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Generative AI Engineer with less than a year in Generative AI & 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
Aspiring AIML Engineer with a strong foundation in Python and Machine Learning. Hands-on experience in data preprocessing, model building, and basic deployment through academic and personal projects. A quick learner with good problem-solving skills, eager to contribute to organizational goals while continuously improving technical knowledge.
SRKR Engineering College
Bachelor of Technology · AIML
August 1, 2022 – June 30, 2026
Tirumala Mahila Junior Kalasala
Intermediate Education
June 1, 2020 – May 31, 2022
Prathibha Public School
Secondary Education
N/A – Present
Blackbucks
Chat GPT,Prompt Engineering & Generative AI Intern
May 1, 2025 – July 1, 2025
India
Phishing Website Detection
June 27, 2026 – Present
Developed a Chrome extension using machine learning to detect phishing websites and classify spam emails with high accuracy.
AI Interviewer (GenAI Recruitment Agent)
June 27, 2026 – Present
Developed an autonomous, GenAI-driven recruitment agent that automates candidate screening and interviewing. It leverages a CrewAI multi-agent system to dynamically scrape and summarize profile data from LinkedIn & GitHub. Engineered a question framing engine using LangChain and Mem0 memory context to generate personalized, context-aware interview questions. The solution features Faster Whisper for communication between agent and candidate providing a final report at the end.
IntelliQuery - AI-Powered Document Assistant (RAG System)
June 27, 2026 – Present
Built an end-to-end Retrieval-Augmented Generation (RAG) system enabling users to chat with PDF documents using semantic search and context-aware response generation. Implemented document chunking, embedding generation, FAISS-based vector similarity search, and integrated Transformer-based LLMs for accurate answer generation.
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest and hands-on experience in cutting-edge AI technologies, particularly Generative AI and RAG, which aligns well with a 'Generative AI Engineer' role. The diversity of projects (document assistant, recruitment agent, phishing detection) indicates a broad technical curiosity and ability to apply AI in different domains. The internship at Blackbucks further solidifies this alignment. The candidate appears to be a self-starter with a strong academic background in AIML, suggesting a good fit for an innovative and technically driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and problem-solving, essential for an evolving field like Generative AI. The internship experience, though short, shows an ability to contribute to practical AI solutions and optimize performance. The academic projects demonstrate initiative and the capacity to work on complex, multi-component systems. However, without direct behavioral assessment, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.