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Logsense
January 13, 2026 – Present
A context-aware log analysis system for identifying anomalies and performing root cause diagnosis from system logs.
View ProjectPredictive-Maintenance-for-IoT-GCP-Deployed-Real-Time-Optimized
November 30, 2025 – November 30, 2025
About A fully integrated, cloud-deployable Predictive Maintenance system leveraging advanced machine learning, real-time data pipelines, and serverless architecture. The system is optimized for scalability, speed, and accuracy with GCP-native services.
View ProjectDeepAffinity-Multimodal
November 22, 2025 – December 7, 2025
A Multimodal Cross-Attention Network combining Residual GNNs and ESM-2 Transformers for robust Drug-Target Affinity (DTA) prediction. Optimized via Bayesian Search to achieve SOTA-tier generalization (Spearman: 0.788) on unseen drug scaffolds.
View Projectreal-time-banking-de
October 20, 2025 – November 12, 2025
Real-Time Banking Data Engineering Platform - A production-ready data lakehouse implementation demonstrating CDC-based streaming ingestion, batch processing, and automated transformations for banking transaction data. Built with Kafka, Debezium, Airflow, dbt, and Snowflake.
View Projectazure-databricks-medallion-pipeline
June 20, 2025 – June 21, 2025
End-to-end Azure Databricks pipeline using medallion architecture, PySpark, and Delta Live Tables.
View ProjectPassword_Manager
October 17, 2020 – March 30, 2021
Password Manager in Python using pyaes and hashlib
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal technical projects, demonstrating strong initiative and a passion for building. However, the lack of team-based or collaborative projects, and the absence of professional experience, makes it difficult to assess cultural fit in a team or organizational setting. The projects align well with a data scientist role, particularly in areas of machine learning, data engineering, and cloud platforms.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on complex technical challenges and system building, which suggests a problem-solving orientation.