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AI Engineer with 1+ years in Python, Generative AI & Full-stack Development
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Computer Science graduate with hands-on experience in Python backend development, REST API design, Machine Learning, Generative AI, and full-stack web application development. Experienced in building AI-powered applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, semantic search, and workflow automation. Interested in Software Development, AI Engineering, Cybersecurity, and Intelligent Enterprise Systems.
College of Engineering Karunagappally
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Light Land International School
Class XII
N/A – Present
Sree Buddha Central School
Class X
N/A – Present
Faith Infotech, Technopark
Python Development Trainee
June 1, 2025 – Present
India
ICFOSS, Thiruvananthapuram
ERP Intern
June 1, 2024 – July 31, 2024
India
AI-Powered Smart Service Desk
June 24, 2026 – Present
Developed an AI-driven service desk platform integrating Retrieval-Augmented Generation (RAG), semantic search, and intelligent ticket management workflows. Built a knowledge retrieval system using ChromaDB, Sentence Transformers (BAAI/bge-base-en-v1.5), document chunking, embeddings, and vector similarity search for context-aware support responses. Integrated Groq-hosted Large Language Models (LLMs) for AI-assisted support, ticket classification, sentiment analysis, priority prediction, and automated response generation. Implemented intelligent ticket routing using department classification, workload balancing, SLA prediction, expertise scoring, escalation handling, and automated agent assignment. Designed role-based modules for Customers, Agents, and Administrators with authentication, knowledge management, AI Copilot assistance, ticket lifecycle tracking, and support analytics. Developed RESTful APIs using Django REST Framework and responsive interfaces using React.js, enabling automated support operations and workflow optimization.
Healthcare CMS Dashboard
June 24, 2026 – Present
Developed the Doctor module, including consultation management, backend models, validations, and REST APIs. Integrated Admin, Receptionist, Doctor, Lab Technician, and Pharmacist modules into a unified healthcare management platform. Implemented appointment scheduling, consultation workflows, prescription management, laboratory requests, and billing functionalities. Built responsive role-based interfaces using React.js and Tailwind CSS with secure authentication and authorization mechanisms.
Network Intrusion Detection System (AI-IDS)
August 1, 2024 – February 1, 2025
Developed an AI-powered intrusion detection system to identify and classify malicious network activities for cybersecurity monitoring. Trained and evaluated Decision Tree and Random Forest models using the KDD dataset to detect potential security threats and attack patterns. Performed preprocessing, feature engineering, label encoding, and normalization on network traffic data. Assessed detection effectiveness using accuracy, precision, and recall metrics to improve threat identification capabilities. Deployed the solution using Streamlit to simulate real-time network threat analysis and monitoring.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI and full-stack development, which aligns well with an innovative, tech-driven culture. The diversity of projects (AI-powered service desk, network intrusion detection, healthcare CMS) shows adaptability and a willingness to explore different domains. The current trainee role in Generative AI further indicates a proactive approach to learning and staying current with emerging technologies. The candidate is still pursuing a B.Tech degree, which suggests a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-module systems and integrate various technologies. The ERP internship suggests exposure to structured development environments and enterprise workflows, which implies an understanding of operational processes. However, direct evidence of collaboration, problem-solving, or communication skills in a team setting is limited to project descriptions.