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AI Engineer with less than a year in Machine Learning & Generative AI
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Assessing your cultural and operational fit
Results-driven AI/ML Engineer & Data Scientist with hands-on experience in building end-to-end machine learning pipelines, NLP systems, and data-driven solutions. Strong expertise in Python, SQL, deep learning, computer vision, and generative AI (LLMS, RAG). Proven ability to develop ETL pipelines, predictive models, and interactive dashboards, improving data quality and business insights. Experienced in deploying scalable AI solutions using FastAPI, Streamlit, and cloud platforms (AWS, Azure, GCP). Seeking opportunities as AI Engineer / Data Scientist / Data Analyst / ML Engineer / GenAI Developer in MNCs and high-growth companies in India.
IHRD
Post Graduate Diploma · Computer Applications
August 1, 2015 – June 30, 2015
MG University
Bachelor · Electronics & Communication Engineering
August 1, 2014 – June 30, 2014
Luminar Technolab
Data Science Intern
December 1, 2024 – July 1, 2025
Cochin, Kerala, India
Travancore Devaswom Board
Temple Priest
February 1, 2015 – May 1, 2024
India
Cybersecurity Breach Analysis Dashboard
June 1, 2026 – Present
• Processed and analysed 500+ incident records using ETL workflows. • Developed Power BI dashboard with DAX validation, improving reporting efficiency by 40%. • Implemented data validation checks to ensure data accuracy and reliability.
Text Response Classifier (NLP Project)
June 1, 2026 – Present
• Built NLP pipeline using TF-IDF + Decision Tree model, achieving 88% accuracy. • Developed and deployed application using Streamlit, enabling real-time text classification. • Automated detection of sensitive content, improving moderation efficiency.
Emotion-Aware Voice Chatbot (GenAI / NLP / LLMS)
June 1, 2026 – Present
• Built a multimodal chatbot using Whisper, LangChain, and LLAMA3 for speech-to-text and contextual responses. • Integrated RAG architecture, improving response relevance by 18%. • Implemented sentiment detection for emotion-aware interactions. • Developed scalable AI pipeline integrating speech, NLP, and LLMs.
Data Science (Python)
NACTET
June 1, 2026 – Present
Microsoft Azure Solutions Architect Expert (AZ-305)
Microsoft
June 1, 2026 – Present
Generative AI
Microsoft & LinkedIn
June 1, 2026 – Present
Power BI Data Modeling with DAX
Unknown
June 1, 2026 – Present
Google BigQuery ETL Pipeline
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a significant career transition from a non-technical role to an AI/ML focus, indicating adaptability and strong motivation. The project diversity, ranging from GenAI chatbots to NLP classifiers and data dashboards, shows a broad interest within the AI/Data Science domain. While the recent experience is an internship, the certifications and self-driven projects align well with the target role of an AI Engineer, suggesting a proactive approach to skill acquisition and career alignment.
Soft Skills & Operational Fit
The candidate's previous non-technical role as a Temple Priest highlights strong discipline, attention to detail, process consistency, and communication skills, which are valuable for data-driven roles requiring precision and collaboration. The resume also explicitly lists strong analytical and problem-solving skills, quick learning ability, and a passion for AI.