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AI Engineer with 1+ years in Python, Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer skilled in building intelligent and predictive systems using Python, Machine Learning, and Generative AI technologies. Experienced in developing AI-powered applications, NLP workflows, and data-driven automation solutions using LangChain, FastAPI, and Streamlit. Strong understanding of predictive modeling, deep learning fundamentals, and real-time AI systems with a passion for building scalable AI solutions for smart infrastructure and autonomous operations.
Hindusthan Institute of Technology, Coimbatore
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
SRM Muthamizhl Hr. Sec. School, Salem
HSC
June 1, 2021 – May 31, 2021
SRM Muthamizhl Hr. Sec. School, Salem
SSC
June 1, 2019 – May 31, 2019
PySpiders
Data Science Intern – PySpiders (Data Science Program)
November 1, 2024 – November 1, 2025
India
Resume-Driven AI Interview Coach
June 1, 2025 – June 1, 2026
Developed an AI-powered mock interview system that analyzes candidate resumes. Implemented NLP techniques to extract candidate skills, projects, and experience from resumes. Integrated LangChain with Groq LLM to dynamically generate interview questions and evaluate responses. Built an interactive Streamlit interface to simulate real-time interview sessions and provide performance feedback.
View ProjectAI-Driven Ultrasound Deterrence for Wildlife in Agriculture
June 1, 2025 – June 1, 2026
Developed an AI-based system to detect wildlife intrusion in agricultural fields. Implemented machine learning models to classify wildlife species using image-based detection. Designed an automated ultrasound deterrence mechanism to prevent crop damage. Reduced manual monitoring efforts and improved crop protection efficiency.
Smart India Hackathon 2024 (Selected participant)
Smart India Hackathon
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in AI & Data Science, coupled with personal projects focused on AI applications (interview coach, wildlife deterrence), aligns well with an AI Engineer role. The internship at PySpiders further demonstrates a commitment to gaining practical skills in data science. The participation in a hackathon suggests an innovative and collaborative mindset. The diversity of projects, though personal, shows initiative and a broad interest in applying AI to different domains, which is a positive indicator for cultural fit in a dynamic AI team.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on end-to-end AI solutions, from data processing to UI development. Participation in a hackathon implies teamwork and problem-solving under pressure. The internship experience indicates a structured learning approach and practical application of data science fundamentals. However, without specific assessment data on communication, logical reasoning, or stress handling, a comprehensive evaluation of soft skills and operational fit is limited.