hieee,I'm Deepak

currently inBengaluru, IN|24°C
Deepak

about

tl;dr: learning things by fiddling around the internet!

I dive deep into technologies, whenever something sparks my curiosity, I go all-in, often losing track of everything else around me!

Beyond code, I have a keen eye for the artistic side of tech. UI/UX, Cinematography, Photography, and Video-editing fascinate me, and I love blending creativity with technical precision.

technical skills

javascripttypescriptnodejsreactkafkaredispythonpostgresqlmysqlmongodbgolangawsdockerkubernetes

design skills

figmaphotoshopillustratorpremiere proafter effectslightroomindesignblender

projects

Ecom-microservices

Developed a high-performance e-commerce microservices system handling 150+ requests/second with sub-320ms latency using Node.js, Redis caching, and optimized service design. Implemented robust distributed transactions with the Saga Pattern and Circuit Breakers, ensuring consistency across Order, Product, and Payment services. Secured the platform with Stripe idempotent payments, JWT-based RBAC, and IP rate limiting.

TypeScriptNode.jsRedisPostgreSQLDockerStripeBullMQMinIO
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Distributed-task-scheduler

Built a high-performance distributed task scheduler in Go with a bounded worker pool capable of executing 50+ parallel jobs while maintaining stable memory usage. Designed a fault-tolerant distributed queue using atomic Redis operations and a recovery “Reaper” process to guarantee at-least-once delivery even during worker failures. Added a distributed rate limiter powered by Redis Lua scripts, ensuring atomic token-bucket enforcement and protecting downstream services from traffic spikes.

GolangRedisRedisProtobufPrometheusDocker
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Rungta-Shelfit backend

Developed the backend for RungtaShelfIt, a platform for college students to buy and sell second-hand items like books and instruments. Built using Node.js, Express, and MongoDB with secure JWT-based authentication. Integrated Cloudinary for efficient image storage and management.

Node.jsExpressMongoDBJWTCloudinary
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experience

AI-ML Intern

Edunet Foundations

Feb 2025 - Mar 2025

Completed an AI/ML internship at Edunet Foundation, where I explored core machine learning libraries like Scikit-learn, Pandas, and Keras. Built and fine-tuned models to achieve accurate predictions. Developed a leaf disease detection system that identifies plant diseases from images.

PythonScikit-learnKeras

writing

I've begun writing blogs to share what I learn along the way, more exciting content coming soon!

connect


hellodeepakch@gmail.com