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AI Engineer with 4+ years in Data Analysis & Generative AI.
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Assessing your cultural and operational fit
AI/ML Engineer transitioning to data analytics, with hands-on experience building data pipelines and extracting actionable insights from complex datasets. Developed SQL query generation systems and RAG-driven analytics solutions during B.Tech in AI/ML. Analytical problem-solver committed to data accuracy and delivering business value through data-driven recommendations.
Sri Shakthi Institute of Engineering and Technology
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
YAVAR.AI
AI Engineering Intern
January 1, 2022 – June 1, 2026
Coimbatore, Tamil Nadu, India
RAG-driven Intelligent Response System
June 1, 2026 – Present
• Developed a retrieval-augmented generation system using Mistral AI and LLaMA for context-aware data responses • Integrated ChromaDB for efficient data retrieval and implemented prompting strategies to deliver accurate insights
Automated Text-to-SQL (Gemini Pro)
June 1, 2026 – Present
• Developed a system leveraging Gemini Pro LLM to convert natural language queries into SQL statements • Customized for domain-specific schemas, achieving high accuracy in query generation for data analysis workflows
Repo2Reel
June 1, 2026 – Present
• Built a Flask web app that converts GitHub repositories into AI-narrated video tutorials using LLMs for script generation • Integrated TTS for voiceover and MoviePy/FFmpeg for professional video output
NCC C Certificate
Unknown
June 1, 2026 – Present
Scalar SQL
Unknown
June 1, 2026 – Present
Machine Learning Virtual Internship
Unknown
June 1, 2026 – Present
Deep Racer 2023
AWS
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI/ML to diverse problems, from video generation to data extraction and SQL generation. The internship at YAVAR.AI aligns well with an AI Engineer role, showing exposure to enterprise AI solutions. The breadth of skills and technologies used across projects and experience indicates adaptability and a proactive learning attitude, which are positive indicators for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to work on complex technical problems and collaborate on scalable AI systems. The focus on data accuracy, problem-solving, and delivering business value indicates a good operational fit for roles requiring meticulous attention to detail and practical application of AI.