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Generative AI Engineer with less than a year in LangChain & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence and Machine Learning undergraduate with hands-on experience building Generative AI applications using Python, LangChain, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and FAISS Vector Database. Experienced in developing AI-powered applications, integrating REST APIs, and building end-to-end solutions using Flask and Streamlit. Proficient in prompt engineering, machine learning, and data-driven application development, with a strong foundation in software engineering principles, problem-solving, and object-oriented programming. Passionate about designing scalable AI solutions, learning emerging technologies, and contributing to innovative Generative AI products in collaborative development environments.
BMS Institute of Technology and Management
B.E. · Artificial Intelligence and Machine Learning
August 1, 2023 – June 30, 2027
Narayana PU College
Pre-University Course (PUC)
June 1, 2021 – May 31, 2023
eStatus
Business Development Intern
October 1, 2025 – January 1, 2026
India
Internshala
Student Partner
October 1, 2025 – December 1, 2025
India
AI Resume Screening & Interview Intelligence System
June 25, 2026 – Present
Developed an AI-powered resume screening system using Python, LangChain, and Google Gemini API. Indexed over 200 resume chunks using FAISS to enable Retrieval-Augmented Generation (RAG). Automated ATS scoring and generated 15+ interview questions per resume using prompt engineering. Built a Streamlit web application that reduced resume evaluation time from several minutes to under 30 seconds.
Phishing URL Detection System
June 25, 2026 – Present
Processed and analyzed over 520,000 URLs for phishing detection. Engineered 30+ URL-based features and trained a Random Forest classifier. Achieved 92% prediction accuracy with high precision and recall on the test dataset. Implemented a Flask web application capable of providing real-time phishing predictions.
AI-Based Women Safety Monitoring System
June 25, 2026 – Present
Trained a distress voice classification model using over 1,200 audio samples with MFCC feature extraction. Created a Flask application with automated SOS email alerts and SQLite-based incident logging. Reduced emergency response time by instantly notifying predefined contacts after distress detection.
PWC Certification in GenAI Prompt Engineering and AI Agents
PWC
June 1, 2026 – Present
NPTEL - Large Language Models, Business Fundamentals for Entrepreneurs
NPTEL
June 1, 2026 – Present
PWC Certifications in Modern Data Systems, Fundamentals of Python, and Cyber, Data & Tech Risk
PWC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in AI/ML and Generative AI, aligning well with a Generative AI Engineer role. The diversity of projects (resume screening, phishing detection, safety monitoring) indicates a broad application interest. However, the candidate is still an undergraduate with limited professional experience, which might impact immediate cultural integration into a senior engineering team without mentorship.
Soft Skills & Operational Fit
The candidate demonstrates initiative through hackathon participation and certifications. Project descriptions suggest problem-solving abilities and an understanding of application development. However, the lack of professional work experience in a technical role means operational fit and collaboration skills are largely unproven.