in LLMs, RAG, and Computer Vision
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Assessing your cultural and operational fit
Data Analyst with 2+ years of experience building AI-powered backend systems using Python, SQL, and REST APIs. Experienced in RAG-based chatbots, LLM fine-tuning (LoRA), and computer vision using YOLO. Proficient in scalable backend development and ML integration to deliver real-time intelligent insights. Passionate in building AI-driven systems that combine NLP, LLMs, and backend engineering to deliver intelligent and scalable data solutions.
Aditya College of Engineering
Bachelor of Technology · Electronics & Communication Engg
August 1, 2019 – June 30, 2023
Fluent Grid
Data Analyst (AI Backend & ML Systems)
August 1, 2024 – Present
India
Fluent Grid
Data Science Trainee
February 1, 2024 – August 1, 2024
India
PDF-Based RAG AI Assistant
January 1, 2025 – June 1, 2026
• Developed a RAG-based system for querying PDF documents using embeddings and vector search • Implemented document chunking, retrieval, and LLM-based response generation
Domain-Specific SQL Generator (LLM Fine-Tuning)
January 1, 2025 – January 1, 2026
• Fine-tuned Tiny Llama using LoRA for domain-specific text-to-SQL generation • Built backend logic for query execution and structured data interaction
AI Adoption Award
Unknown
January 1, 2026 – Present
Computer Vision with OpenCV & Deep Learning
Udemy
November 1, 2025 – Present
Data Analytics & Visualization
Coursera
March 1, 2024 – June 1, 2024
AWS Cloud Practitioner
Unknown
February 1, 2022 – August 1, 2022
Cultural Fit Analysis
The candidate's project diversity, including personal projects like 'PDF-Based RAG AI Assistant' and 'Domain-Specific SQL Generator', alongside professional experience in AI-powered platforms and computer vision, indicates a strong interest and initiative in the AI domain. Their role as 'Data Analyst (AI Backend & ML Systems)' aligns well with an AI Engineer target role, demonstrating practical application of AI/ML concepts in a business context. The breadth of skills listed (Python, SQL, ML, DL, NLP, CV, LLMs, RAG, LoRA, AWS) suggests a versatile individual eager to explore different facets of AI engineering. The certifications further support a commitment to continuous learning and skill development, which is a positive indicator for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate's resume indicates a results-oriented approach, quantifying improvements in efficiency, accuracy, and reduced manual effort. This suggests a focus on practical application and operational impact. The project diversity and continuous learning (certifications) point to a proactive and adaptable individual. However, without direct assessment data on communication or teamwork, these aspects are inferred from the structured and clear presentation of their work.