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AI Engineer with less than a year in GenAI & LLM-powered applications
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Assessing your cultural and operational fit
Aspiring AI engineer and B.Ε. Computer Science graduate with hands-on experience in Python programming, GenAI, LLM-powered applications, and RAG pipelines. Passionate about AI-driven automation, prompt engineering, and building real-world intelligent workflows. Strong mindset to deliver impactful production-ready AI solutions.
St. Joseph's College of Engineering
B.E. Computer Science & Engineering · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Dr. Reddy's Foundation
AI/ML Intern
May 1, 2026 – Present
Chennai, Tamil Nadu, India
Indium Software
Data Analyst Intern
June 1, 2024 – July 1, 2024
Chennai, Tamil Nadu, India
LLM-Based Production RAG System
January 1, 2026 – June 1, 2026
• Built an end-to-end Retrieval-Augmented Generation (RAG) system with prompt-engineered pipelines, semantic embeddings via Ollama, and vector storage in Qdrant for context-aware Q&A. • Designed a Streamlit web app integrating Generative AI workflows for scalable, production-ready document query-ing demonstrating applied AI automation from ingestion to generation.
View ProjectCustomer Churn Prediction
January 1, 2025 – December 31, 2025
• Built and evaluated ML classification models (Logistic Regression, Random Forest, XGBoost) on the Telecom Churn dataset, achieving approximately 85% accuracy with Python-based automation. • Applied feature importance analysis to identify top churn drivers, enabling data-driven retention strategies through systematic problem-solving and analytical thinking.
Goethe-Zertifikat A1: Start Deutsch 1
Goethe-Institut
June 1, 2026 – Present
AI/ML
CFRSI Institute
June 1, 2026 – Present
Microsoft Azure Data Fundamentals (DP-900)
Microsoft
June 1, 2026 – Present
Proactive Customer Retention: A Novel Machine Learning Approach for Churn Prediction and Strategic Engagement.
8th International Conference on Intelligent Computing
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including an LLM-based RAG system and customer churn prediction, shows a broad interest in AI/ML applications. The current AI/ML Intern role aligns directly with the target AI Engineer role, indicating a clear career path. Participation in hackathons and delivering seminars on emerging technologies reflects a proactive and collaborative learning culture. The breadth of skills across programming, AI/ML, cloud platforms, and developer tools suggests adaptability and a willingness to engage with various technical challenges. However, the experience level is still early career, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and a continuous learning mindset through project work and co-curricular activities. Experience as a Hackathon Team Leader and Sports Coordinator suggests leadership and teamwork abilities. The description of automating ETL workflows and building executive dashboards indicates an operational focus on efficiency and data-driven decision-making. However, direct evidence of stress handling and team collaboration from the provided data is limited to self-reported soft skills and activity descriptions.