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AI Engineer with less than a year in Data Pipelines & Machine Learning
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An analytical and results-oriented Artificial Intelligence and Data Science specialist with demonstrated expertise in the end-to-end development of data pipelines and machine learning systems. Highly proficient in Python, Microsoft Fabric, and Power BI, with a distinguished record of achievement in competitive hackathons. Aims to leverage advanced technical capabilities to devise solutions for complex challenges within a forward-thinking organization.
University of Mumbai
Bachelor of Engineering (B.E.) · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Masters India
Python Engineer Intern
August 1, 2025 – November 1, 2025
India
Ai News Recommender
June 1, 2026 – Present
Orchestrated the development of a real-time data pipeline for the automated ingestion, transformation, and storage of live news data sourced from multiple APIs, utilizing Term Frequency-Inverse Document Frequency (TF-IDF) for feature extraction. Developed and deployed a hybrid recommendation engine, which incorporated incremental logistic regression (SGDClassifier) and time-decay weighting algorithms, to deliver personalized content through a Streamlit-based web interface. Engineered a durable storage architecture to manage both article content and user interaction data, thereby facilitating continuous model optimization and dynamic preference tracking.
Data Engineering Pipeline on Microsoft Fabric
June 1, 2026 – Present
Designed and implemented a fully automated and scalable data pipeline within the Microsoft Fabric ecosystem, leveraging Data Factory and Dataflows Gen2 for the declarative ingestion and transformation of disparate datasets, encompassing an initial volume exceeding 10,000 records, into a centralized OneLake lakehouse. Constructed optimized semantic models in Power BI, implementing star schema designs and advanced Data Analysis Expressions (DAX) measures via SQL Analytics Endpoints to support governed, high-performance business intelligence operations. Managed the integration of Data Activator to automate the dissemination of actionable intelligence, configuring rule-based triggers for real-time alerts delivered and embedded within business workflows via Microsoft Outlook.
Smart India Hackathon 2024 Runner-up
IIT Bhubaneswar
January 1, 2024 – Present
KnowCode Hackathon 2024 Final Round
KJ Somaiya College of Engineering, Sion
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's involvement in hackathons and diverse projects (AI News Recommender, Data Engineering Pipeline) suggests a proactive and innovative mindset. The academic focus on AI and Data Science, combined with practical project experience, indicates a strong alignment with a forward-thinking, data-driven culture. The internship experience, though brief, shows an ability to contribute to real-world business problems. The breadth of skills listed (Python, Java, C, JavaScript, various ML frameworks, data engineering tools) indicates adaptability and a willingness to learn, which are positive cultural indicators.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to orchestrate development, design and implement systems, and manage integrations, suggesting strong operational fit and project management aptitude. The hackathon achievements also point to teamwork and problem-solving under pressure. However, without specific psychometric or English test scores, a deeper assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration is limited.