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AI Intern with less than a year in LLM integration & REST API development.
Motivated AI-Native Software Engineer with hands-on experience in Python, REST API development, and AI application building. Currently working as an AI Intern at Terrasoft, developing LLM-integrated applications, agentic workflows, and backend APIs using Flask and FastAPI. Learning and Experiencing with RAG pipeline concepts, prompt engineering, and NLP fundamentals. Eager to design and deploy AI-first software systems that leverage large language models, embeddings, and production-ready AI workflows.
Anna University
B.E · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
St. James Matric Higher Secondary School
XII Standard
N/A – Present
Terrasoft
AI Intern
February 1, 2026 – Present
Hyderābād, Telangana, India
Kaavian Systems
Analyst Intern
September 1, 2025 – January 31, 2026
Virudhunagar, Tamil Nadu, India
E-commerce Return Analysis Project
June 29, 2026 – Present
• Conducted root cause analysis on product return datasets using SQL for data extraction and aggregation across product categories. • Built dashboards on SAP Analytics Cloud to visualize KPIs including return rate trends, refund impact, and high-return product segments. • Derived actionable insights to reduce return rates by identifying key contributing factors at the product category level.
AI-Integrated RAG Pipeline
June 29, 2026 – Present
• Designed an end-to-end RAG pipeline: document ingestion, text chunking, embedding generation, vector storage (FAISS), and LLM-based response synthesis. • Implemented prompt templates to improve LLM response reliability for domain-specific queries. • Integrated FastAPI as the backend serving layer, exposing the RAG pipeline as a REST endpoint for external consumption.
Cultural Fit Analysis
The candidate's experience includes both AI-focused development and data analysis/BI, indicating a versatile skill set. The personal projects align well with the target role, demonstrating initiative and a passion for Generative AI. The current internship further solidifies this alignment. The breadth of skills, from core Python development to specific AI/LLM concepts and backend integration, suggests a good fit for a dynamic technical environment. However, the limited professional experience (internships only) means exposure to diverse team dynamics and corporate cultures is still developing.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data analysis to API integration. The internship at Terrasoft suggests a proactive learning attitude and engagement with cutting-edge AI concepts. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication in a team setting cannot be definitively evaluated.