Artificial Intelligence Engineer at Cybersecurity NXXT (Paramount Computer Systems). Graduated in June 2026 with a B.Tech in CSE (AI) from Amrita Vishwa Vidyapeetham (CGPA: 8.95). I develop multi-agent AI systems, distributed data pipelines (PySpark, Airflow, Kafka), and scalable backend architectures.
I recently graduated in June 2026 with a B.Tech in Computer Science and Engineering (AI) from Amrita School of AI, Amrita Vishwa Vidyapeetham, Coimbatore with a CGPA of 8.95 / 10.
Currently, I work as an Artificial Intelligence Engineer at Cybersecurity NXXT (Paramount Computer Systems), where I develop AI solutions for cybersecurity defense and build production-grade backend APIs.
My experience covers Multi-Agent AI Systems (LangGraph, RAG), high-throughput Data Pipelines (Airflow, PySpark, Kafka, dbt), and modern Web Applications (FastAPI, Next.js, Electron, PostgreSQL, SQLite), along with peer-reviewed research accepted at NAACL 2025 and Springer.
Amrita School of AI, Amrita Vishwa Vidyapeetham, Coimbatore
CGPA: 8.95 / 10 (Graduated June 2026)Thamarai International School, Kumbakonam
Score: 88.2%Thamarai International School, Kumbakonam
Score: 89.6%Developing AI-powered solutions for cybersecurity applications, integrating intelligent features into production systems, and collaborating on backend development to enhance product capabilities.
Developed full-stack web applications using React.js and backend technologies, contributing to feature implementation, testing, deployment, and overall product development.
Worked on AI-based code, network, and application analysis, contributing to product development, system improvements, and codebase security analysis.
A 7-service microservices platform featuring a LangGraph multi-agent AI system for resume tailoring and an isolated MCP server. Built an end-to-end Airflow + PySpark + dbt data pipeline processing 200k+ jobs, training a Spark MLlib salary prediction model, and streaming live match alerts via Kafka.
Developed a sequential LangGraph agent pipeline generating tailored IBD meal plans with a fine-tuned MiniLM transformer for RAG medical guideline auditing. Integrated a Next.js Canvas knowledge graph backed by SQLite and ChromaDB.
Built a multi-user clinical portal in Streamlit featuring role-based dashboards for Admins, Doctors, and Patients. Designed relational SQLite schemas and optimized SQL queries to manage appointment scheduling, patient records, and doctor availability tracking.
Developed a multimodal deep learning framework integrating Vision Transformers and BERT for misogyny detection in Dravidian languages.
Fine-tuned BERT, ALBERT, and RoBERTa using few-shot learning for financial sentiment analysis.
1st place for AI Dietary Recommendation system using RAG knowledge graphs.
View CertificateLed AI club presentation on Gesture Control Robot at Anokha Tech Fest (2024).
Contributed to Tkids Playset supporting quality children's education (2025).
View CertificateThanjavur, Tamil Nadu, India