I am a Master's student at Auburn University at Montgomery specializing in Intelligent Systems and Scalable Web Architectures. I am passionate about LLM Orchestration, RAG Pipeline Engineering, and building secure, high-performance Full-Stack systems.
March 2024 โ February 2025 | Remote
- ๐ค Trusynth AI Platform: Developed enterprise generative AI training platform utilizing GPT models and Chroma DB, streamlining onboarding and knowledge transfer for corporate clients
- โ๏ธ AWS Cost Optimization: Consolidated 14 microservice containers into 4 optimized primary containers, achieving 40% reduction in infrastructure costs
- ๐๏ธ Architecture Migration: Led core service migration from Express.js to Nest.js, enhancing code organization, type safety, and maintainability
- ๐ Assessment Portal: Engineered high-concurrency online examination platform using Python FastAPI with AWS Cognito OAuth2.0 and RBAC
- ๐ DevOps & CI/CD: Established automated GitHub Actions pipelines for seamless AWS deployment with zero-downtime releases
- ๐ ๏ธ Tech Stack: React, Node.js, Nest.js, Python FastAPI, AWS (S3, Route 53, VPC, Cognito), VectorDB, MongoDB
A resilient AI agent with multimodal intent detection and multi-LLM failover.
- ๐ Live Demo | ๐ป Source Code
- ๐ Stack: React, TypeScript, FastAPI, MongoDB, WebSockets
- โก LLM Orchestration: Engineered a "Waterfall" failover system: Gemini Pro (Primary) โ Groq (Secondary) โ Mistral (Tertiary) to ensure 100% service uptime
- ๐๏ธ Hybrid RAG: Implemented MongoDB Atlas Vector Search for semantic memory and Gemini Function Calling for real-time web-augmentation via SerpAPI
- ๐ง Intent Gateway: Built a specialized intent classifier to route requests between Image Generation (AI Horde), Web Search, and Document Q&A
๐ฐ Finance Manager
Full-Stack financial tracking and work-schedule management for professionals.
- ๐ Live Demo | ๐ป Source Code
- ๐ Stack: React, TypeScript, Express.js, MongoDB
- ๐ BI Dashboard: Developed custom visualization for net income and category-wise spending trends using Chart.js
- ๐ฅ Batch Processing: Built a robust ingestion engine for CSV/Excel bulk uploads and automated PDF/XLSX report generation
- ๐ Security: Implemented JWT Authentication, Bcrypt hashing, and backend middleware for Rate-Limiting and Throttling
Dynamic knowledge-testing platform with precision timing and accessibility.
- ๐ Live Demo | ๐ป Source Code
- ๐ Stack: React, JavaScript, Vite, OpenTDB API
- โก Real-Time UX: Features a synchronized 30-second countdown timer and a post-exam review module for performance analytics
- ๐ Accessibility: Integrated audio-tactile feedback cues for timer warnings and user selections
Browser-based media capture utility utilizing native Web Media APIs.
- ๐ Live Demo | ๐ป Source Code
- ๐ Stack: JavaScript, MediaRecorder API, HTML5, CSS3
- ๐ผ Media Streams: Leveraged the MediaRecorder API to fuse
getDisplayMediaandgetUserMediafor synchronized screen and microphone recording - ๐พ Local Processing: Utilized Blob objects and
URL.createObjectURLfor instant local video encoding and downloads
Logic-based game engine with persistent state management.
- ๐ Live Demo | ๐ป Source Code
- ๐ Stack: Vanilla JavaScript, HTML5, CSS3
- ๐ง Core Logic: Implemented localStorage for score persistence across sessions and a randomized algorithmic opponent logic
| Category | Tools & Technologies |
|---|---|
| AI / ML | LangChain, RAG Pipelines, LLM Orchestration, Prompt Engineering, Vector Search, Gemini Function Calling |
| Backend | FastAPI, NestJS, Node.js, Express.js, TypeScript, Python, RESTful APIs, WebSockets |
| Frontend | React, Next.js, Vite, TypeScript, JavaScript, Tailwind CSS, Chart.js, HTML5/CSS3 |
| Cloud/DevOps | AWS (Cognito, S3, EC2), Docker, MongoDB Atlas, SQL, GitHub Actions (CI/CD), Vercel, Render |
- LinkedIn: linkedin.com/in/srirama-krishna-maddipati
- Contact: (+1 334 294 9767)
- Email: maddipatisriramakrishna@gmail.com
- Current Goal: ๐ Seeking 2026 Internship & 2027 Grad roles in AI Engineering & Full-Stack Development
