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AI Engineer with 1+ years in Data Science, Machine Learning, and Generative AI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Physics graduate with expertise in Data Science, Machine Learning, Deep Learning, and Generative AI. Skilled in Python, SQL, MySQL, Power BI, NLP, LLMS, Transformers, RAG, and Multimodal AI. Hands-on experience building AI/ML pipelines, neural networks, and data-driven solutions. Seeking AI Engineer / AI Developer / ML Engineer roles to deliver intelligent and scalable AI solutions.
St. Xavier's College, Vaikom
Bachelor of Science · Physics
June 1, 2022 – March 1, 2025
Government Higher Secondary School, Vaikom
Higher Secondary Education · Science
June 1, 2020 – March 1, 2022
Zaalima Development Pvt. Ltd
Data Science and Machine Learning Intern Remote
January 1, 2026 – March 1, 2026
Bengaluru, Karnataka, India
Luminar Technolab
Data Science Intern
June 1, 2025 – February 1, 2026
Cochin, Kerala, India
AI-Powered Medical Document Analysis System
June 1, 2025 – February 1, 2026
Engineered an AI-powered Medical Document Analysis System using RAG architecture for contextual question answering from clinical PDFs. Implemented semantic search with FAISS and local LLM integration Ollama to generate accurate, context-aware medical insights. Built an end-to-end pipeline covering document parsing, embedding generation, retrieval, and LLM-based response generation via Streamlit UI. Enabled simplified explanations and risk-indicator extraction from structured medical summaries, improving document interpretability.
YouTube Video Performance Prediction
June 1, 2025 – February 1, 2026
Built a Machine Learning model to predict video performance based on engagement and audience behavior features. Implemented KNN and Random Forest models with feature engineering and performance comparison. Handled class imbalance using SMOTE to improve prediction reliability. Deployed the model using Streamlit for on-demand video success prediction.
Uber Data Analysis Dashboard
June 1, 2025 – February 1, 2026
Analyzed 150K+ Uber ride records to identify peak demand hours, revenue-driving vehicle categories, and customer payment preferences. Designed interactive Power BI dashboards using DAX measures, slicers, and KPIs for business-level decision support. Discovered Auto, Bike, and Go Mini as top revenue contributors with UPI as the dominant payment mode. Provided actionable insights on driver allocation and surge timing to improve operational efficiency.
AI-Based Driver Monitoring System
June 1, 2025 – February 1, 2026
Created a real-time driver safety system using computer vision and facial landmark detection. Detected drowsiness, yawning, and mobile phone usage through eye aspect ratio and hand landmark analysis. Implemented instant alert mechanisms to reduce accident risk and enhance driver awareness. Optimized frame-level processing for low-latency live performance.
Meta Ad Performance Analysis Dashboard
June 1, 2025 – February 1, 2026
Developed a 360-degree Power BI dashboard analyzing Facebook and Instagram ad campaigns across demographics and regions. Evaluated campaign effectiveness using CTR 11.76 percent, engagement rate 13.56 percent, impressions, and ROI metrics. Compared ad formats video, stories, feed to identify high-performing audience segments. Recommended budget reallocation and retargeting strategies to improve conversion efficiency.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse range of applications, from medical document analysis to driver monitoring and marketing analytics, indicating adaptability and a broad interest in applying AI across different domains. The experience with both individual project development and internship roles suggests an ability to integrate into various team structures. The listed soft skills align with a collaborative and problem-solving culture. However, the limited professional experience (internships only) means cultural fit is primarily inferred from project diversity and self-reported skills.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, team collaboration, and project management as soft skills. Project descriptions indicate an ability to work on complex problems and deliver end-to-end solutions, suggesting a good operational fit for roles requiring independent contribution and teamwork. However, without specific behavioral assessment data, the depth of these soft skills cannot be fully validated.