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AI Engineer with less than a year in Generative AI & LLM fine-tuning
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AI/ML Engineer with experience in Generative AI, Large Language Model (LLM) fine-tuning, and enterprise Customer Data Platform (CDP) development. Experienced in developing multilingual AI solutions using Gemma and Qwen models, leveraging Hugging Face Transformers, LoRA, and QLoRA techniques for efficient model adaptation. Skilled in Python, FastAPI, Kafka, Redis, PostgreSQL, WebSockets, Customer 360, Identity Resolution, and Customer Segmentation.
Mahendra Institute of Technology, Namakkal
B.E. Computer Science and Engineering · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Worktual Innovations Pvt. Ltd.
AI/ML Engineer
November 1, 2025 – Present
Chennai, Tamil Nadu, India
Cognitive Customer Data Platform (CDP)
January 1, 2025 – Present
Designed and developed core components of a Cognitive Customer Data Platform that unified customer information from multiple enterprise systems into a centralized Customer 360 view. Implemented canonical data mapping, identity resolution, customer profile generation, and segmentation capabilities. Leveraged Kafka, Redis, FastAPI, and PostgreSQL to enable scalable event processing and real-time profile updates.
Multilingual LLM Fine-Tuning and Optimization
January 1, 2025 – Present
Fine-tuned Gemma 4 26B and Qwen models to deliver multilingual conversational AI experiences across six languages. Developed multilingual training datasets, performed data preprocessing, executed instruction and non-instruction tuning workflows, and applied LoRA and QLoRA techniques to optimize training efficiency.
Diabetes Risk Prediction Using Machine Learning Techniques
January 1, 2025 – Present
Developed a machine learning-based prediction system using Python and Scikit-learn to assess diabetes risk. Implemented data preprocessing, feature engineering, and model evaluation techniques while leveraging SVM, Logistic Regression, and Decision Trees.
Python
HackerRank
June 1, 2026 – Present
SQL (Intermediate)
HackerRank
June 1, 2026 – Present
Software Engineering
Coursera
June 1, 2026 – Present
Aptitude
L&T EduTech Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong alignment with an AI Engineer role, particularly in Generative AI and LLM applications. The experience with multilingual models and enterprise-grade CDP solutions indicates a breadth of skills relevant to diverse technical environments. The academic project on diabetes risk prediction shows a foundational interest in machine learning, complementing the professional experience. The certifications in Python and SQL further support a well-rounded technical profile. The candidate's current role as an AI/ML Engineer directly matches the target role, suggesting a good cultural and technical fit.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in LLM fine-tuning initiatives and contributions to CDP design, suggesting strong initiative and problem-solving skills. The focus on improving response quality and reducing hallucinations indicates an attention to detail and a results-oriented approach. The project diversity implies adaptability and a willingness to tackle complex challenges. However, without direct assessment data on communication or teamwork, these aspects are inferred from project descriptions.