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AI Engineer with less than a year in LLMs & NLP for real-world application development.
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Assessing your cultural and operational fit
Completed a 3-month internship as a Software Development Engineer (AI Engineer) at SDX Partners, gaining hands-on experience in real-world AI application development. Worked with Large Language Models (LLMs) and Natural Language Processing (NLP), and deployed and managed applications on Hostinger VPS, ensuring scalability, performance optimization, and reliable production execution.
Sri Shakthi Institute of Engineering and Technology
B.tech Artificial Intelligence and machine learning · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Jaycees matric higher secondary school
HSC
June 1, 2021 – May 31, 2022
Jaycees matric higher secondary school
SSLC
June 1, 2019 – May 31, 2020
SDX Partners
AI Engineer
January 1, 2026 – April 1, 2026
Bengaluru, Karnataka, India
AI Interview System
June 1, 2026 – Present
Built a real-time AI interview platform using FastAPI, React, and PostgreSQL, integrating Whisper (STT), Coqui XTTS (TTS), and Llama LLMs for voice-based interaction and automated feedback. Implemented WebSockets for real-time communication and developed an AI evaluation system to score.
Personalized RAG-Powered Document QA Chatbot
June 1, 2026 – Present
Developed an offline RAG-based AI chatbot that answers questions from PDFs and images using semantic retrieval and local LLMs. Used pdfplumber and Tesseract OCR for multi-modal ingestion, stored embeddings in ChromaDB for efficient search, and integrated Flan-T5 for context-aware responses with zero API usage and secure on-device inference.
Real-Time Sentiment Analysis Web App
June 1, 2026 – Present
This project is a real-time sentiment analysis web app that classifies movie reviews as positive or negative. It uses TF-IDF for feature extraction and a Logistic Regression model for prediction. The model is deployed with FastAPI, and a Streamlit interface allows users to input reviews and get instant results, showcasing an end-to-end ML pipeline.
Intermediate Python Programming
Unstop
June 1, 2026 – Present
Large Language Model
Unstop
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from real-time interview systems to offline RAG chatbots and sentiment analysis, demonstrates a broad interest in AI applications. The choice of personal projects aligns well with an AI Engineer role, indicating genuine passion and initiative. The internship at SDX Partners further reinforces this alignment. The breadth of skills across different AI domains and deployment strategies suggests adaptability and a willingness to explore various technical challenges, which are positive traits for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying AI technologies. The focus on building complete systems, from backend to frontend, suggests good problem-solving skills and an ability to work independently. The internship experience, though short, provides exposure to real-world application development and deployment, which is a positive indicator for operational fit. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is challenging.