AstraLog
Event-driven observability platform for capturing structured system events, tracing behavior over time, and accelerating debugging and performance analysis.
View ProjectI build scalable systems, backend services, and data pipelines that turn raw information into useful insights and practical products.
Selected work from my existing portfolio with a focus on analytics, machine learning, and system-oriented thinking.
Event-driven observability platform for capturing structured system events, tracing behavior over time, and accelerating debugging and performance analysis.
View ProjectComputational mathematics lab where calculus topics are explored as reusable experiments with symbolic analysis, numerical sampling, and visual interpretation.
View ProjectStudent-friendly CGPA dashboard for tracking academic progress, forecasting future semesters, and planning how to reach a target CGPA.
View ProjectI focus on building data-aware systems that are reliable, interpretable, and practical for real-world use.
Structuring datasets, cleaning noisy records, and preparing reliable data flows for downstream analysis and decision-making.
Using Python-based workflows to run exploratory analysis, probability-based reasoning, and reproducible technical experiments.
Designing clear service logic with a strong emphasis on scalability, maintainability, and predictable system behavior.
Turning complex outputs into understandable visuals and summaries that support technical and non-technical decisions.