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AI Engineer with 1+ years in Generative AI, LLMs & Data Engineering
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AI Engineer with 1.9 years of experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Healthcare AI, and Data Engineering. Expert in Azure Databricks, LangChain, FastAPI, BERT fine-tuning, DICOM/PET-CT medical imaging analysis, and large-scale ETL architecture delivering measurable business impact.
Sri Shakthi Institute of Engineering and Technology
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2021 – June 30, 2025
Doctorassist.AI
AI Developer
December 1, 2025 – April 1, 2026
India
Klodev
AI Data Engineer
August 1, 2025 – November 1, 2025
Coimbatore, Tamil Nadu, India
Klodev
AI Data Engineer Intern
July 1, 2024 – July 1, 2025
Coimbatore, Tamil Nadu, India
Big Data Foundation & LLM-Enhanced Pipelines
June 29, 2026 – Present
Migrated 25+ legacy SQL workflows into Databricks pipelines, cutting processing time from 8 hours to 45 minutes; designed end-to-end fact-dimension data warehouse supporting 50+ analytical dashboards. Built canonical matching framework with 45+ ML models achieving 97% accuracy across 5M+ entities; integrated LLM enrichment layer improving data completeness by 35% for 200+ intelligence fields.
NL-to-SQL Generator - Natural Language to SQL Converter
June 29, 2026 – Present
Built Flask app converting natural language queries to SQL via self-hosted LLM, enabling 200+ non-technical users to query databases. Achieved 90% SQL translation accuracy reducing query errors by 40%.
Address Parsing Using BERT Model Fine-Tuning
June 29, 2026 – Present
Curated and preprocessed 100K+ global address records; fine-tuned BERT NER from 93% F1-score validated across 15 address formats and 10K+ test cases. Deployed production Flask API with MySQL backend processing 5,000+ address queries/day at sub-second latency.
Cultural Fit Analysis
The candidate's project diversity, ranging from big data foundations and LLM-enhanced pipelines to medical imaging analysis and NL-to-SQL generators, indicates a broad interest and adaptability. The roles at Doctorassist.AI and Klodev align well with the target AI Engineer role, demonstrating a consistent career path in AI/ML and data engineering. The breadth of skills, including various LLMs, cloud platforms (Azure), and MLOps practices, suggests a proactive approach to learning and a willingness to engage with diverse technical challenges, which is a positive indicator for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication', 'Team Collaboration', and 'Technical Documentation' as professional skills. The project descriptions also implicitly demonstrate problem-solving and communication through clear articulation of challenges and solutions. The diverse project portfolio and experience across different companies (Doctorassist.AI, Klodev) suggest adaptability and a collaborative mindset, which are crucial for operational fit in dynamic AI engineering teams.