I'm a developer focused on backend engineering, AI systems, and machine learning. I enjoy building practical software, exploring intelligent automation, and understanding the engineering and mathematics behind the tools I use..

• Backend: APIs, data processing, and maintainable software architecture.
• AI Engineering: Agentic workflows, multi-agent systems, and ML-powered applications.
• Machine Learning: Similarity analysis, relevance scoring, and neural networks from first principles.
• Open Source: Improving existing codebases through refactoring, type safety, and maintainability.

I believe in learning by building, understanding systems beyond the surface, and writing software that is reliable, readable, and useful.

Languages

AI & Machine Learning

Backend & Web

Tools & Engineering

A news-analysis research project involving data collection, dataset preparation, and machine learning components.

• Implemented news scraping for Dawn and integrated SQLite for data storage.
• Worked on duplicate handling, dataset cleaning, and Pandas-based CSV preparation.
• Implemented text preprocessing and text similarity analysis.
• Developed image similarity and relevance-scoring components.

Focus: Python, SQLite, Pandas, data processing, text similarity, image similarity, and relevance scoring.

Built agent-based solutions across hackathons, exploring AI-driven automation and coordinated workflows.

• Developed multi-agent systems using Fetch.ai and Google ADK 2.0.
• Explored applications in cybersecurity automation, DevOps workflows, and e-commerce recovery.
• Participated in hackathon projects associated with PI Innovate, CortexX, and AI Seekho.

Focus: Agent orchestration, automation, tool integration, and applied AI.

Built a modular, object-oriented deep learning framework using NumPy to understand neural networks at a mathematical level.

• Implemented forward propagation and backward propagation.
• Worked with matrix operations, vectorization, and matrix calculus.
• Implemented gradient-descent-based optimization.
• Focused on understanding the underlying mathematics without relying on high-level deep learning frameworks.

Focus: Python, NumPy, linear algebra, calculus, neural networks, and optimization.

Contributed to internal tooling and maintainability improvements in an existing codebase.

• Refactored legacy Redis-related logic into more strictly typed code.
• Used Mypy to improve type safety in background cron jobs and worker nodes.
• Helped address technical debt and improve code maintainability.

Focus: Python, Redis-related logic, static typing, Mypy, and open-source collaboration.

A collaborative security project focused on secure backend infrastructure and real-time threat mitigation.

Focus: Backend security, defensive engineering, and threat mitigation.

• Backend engineering: API design, asynchronous programming, caching, and service reliability.
• Distributed systems: Scalability, fault tolerance, and service communication.
• Agentic AI: Multi-agent orchestration, tool calling, and autonomous workflows.
• ML fundamentals: Neural network mathematics, optimization, and implementation from first principles.

I'm interested in backend engineering, applied AI, machine learning, and open-source collaboration.

Build with purpose. Understand the fundamentals. Engineer for reliability.