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AI Engineer with less than a year in AI/ML & Python Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Driven and adaptable professional with hands-on experience in implementing innovative solutions. Seeking to leverage technical skills and industry knowledge to contribute effectively in a challenging data-centric role.
Dayananda Sagar University
Computer science engineering · AI/ML
August 1, 2022 – June 30, 2026
Sri Vijay Vidyalaya Matric Hr. Sec.
HSC · PCMB
June 1, 2021 – May 31, 2022
Parimalam matric school
SSLC
June 1, 2019 – May 31, 2020
Automios
AI/ML & Python Development Intern
March 1, 2026 – May 1, 2026
India
Nineleaps
AI/ML & Python Development Intern
August 1, 2025 – December 1, 2025
India
HR Leave Policy AI Assistant
June 1, 2026 – Present
• Designed and developed a Python-based AI assistant to help employees instantly access HR leave policies such as sick, vacation, and parental leave from multiple PDF documents. • Implemented PDF text extraction, data cleaning, and chunking to prepare policy documents for semantic search. • Built a Retrieval-Augmented Generation (RAG) pipeline using open-source LLMs and embedding models to generate accurate, context-aware responses. • Stored document embeddings in a vector database and performed similarity search to retrieve relevant policy information efficiently. • Developed RESTful APIs using FastAPI/Flask and integrated a chat-style interface for seamless user interaction. • Ensured response accuracy by restricting answers strictly to policy documents, preventing hallucinations.
AI-Assisted Intelligent Interview Platform (HireIQ)
June 1, 2026 – Present
• Designed and developed a Python-based AI platform to automate recruitment processes including resume screening, interview generation, and candidate evaluation. • Implemented resume parsing using PDF/DOC text extraction and built a semantic Resume-Job Description matching system using LLMs to generate match scores and skill analysis • Developed an AI-driven interview question generation system using prompt engineering to create diverse technical, behavioral, and situational questions • Built an interactive voice-based interview module using speech-to-text and text-to-speech to simulate real-time interview conversations • Integrated LLM-based evaluation pipelines to analyze candidate responses and generate structured insights such as scores, strengths, and improvement suggestions
NPTEL-CLOUD COMPUTING
Unknown
June 1, 2026 – Present
Linux for beginners
Infosys Springboard
June 1, 2026 – Present
Diploma in information technology (python)
CCSI Computer education
June 1, 2026 – Present
Certificate in 2D Animation and Web design
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships show a strong focus on AI/ML, which aligns well with an AI Engineer role. The diversity of projects (HR assistant, interview platform) indicates an ability to apply AI solutions to different problem domains. The candidate's involvement in workshops and certifications suggests a continuous learning mindset. However, the experience level is very junior (internships only), which might require more mentorship and integration into a senior team's workflow.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and internships, indicating a proactive approach to learning and application. The project descriptions are clear and highlight problem-solving skills. However, without specific psychometric or English test scores, a detailed assessment of logical reasoning, work attitude, stress handling, and team collaboration cannot be provided. The candidate's focus on AI/ML projects suggests a strong interest and alignment with data-centric roles.