Kuldeep Singh
Software Development Engineer @ Samsung R&D
100M+
Daily API Hits
$300K+
Cloud Savings
5★
CodeChef
800+
DSA Problems
Java
Python
AWS
GenAI
Docker
Microservices
Scroll to explore my journey
Professional Journey
08/2019 - 06/2023
The Foundation
JC Bose University of Science and Technology, YMCA, Faridabad
- Mastered fundamental paradigms through thousands of hours immersed in competitive programming and complex Data Structures & Algorithms.
- Achieved the prestigious 5-Star coder rank on CodeChef, placing Global Rank 26 in Starters-61 by solving over 800+ advanced problems.
- Secured All India Rank 320 in Google Kickstart, executing highly optimized logic against extreme time constraints.
> compiling...
> tests passed: 800/800
> rank: 5_STAR_ACQUIRED_
> tests passed: 800/800
> rank: 5_STAR_ACQUIRED_
{}();#//
01/2023 - 06/2023
Vitto Microfinance AI
Software Engineer Intern
- Built a Notification Microservice from scratch — 99.9% delivery rate across 500K+ targeted monthly alerts with zero message loss.
- Integrated UPI QR payments with YES BANK, processing INR 10M+ in transaction volume with zero-fault tolerance.
- Cut database read latency by 90% using Redis caching with smart invalidation — turning 200ms queries into 20ms.
- Shrank Docker images by 70% (Ubuntu → Alpine), accelerating CI/CD pipelines across all microservices.
09/2023 - Present
The Great Migration
Samsung R&D
- Migrated legacy Node.js monoliths into a distributed Java Spring Boot microservice mesh — zero-downtime cutover serving production traffic.
- Containerized the entire platform on AWS EKS, orchestrating 100M+ daily API requests through Kubernetes with auto-scaling and self-healing pods.
- Drove $18,000/month in recurring cloud savings by right-sizing instances, optimizing networking, and eliminating idle compute.
SAVINGS
$18K/mo
Data & Observability
Samsung R&D
- Replaced a heavyweight ELK stack with a serverless pipeline (S3 + Athena + Superset), handling telemetry from 100M+ daily requests at a fraction of the cost.
- Maintained sub-millisecond real-time dashboards by decoupling hot-path analytics from cold storage — zero impact on engineering observability.
- Reduced logging and monitoring costs by $15,000/month while increasing data retention from 7 days to 90 days.
INFO 200 OK
WARN 429 RATE
INFO 200 OK
The AI & Automation Era
Samsung R&D
- Pioneered natural language control mechanisms by leading the development of an internal LLM portal, empowering over 100 service owners to manage vast AWS/GCP resources via plain English and slashing manual console effort by 70%.
- Delivered plug-and-play Model Context Protocol (MCP) servers integrated with Trusted Advisor & Cost Explorer, unlocking over $300,000 in top-level cloud optimizations.
- Spearheaded a multi-threaded Redis asynchronous job processing engine armed with DKMS encryption to securely and efficiently execute 5 Million+ jobs daily.
> optimize costs_
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Independent Projects
Financial AI Assistant
Full-Stack GenAI Project
- Built an end-to-end personal finance AI that connects Gemini's reasoning to real financial APIs — budgeting, expense splitting, and insights in natural language.
- Created a custom Splitwise MCP server (FastAPI + React), wrapping 20+ fragmented APIs behind a unified OAuth + LLM abstraction layer.
- Reduced token usage by 70% through context windowing and smart prompt engineering — making the agent fast and cost-efficient.
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