Ajay Jeena builds reliable systems.
SDE @ Oracle • Distributed Systems • Kubernetes Observability • GenAI/RAG
Production-focused engineer working on developer productivity, observability, and distributed debugging across Kubernetes microservices.
Built GenAI/RAG systems and platform automation with measurable impact (effort ↓25%, monitoring ↓40%, RCA time ↓80%).
LeetCode
1983
Top 3%
Problems
700+
DSA solved
CPI
9.00
NIT Raipur
Impact
Work experience
Production engineering with measurable outcomes across observability, automation, and GenAI systems.
SDE-1 @ Oracle
Jul 2024 — Present
- Designed and deployed a production-grade RAG pipeline (Python + LLMs) to auto-generate test files, reducing developer effort by 25% across large internal frameworks and improving test coverage.
- Built a scalable MCP server in Go and integrated with a Kubernetes observability stack to automate performance diagnostics, cutting manual monitoring by 40% in multi-service environments.
- Developed distributed debugging workflows for microservices, including inter-cluster tcpdump automation, reducing root-cause analysis time by 80% and improving production reliability.
SDE Intern @ Oracle
Jan 2024 — Jul 2024
- Streamlined deployment of 5G core components (CNDB, NRF) in a multi-cluster Kubernetes environment, achieving an 83% reduction in deployment time.
- Automated end-to-end security certificate management (OCCM/NF) for OCCNE infrastructure, reducing provisioning time by 40% with Kubernetes-based automation.
Founding Web Developer @ GradUp
May 2023 — Dec 2023
- Led end-to-end design and development of the company web platform using Next.js and MongoDB, enabling an early product launch under tight timelines.
- Contributed to product strategy and early team scaling, participating in technical hiring and architecture decisions.
Build
Projects
Systems work with a bias for correctness, performance, and real-world deployment.
Palayan
Distributed Booking System
- Designed a concurrency-safe booking platform in Go with MySQL + Redis, sustaining sub-100ms API latency under simulated load.
- Guaranteed correctness under contention via optimistic locking and Redis distributed locks, eliminating double-booking scenarios.
- Improved reliability with retries and async workflows (Redis Streams), achieving >99% booking success rate in failure injection tests.
AI ShopScreener
Full-Stack AI Comparison Engine
- Built a real-time product aggregation + normalization service across Amazon/Flipkart via REST APIs, cutting cross-platform search time by 40%.
- Implemented an LLM reasoning layer to compare specs and sentiment into value rankings; deployed the system on AWS end-to-end.
Uttarakhand Trip Planner
Travel planning & itinerary discovery website
- Built and shipped a public-facing travel discovery experience for Uttarakhand with destination guides, itineraries, and route-focused content.
- Optimized information architecture and on-page SEO to make long-form destination pages easy to browse and search-friendly.
- Designed a conversion-oriented flow (quote / taxi inquiry) with clean UX and fast navigation across planning intents.
Toolbox
Skills
Strong CS fundamentals + practical engineering across backend, cloud, and GenAI.
Languages
Backend systems
Cloud & infra
AI/ML
Core CS
Signal
Achievements & leadership
Competitive programming, contests, mentoring, and consistent academic performance.
Achievements
- LeetCode max rating 1983 (Top 3% globally) with 700+ problems solved.
- Codeforces Specialist (max 1468) in C++.
- Top contest ranks: 383 (LC Weekly 336), 527 (LC Weekly 342), 292 (LC Biweekly 107).
- 99%ile in JEE Mains 2020 (10L+ candidates).
Volunteer
- Mentored 10 students in DSA, coding, and projects at the Turing Club of Programmers (NIT Raipur).
- Rajyapal Puraskar awardee — Bharat Scouts and Guides.
Let’s talk
Contact
Open to SDE opportunities focused on distributed systems, cloud, and platform engineering.