About
Full Stack Developer and AI/ML researcher with hands-on experience building web applications using Python, JavaScript, React, and MySQL. Has research experience in RAG-based hallucination detection using vector embeddings, Ollama, and LLMs, with a strong foundation in backend engineering and REST APIs.
Experience
-
Full Stack Python Developer InternTechnoworld SoftwareJan 2026 – Mar 2026
Developed and maintained full-stack web applications using HTML, CSS, JavaScript, React, and Python. Debugged critical application issues, executed unit testing, managed MySQL database structures, and collaborated with engineering teams in code reviews.
-
AI Research Intern – Under Faculty MentorPVGCOETJan 2026 – Mar 2026
Analyzed academic research papers on RAG systems, developed an AI evaluation model using Python, Ollama, vector embeddings, and LLMs, co-authored a research paper on RAG-based hallucination detection, and supported literature reviews under faculty mentorship.
Education
-
2027
B.E. in Information TechnologyPune Vidyarthi Griha’s College of Engineering (PVGCOET)Information Technology · Jun 2023 – Jul 2027
Skills
Tools / apps / platforms
Projects
-
Authentication, analytics, dashboards
Engineered an employee productivity and stress monitoring platform with automated analytics and visualizations for workforce tracking.
-
LLMs, NLP
Built an automated AI platform for resume parsing, job matching, and ATS compatibility evaluation with semantic matching and improvement suggestions.
-
AI Cyber Threat Detection & Incident ManagementMulti-agent AI frameworks, RAG, knowledge graphs
Ongoing project to analyze and detect security threats across emails, system logs, and network traffic, with AI-assisted incident reporting and real-time dashboards for SOC analysts.
🎯 Hobbies & interests
- Dancing
- playing chess
- drawing