~/automation
Naukri Resume Automation
A production-minded Python CLI for secure profile configuration, browser automation, dry runs, scheduling, verification, and failure diagnostics.
open repositorywhoami
Hello, I am
A backend-focused software engineer building reliable services, cloud-native systems, developer tools, and applied AI solutions.
I turn ambiguous problems into practical, dependable software.
cat about.txt
I build backend services and cloud-native systems, then follow them through testing, deployment, observability, and production diagnosis. I care about reliable behavior, clear boundaries, and maintainable code.
My work spans Java services, event-driven integrations, Kubernetes operations, developer automation, and applied AI prototypes. I value useful tests, reproducible workflows, and documentation that helps the next person move faster.
./ai --approach
I use AI to shorten feedback loops across research, implementation, testing, documentation, and operational analysis.
I am comfortable designing agent workflows, shaping context, connecting tools and knowledge sources, and turning repeatable work into efficient systems. Every result still passes through source evidence, engineering judgment, and verification.
workflow research -> build -> verify
strengths agents · context · tool integration
principle automate repetition, retain judgment
result faster delivery without skipping rigor
ls ./selected-work
A small sample across different problem spaces.
~/automation
A production-minded Python CLI for secure profile configuration, browser automation, dry runs, scheduling, verification, and failure diagnostics.
open repository~/coding
A structured collection of data structures, algorithms, competitive programming solutions, and low-level design exercises.
open repository~/computer-vision
A computer-vision prototype that classifies five yoga poses from uploaded media or a webcam using pose landmarks and a trained model.
open repository~/knowledge-base
A reusable, agent-agnostic framework for preserving task context, durable project knowledge, repeatable workflows, and safe collaboration.
open repository./capabilities --list
[ problem_solving ]
Strong foundations in data structures, algorithms, complexity, and competitive problem solving across coding platforms.
[01]
Services, APIs, persistence, integration boundaries, testing, and maintainable application design.
[02]
Event-driven services, asynchronous processing, data integration, and resilient service boundaries.
[03]
Containerized delivery, observability, performance analysis, incident investigation, and operational reliability.
[04]
AI-assisted engineering, reusable agent workflows, browser automation, and model-backed prototypes.
ls ./credentials
Current credentials in cloud and applied AI.
./connect
For work, collaboration, or a conversation about software engineering.