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ML Engineer with 2+ years in LLM-based NLP solutions & React.js development
Machine Learning Engineer with 1+ year of hands-on experience developing and deploying LLM-based NLP solutions for healthcare AI applications. Specialized in fine-tuning transformer models (BERT, Llama 3.1), building embedding-based retrieval systems with vector databases, and creating production-ready APIs. Experienced in React.js front-end development, prompt engineering, custom NER model training, and end-to-end ML pipeline development.
SCT College of Engineering
Bachelor of Technology (B.Tech) · Computer Science
August 1, 2020 – June 1, 2024
Christ Nagar Higher Secondary School
I.S.C (Class XII)
N/A – May 31, 2020
Christ Nagar Higher Secondary School
I.C.S.E (Class X)
N/A – May 31, 2018
TigmaMinds
Machine Learning Engineer
July 1, 2024 – Present
India
Explainability of BERT in Fake News Detection
January 1, 2023 – June 1, 2024
Implemented LIME for explainable AI with BERT-based classification; comparative analysis of NLP interpretation methods.
Guidance System for Visually Impaired
January 1, 2023 – June 1, 2024
Flutter app with TensorFlow object detection, voice interface, and Google Location API for real-time navigation.
Movie Recommendation System
January 1, 2023 – June 1, 2024
Content-based engine using TF-IDF vectorization and similarity scoring on TMDB dataset.
Programming, Data Structures & Algorithms using Python
NPTEL Swayam
June 1, 2026 – Present
Web Development using React JS
Keltron
June 1, 2026 – Present
Machine Learning with Python
AcmeGrade
June 1, 2026 – Present
Let's C Workshop
GeeksforGeeks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show diversity in application areas (explainable AI, mobile guidance systems, recommendation systems), indicating a broad interest in ML applications. Their current role as an ML Engineer aligns perfectly with the target role, demonstrating a clear career path and relevant experience. The blend of academic and professional projects, along with certifications, suggests a proactive learning attitude. The experience with both front-end (React.js) and backend/MLOps indicates a versatile profile that could adapt well to cross-functional teams.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on practical application and end-to-end project ownership, from UI development to ML model deployment. The detailed descriptions of their work at TigmaMinds suggest good problem-solving skills and an ability to integrate complex systems. However, without direct assessment data on communication or teamwork, these aspects are inferred from the clarity of their project descriptions.