Generative AI Engineer with less than a year in LangChain & Machine Learning.
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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.