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AI Engineer with 2+ years in LLMs, RAG, and Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.