Pradheeban A
+91-638******* ***************@*****.*** linkedin.com/in/pradheeban github.com/PradheebanAnandhan EDUCATION
Sri Eshwar College Of Engineering Coimbatore, India B.E, CSE(AI and ML) Nov. 2022 – Nov 2026
Work EXPERIENCE
Engineering Trainee Jun 2025 – Jan 2026
Telesoft Technologies Onsite – Delhi NCR
• Contributed to development of cybersecurity and telecommunications software as part of an engineering team
• Assisted in implementation, testing, and system integration, improving system stability across modules
• Collaborated with cross-functional teams to troubleshoot issues and validate system requirements
• Supported technical documentation and deployment workflows PROJECTS
PrepWise – AI Interview Coach LLMs, NLP, Agentic AI, React.js Mar 2026
• Developed an AI-driven platform for resume optimization and interview preparation using LLM-powered evaluation
• Designed a multi-agent system using LLMs + NLP for personalized feedback and coaching
• Implemented voice-based interview simulations to mimic real-world interview scenarios
• Enhanced candidate readiness and confidence through adaptive evaluation ASTRA – AI Powered Interactive Guidance System LLMs, RAG, Generative AI Aug 2025
• Built a voice-based conversational AI system for real-time navigation using LLM-driven interaction
• Implemented LLM + RAG pipeline for context-aware, accurate responses
• Designed natural language interaction with visual response support to enhance user experience
• Improved response relevance and usability in dynamic query scenarios Anomaly Detection System Deep Learning, Python, CNN, LSTM, Streamlit Jun 2024
• Built a CNN + LSTM-based model to detect suspicious activities in surveillance videos
• Trained on UCF dataset to identify events like shoplifting and assault
• Combined spatial and temporal features to improve detection accuracy and robustness
• Developed a Streamlit-based interface for real-time monitoring and visualization PUBLICATIONS
Multi-Agent Personalized Interview Coach: An AI-Powered Platform for Career Readiness Oct 2025 IRJAEH, 2025 DOI: 10.47392/IRJAEH.2025.0575
Marching Forward: Redefining Human–Machine Interactions in Conversational AI Feb 2025 IEEE ICCES, 2024 DOI: 10.1109/ICCES63552.2024.10859659 ACHIEVEMENTS
Selected among Top 30 out of 250+ applicants, Official Content Creator – KGeN.io Japanese Language Proficiency Test – N5
1st Place – Ideathon, Karpagam College
2nd Place – Hackathon, Sengutar College of Engineering 2nd Place – Project Expo, Karpagam College
TECHNICAL SKILLS
Programming Languages: C, C++, Python, Java
Generative AI: LLMs, RAG, LangChain, Embeddings, Agentic AI Systems, Prompt Engineering Machine Learning: Deep Learning, Natural Language Processing (NLP), Transformers Web & Backend: React.js, Node.js, Express.js, REST APIs, HTML, CSS Databases: SQL, MongoDB
Core CS: Data Structures & Algorithms (DSA), Operating Systems (OS), DBMS Tools & Platforms: Git, GitHub, Hugging Face, VS Code, Colab, Canva