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S R I V A S T A V _ ( ) SOFTWARE ENGINEER
Proficient in DSA |
Strong command in Java, Go & TypeScript |
Building scalable projects using React, Node.js, Spring Boot, Docker & Kafka |
Focusing on LLD/HLD Architecture |
AWS Cloud & Agentic AI |
Building RAG Systems from Scratch
- π‘ Data Structures & Algorithms: Solved 450+ LeetCode problems through consistent daily practice, developing strong programmatic problem-solving and algorithmic skills.
- π» Competitive Programming: Cleared 600+ problems across multiple platforms, maintaining a versatile, multi-platform competitive coding footprint.
- π Full-Stack Deployment: Successfully architected and shipped 7 production-ready, real-world web applications designed to handle live user interaction.
- π SDE Intern | Ultimez Technologies: Engineered production-ready, full-stack modules within enterprise ecosystem parameters, optimizing backend services for scalability and execution speed.
- π Research & Development: Co-authored a research paper leveraging a Hybrid Ensemble ML model for Advanced Heart Disease Detection, formatted to the Springer template.
- π₯ BIS Ideathon Winner: Secured 1st Position nationwide in the Bureau of Indian Standards National Innovation Challenge for technical creativity.
- π― HackWithIndia Competitor: Achieved an elite nationwide technical ranking inside the Top 1% (Top 400) among thousands of participating engineers.
- βοΈ Cloud Infrastructure: Completed the comprehensive Google Arcade Cloud Simulation Series, mastering hands-on multi-tenant cloud infrastructure environments.
- β‘ Industry Certification: Earned specialized technical validation credentials across Microsoft, Google Generative AI, and official AWS Practitioner (CLF-C02) tracks.
Stack: Go (Golang) Β· PostgreSQL + pgvector Β· GPT-OSS 120B Β· React Β· Docker Β· Render
- Core Infrastructure: Developed an autonomous, agentic code review system that intercepts GitHub Pull Requests to run specialized AI analysis agents concurrently before production deployment.
- Intelligent Retrieval: Implemented a hybrid search layer combining pgvector semantic similarity embeddings with PostgreSQL full-text search to evaluate incoming diffs against custom architectural rules.
- Multi-Agent Assessment: Features a Security Sentinel for vulnerability/CWE mapping, a Cost Predictor mapping IaC changes (Terraform) to AWS pricing drift, and an Architecture Supervisor to prevent ticking technical debt bombs.
- π Live Dashboard | Backend API
Stack: Spring Boot Β· Go (Golang) Β· Redis Β· Apache Kafka Β· PostgreSQL + Flyway Β· React + TypeScript
- High-Throughput Matching: Engineered a thread-safe, memory-localized order matching engine executing on price-time priority, partial fills, and live order books with sub-millisecond access.
- Operational Resilience: Added token-bucket adaptive rate-limiting per client tier, an automated background cleanup daemon for order expiries, and a robust downstream circuit breaker.
- Asynchronous Streaming: Architected event streaming through Apache Kafka to dispatch live execution records and built a WebSocket dashboard for real-time live order book updates.
- π Features a core metrics endpoint tracking live orders/sec, matching latency, and trade volumes.
Stack: React Β· TypeScript Β· Tailwind CSS Β· CoinGecko API Β· Vercel
- Real-Time Delivery: Built a client-facing cryptocurrency tracker integrating streaming market data endpoints for instant, live asset evaluation and market capitalization tracking.
- State & Analytics: Engineered a custom portfolio management structure allowing users to dynamically monitor asset distribution ratios, historical changes, and asset holdings.
- π Live Application Link
Stack: Core Java Β· Supabase Cloud Database Β· REST API Β· JSON
- Robust Architecture: Built a console-based enterprise expense management system utilizing clean OOP principles and low-level system design patterns.
- Data Synchronization: Integrated real-time data sync with Supabase cloud instances over structured REST endpoints, decoupling state processing from remote persistence.
- Automated Intelligence: Programmed automated budget threshold monitors to surface dynamic category spending alerts and comprehensive localized ledger analytics.
| Channel | Contact Matrix Address |
|---|---|
| Primary Mail | sridivyansh03@gmail.com |
| Secondary Mail | divyanshsrivastav.dev@gmail.com |
| Professional Link | /in/divyansh-srivastav |
| Open Source | @Divyansh670 |

