CSE • Ex-AI Analyst Intern @ DeepCytes • AI/ML & GenAI Enthusiast • Automation • Full-Stack Developer • 1x Hackathon Winner
Computer Engineering student with experience in AI, machine learning, cybersecurity analysis, and full-stack application development.
Rotaract Club of Thadomal Shahani Engineering College
1 yr 1 mo · Mumbai, Maharashtra, India
Rotaract Club of Thadomal Shahani Engineering College
6 mos
DeepCytes Cyber Labs (UK)
4 mos
I worked as an AI Analyst at DeepCytes, where I focused on researching SMS and call-bombing behavior. I studied how these attacks work, analyzed patterns, and helped contribute insights to improve detection approaches.
DeepCytes
09 2025 – 12 2025 · Remote
Researched SMS and call-bombing attack vectors, analyzed behavioral patterns and traffic signatures, developed a pattern-based detection framework for anomalous communication bursts, documented attack taxonomies, and used Python-based data analysis to process and visualize attack logs for detection pipelines.
Bachelor of Engineering (B.E.), Computer Engineering
2023 - 2027
Third year; CGPA: 8.8
Full-stack AI platform using NLP, media analysis, and autonomous AI agents to detect and verify misinformation across the web and social media. Includes multi-agent workflows for source scraping, cross-verification, claim validation, and a Chrome extension for instant fact-checking on Instagram and X.
Built an end-to-end multi-document RAG system with document ingestion, preprocessing, chunking, vector embedding, semantic search, Redis caching, and FAISS dense vector retrieval. Reduced repeated API calls and improved average query latency by 40–60 percent.
Developed a LangGraph-based AI agent to interpret CSV schemas and autonomously perform data validation, normalization, and handling of missing or inconsistent values, generating standardized outputs for analytics and machine learning workflows.