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AI Engineer with 1+ years in Machine Learning, Deep Learning & 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
AI Developer with hands-on experience in Machine Learning, Deep Learning, Generative AI, and Python development. Proficient in designing, developing, and deploying AI-powered applications using Python, Django, SQL, and REST APIs. Experienced in building predictive analytics, recommendation systems, and time-series forecasting models using ML and deep learning techniques. Passionate about leveraging Artificial Intelligence, Large Language Models (LLMs), and data-driven solutions to solve complex real-world problems.
Dhanalakshmi Srinivasan University
B.Tech · Computer Science (AI & DS)
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior College
Intermediate
June 1, 2019 – May 31, 2021
APR School, Ganapavaram
SSC
June 1, 2018 – May 31, 2019
AI Variant
Data Science Intern
June 1, 2025 – March 1, 2026
Bengaluru, Karnataka, India
OneStop.ai
Python Full Stack Intern
July 1, 2024 – December 1, 2024
India
Apple Stock Market Analysis & Forecasting
June 24, 2026 – Present
Developed Regression, ARIMA, and LSTM models for forecasting. Evaluated performance using RMSE and validation metrics. Improved forecasting consistency using time-series analysis.
Online Course Recommendation System
June 24, 2026 – Present
Designed cosine similarity-based recommendation engine. Developed Streamlit application for personalized recommendations. Optimized ranking logic for improved recommendation relevance.
AWS Cloud Certification
Infosys
June 1, 2026 – Present
Python Certification
OneStop.AI
June 1, 2026 – Present
Data Science Certification
AI Variant
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate an interest in diverse AI applications, from financial forecasting to recommendation systems. The blend of data science and full-stack development experience suggests adaptability and a willingness to work across different technical domains. The target role of 'AI Engineer' aligns well with the candidate's stated interests and project work in AI/ML. The academic background in Computer Science (AI & DS) further reinforces this alignment. However, the experience level is low (1), indicating a need for mentorship and structured team environments.
Soft Skills & Operational Fit
The candidate's resume highlights project-based learning and internship experiences, suggesting an ability to apply theoretical knowledge to practical problems. The description of improving backend performance and optimizing API response efficiency indicates a focus on operational efficiency. However, without direct assessment data on communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit beyond what is implied by project descriptions.