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AI Engineer with less than a year in LLM-powered applications & RAG pipelines
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Junior AI Engineer with hands-on experience in developing LLM-powered applications, RAG pipelines, and AI automation solutions using Python. Skilled in building scalable AI systems with LangChain, FastAPI, and modern Generative AI technologies.
St. Joseph's College, Trichy
M.Sc Data Science · Data Science
August 1, 2023 – June 30, 2025
Holy Cross College, Trichy
B.Sc Mathematics · Mathematics
August 1, 2020 – June 30, 2023
Crea Matric Hr.Sec.School, Trichy
HSC
N/A – May 31, 2020
Crea Matric Hr.Sec.School, Trichy
SSLC
N/A – May 31, 2018
Codework AI Technologies Pvt Ltd
Junior AI Engineer
November 1, 2025 – Present
Chennai, Tamil Nadu, India
Codework AI Technologies Pvt Ltd
AI Trainee
August 1, 2025 – October 31, 2025
Chennai, Tamil Nadu, India
Yocolabs Pvt Ltd
Machine Learning Intern
February 1, 2025 – May 31, 2025
Chennai, Tamil Nadu, India
Job Fit Analysis Using NLP And Cosine Similarity
May 1, 2025 – May 31, 2025
Built an NLP system to extract skills, education, and experience from resumes. Matched resumes to job descriptions and hosted the app on Streamlit.
View ProjectVision-Based Surveillance For Cement Bag Collision Detection
February 1, 2025 – March 31, 2025
Developed a real-time system to detect cement bag collisions using computer vision. Trained a YOLOv8 model on a custom dataset annotated with LabelImg.
View ProjectAI Automations (Enterprise Applications)
January 1, 2025 – June 1, 2026
LLM & NLP Systems: 1. Symptom Checker Agent: LLM-based conversational agent chatbot providing severity-aware health guidance and consultation recommendations. [Predictive Analytics] 2. AI-Powered Email Draft: Context-aware email draft saving system that adapts tone and content based on user intent. 3. AI Study Partner: Personalized learning assistant offering adaptive explanations, quizzes, and progress tracking. 4. Plagiarism Detector: AI-based system to detect copied and paraphrased content across online and academic sources. [Multi-Source Data Integration] 5. Product Review Analyzer: NLP pipeline extracting sentiment, key themes, and trends from customer reviews. [Predictive Analytics] 6. Customer Testimonial Transformer: LLM-powered system converting raw testimonials into multi-platform marketing content. 7. Skill Gap Predictor: AI-driven platform identifying workforce skill gaps and recommending upskilling paths. [Predictive Analytics] 8. RFQ Response Generator: Automated extraction of RFQ requirements and generation of structured response drafts. [Multi-Source Data Integration] 9. E-Discovery Document Analyzer: NLP-based document classification, entity extraction, and legal risk identification. [Multi-Source Data Integration] Automation & Analytics Platforms: 1. URL Crawler: Automated web crawler to navigate websites and extract structured data for analysis. [Multi-Source Data Integration] 2. Intelligent Requirement Analyzer (IRA): NLP system detecting ambiguities and inconsistencies in requirement documents. 3. AI-Powered Grading System: Automated evaluation platform providing consistent grading and feedback. [Predictive Analytics] 4. API Health Monitor Agent: Real-time API monitoring system detecting failures and performance anomalies. Computer Vision Systems: 1. Fire Detection: Real-time fire and smoke detection from live video streams using computer vision. 2. PPE Detection: Video-based compliance monitoring for safety gear detection in industrial environments. 3. Facial Recognition: Secure facial identification and verification using feature extraction techniques.
View ProjectBible Companion AI Intelligent eBook & Multimodal Study Platform
January 1, 2025 – June 1, 2026
Architected a RAG-based eBook platform evolved across V1 and V2 covering scripture chat, sermon drafting, URL extraction, and multilingual semantic search. [eBook Platforms] Engineered a Multimodal Content Engine with AI-generated images, audio, and video to deliver immersive, media-rich scripture learning experiences. Built an Interactive Timeline & Lineage Explorer for chronological and thematic Bible navigation with visual genealogy mapping. Designed a JSON-Driven Day-Wise Execution Engine orchestrating daily study workflows reflection, video, audio, quizzes, and reports as a fully autonomous LLM-powered reading companion.
Enterprise AI Chatbot Platform (RAG-Based)
January 1, 2025 – June 1, 2026
- Re-architecting the company-wide chatbot using Retrieval-Augmented Generation (RAG) for accurate, context-aware responses. [Multi-Source Data Integration] - Implemented document ingestion, semantic chunking, embedding pipelines, and query-time retrieval optimization. - Actively developing and integrating new features based on evolving business and user requirements. - Focused on improving response reliability, scalability, and enterprise usability.
View ProjectProgramming: Python, HTML, CSS
Unknown
June 1, 2026 – Present
Data Visualization: Business Intelligence using Power BI
Unknown
June 1, 2026 – Present
Data Analysis: Deloitte's Data Analysis Job Simulation
Deloitte
June 1, 2026 – Present
Framework: Web Development using Django
Unknown
June 1, 2026 – Present
Databases: MySQL
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from enterprise applications to personal projects like 'Bible Companion AI', demonstrates a broad interest and adaptability. The experience as a Technical Speaker and Workshop Facilitator indicates a proactive approach to knowledge sharing and community engagement, which aligns well with a collaborative culture. The target role of AI Engineer is well-aligned with the candidate's project experience and stated skills in LLM, NLP, and Computer Vision.
Soft Skills & Operational Fit
The candidate's resume highlights experience in delivering technical presentations and workshops, suggesting strong communication and leadership potential. The diverse project portfolio indicates an ability to work on varied tasks and adapt to different problem domains. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.