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S R I V A S T A V _ ( ) SOFTWARE ENGINEER
Full Stack/Backend Engineer β Java, Go & Spring Boot |
Building scalable systems with React, Node.js, Docker & Kafka |
Strong in DSA and System Design (LLD/HLD) |
Cloud (AWS/GCP) |
Open Source Contributor @ Docker
- π‘ Data Structures & Algorithms: Solved 476+ LeetCode problems (134 Easy | 285 Medium | 57 Hard), peak contest rating 1443 (Top 70% globally).
- π³ Open Source Contributor β Docker: Diagnosed and fixed a Windows path-expansion bug in Docker Agent; merged into
docker/docker-agentmain after maintainer review. - π SDE Intern | Ultimez Technologies: Built full-stack modules (React/TypeScript/Node.js) with live API integrations, cutting page load time by 35%.
- π Research & Development: Co-authored "A Hybrid Ensemble Machine Learning Approach for Early Detection of Human Heart Disease," published in ICAICCIT, IEEE Xplore.
- π₯ BIS Ideathon Winner: Secured 1st Position nationwide in the Bureau of Indian Standards National Innovation Challenge.
- π― HackWithIndia: Ranked Top 400 nationally (Top 5%) among participating engineers.
- βοΈ Cloud Credentials: AWS Certified Cloud Practitioner (CLF-C02), Google Cloud Generative AI Fundamentals, and 40+ Google Cloud skill badges (169 hands-on labs).
Stack: Go Β· PostgreSQL + pgvector Β· Groq (GPT-OSS 120B) Β· React Β· Docker
- Built an autonomous PR-review system integrated via CI/CD (GitHub Actions) and GitHub webhooks, orchestrating 3 parallel AI agents (Security, Cost, Architecture) to flag issues pre-merge in 3β8 seconds.
- Built a concurrent Golang backend (goroutine worker pool, HMAC-verified webhooks) with PostgreSQL + pgvector semantic search over architecture rules, so agents check PRs against codified team standards.
- Built a live React dashboard with an SSE-streaming RAG chatbot and an MLOps feedback loop that logs engineer overrides to improve flagging accuracy over time.
- π Live Dashboard | Backend API
Stack: Spring Boot Β· Java Β· Redis Β· Apache Kafka Β· PostgreSQL
- Built an in-memory order-matching engine (ConcurrentSkipListMap) with price-time priority and partial fills; covered by 7 tests including a race-condition regression test.
- Implemented volatility-aware rate limiting (Redis Token Bucket) that tightens capacity from 10 to 4 requests when price swings exceed a 3% threshold.
- Built a circuit breaker (3 failures β cooldown β recovery) with trade events streamed via Kafka to PostgreSQL; ~91ms avg latency under concurrent load.
Stack: React Β· TypeScript Β· Node.js Β· CoinGecko API Β· MongoDB
- Built a full-stack crypto tracker with live CoinGecko API feeds, JWT authentication, and MongoDB-backed watchlists, cutting page load time by 35%.
- Integrated Recharts analytics and AWS S3 storage for real-time portfolio visualization.
- π Live Application
Stack: Core Java Β· Supabase Β· REST API
- Built a console-based expense management system using clean OOP principles and low-level design patterns.
- Integrated real-time data sync with Supabase over REST endpoints, decoupling local state from remote persistence.
| Channel | Contact |
|---|---|
| Primary Mail | [email protected] |
| Secondary Mail | [email protected] |
| /in/divyansh-srivastav | |
| Open Source | @Divyansh670 |

