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AI Engineer with 1+ years in AI/ML & Data Analytics, skilled in LLMs, Python, SQL, and AWS.
Results-driven Junior AI Engineer and Data Scientist with 1.5+ years of hands-on experience building AI-powered data pipelines, machine learning models, LLM-integrated applications, and interactive BI dashboards. Proficient in Python, SQL, Scikit-learn, TensorFlow, and prompt engineering – with direct exposure to ETL pipeline design, AI agent workflows, REST API integrations, and AWS cloud services. Processed 12,000+ datasets for production AI model training and automated QA workflows saving 20+ hours/month. Passionate about applying cutting-edge AI to real-world business problems in hospitality, operations, and guest experience. Actively seeking to relocate to Dubai/UAE.
Bengaluru North University
Bachelor of Computer Applications (BCA)
N/A – June 30, 2024
MEA Platform
Junior AI Engineer / Data Analyst
February 1, 2025 – Present
Bengaluru, Karnataka, India
YBI Foundation
Data Science & ML Intern
June 1, 2024 – July 1, 2024
India
PromptStream QA Dashboard AI Prompt Dataset Monitoring
June 1, 2026 – Present
Production-grade AI pipeline monitoring: End-to-end Power BI dashboard visualizing annotation quality KPIs across 12,000+ AI training datasets in real time. Automated weekly ETL pipeline using Python + Excel (eliminating 5+ hours/week of manual reporting); tracked error patterns and coverage metrics to reduce dataset rework time.
Pizza Sales Power BI Report - Operations KPI Dashboard
June 1, 2026 – Present
2-page interactive Power BI report: $817.86K revenue, 21,350 orders, 49,574 units sold. Full pipeline: SQL → Power Query → DAX measures → interactive slicers, mirroring hospitality operations dashboards.
HospitalityBot - LLM-Powered Conversational AI Assistant
June 1, 2026 – Present
Built an AI-powered conversational assistant using OpenAI's LLM API and Flask to handle guest FAQs, reservation queries, and upsell recommendations – directly mirroring FIVE Hotels' conversational AI use case. Integrated REST APIs for dynamic data retrieval; implemented prompt templates and context management for multi-turn dialogue. Deployed on AWS EC2 with S3-backed conversation logging.
Sales Forecasting & Revenue Optimization Model
June 1, 2026 – Present
Developed an ML forecasting model (regression + time-series) to predict sales trends and optimize revenue directly applicable to hospitality revenue management. Achieved R² > 0.88. Automated data ingestion from multiple structured sources; stored processed datasets on AWS S3 for reproducible model training pipelines.
EmotionSenseAI Real-Time Facial Emotion Detection
June 1, 2026 – Present
Built a CNN model for real-time facial emotion recognition across 7 classes, deployed on live webcam streams – applicable to guest experience personalization in smart hospitality environments.
PGC Data Science (Graduate Program)
PGC / Online
June 1, 2026 – Present
Crash Course in Python
Google / Coursera
June 1, 2026 – Present
AWS Cloud Practitioner Essentials
AWS Training (In Progress)
June 1, 2026 – Present
Introduction to Artificial Intelligence
Online Certification
June 1, 2026 – Present
Microsoft PL-300 Power BI
In Progress
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in applying AI to real-world business problems, particularly in the hospitality sector, which aligns with practical, impact-driven environments. Their experience in automating tasks and building monitoring dashboards indicates a proactive and results-oriented approach. The breadth of skills across ML, data engineering, and visualization suggests adaptability and a willingness to tackle diverse challenges. The stated desire to relocate to Dubai/UAE also indicates a proactive approach to career growth and potential cultural adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in stakeholder communication, cross-functional collaboration, and data storytelling, as evidenced by project descriptions and professional experience. Their work on automating reporting and QA processes indicates an operational mindset focused on efficiency and quality. The project diversity and focus on real-world business problems, especially in hospitality, suggest a good fit for roles requiring practical application of AI and data science.