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C Machine Learning Engineer AI Models Training with 2+ years in AI Models Training & NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Machine Learning Engineer with 2.0 years of experience, specializing in AI-powered conversational systems, NLP, and data science. Proficient in developing and deploying large language models (LLMs), quote recommendation engines, and resume analysis platforms. Strong background in Python, machine learning, deep learning, and vector databases, committed to driving innovation in AI and data-driven solutions.
St Francis College for Women
Master of Sciences (Msc) · Data Science
August 1, 2023 – June 30, 2025
Bharatiya Vidhya Bhavans Vivekanandha
Bachelors of Sciences (Bsc) · Data Science
August 1, 2020 – June 30, 2023
Solulab
Machine Learning Engineer
May 1, 2025 – Present
India
Solulab
Machine Learning Trainee
June 1, 2024 – April 1, 2025
India
Image Classification – Pneumonia Detection
June 1, 2026 – Present
Built CNN models using TensorFlow/Keras on Pneumonia MNIST dataset. Compared SGD and Adam optimizers and evaluated model performance.
Sentiment Analysis on IMDB Reviews
June 1, 2026 – Present
Performed text preprocessing and feature engineering using TF-IDF and Word2Vec. Trained ML models like Decision Tree, Random Forest, and Boosting algorithms.
Mastering Machine Learning with Python
unp.education
June 1, 2026 – Present
Advanced Data Science
unp.education
June 1, 2026 – Present
Award for appreciation of Project Presentation at CHARLESS BABBAGE DAY
College
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Solulab, progressing from Trainee to Engineer, shows commitment and growth within a single organization. The projects undertaken, such as conversational AI, recommendation engines, and resume analysis, demonstrate a breadth of application within the AI/ML domain. This diversity, coupled with academic projects, suggests adaptability and a willingness to tackle various challenges, aligning well with an innovative culture. The target role 'C Machine Learning Engineer AI Models Training' aligns well with the candidate's demonstrated experience in building and deploying ML models.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on practical application of ML/NLP, suggesting a results-oriented approach. The project descriptions highlight problem-solving and system development, which are crucial for operational fit. However, without specific psychometric or English test results, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly.