Yajushi Vudatha
Open to work1 years experienceAI Engineer
AI Engineer experienced in RAG, LLMs, backend engineering, and scalable cloud applications.
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
38 skillsWork Experience
Summer Intern
Cisco
- Developed a scalable enterprise RAG-based agentic AI compliance assistant for the Cisco Live platform using backend engineering, LLMs, vector search, REST APIs, and MCP to automate enterprise documentation analysis and policy compliance.
- Designed scalable document ingestion, embedding, indexing, and retrieval pipelines for enterprise knowledge bases, improving response accuracy, retrieval latency, and system scalability.
- Implemented agentic workflows using LLMs to perform multi-step reasoning, compliance validation, and context-aware information retrieval.
AI Intern
Kriss AI
- Developed and fine-tuned AI-powered healthcare assistants leveraging LLMs and Electronic Health Record (EHR) integration to automate patient interactions and clinical workflows.
- Built conversational AI pipelines, prompt engineering frameworks, and retrieval-based systems to improve response quality and user engagement.
- Collaborated on deploying scalable AI solutions for healthcare automation and decision support.
Summer Intern
Criterion Network Labs
- Built and deployed a 3D IPv4/IPv6 adoption analytics platform using Three.js and Framer Motion, enabling strategic network modernization with optimized CI/CD on Vercel.
Projects
ComplianceClaw – Enterprise RAG Compliance Assistant
View Project- Developed a scalable enterprise RAG compliance platform using backend engineering, REST APIs, vector search, and performance-optimized agentic workflows to automate analysis of Cisco Live documentation.
Food Paradox – Food Redistribution Platform for Bridging Surplus and Scarcity
View Project- Developed a scalable full-stack platform with REST APIs and backend engineering to enable real-time food redistribution and optimized resource allocation between institutions and NGOs.
CigOps – AI-Powered Nicotine Recovery Platform
View Project- Developed a scalable AI-powered healthcare platform integrating REST APIs, predictive analytics, and performance-optimized machine learning models to deliver personalized nicotine cessation interventions.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Selected Delegate, HPAIR Asia Conference
Selected Delegate, Harvard Project for Asian and International Relations (HPAIR) Asia Conference
Finalist, JPMorgan Chase Code for Good Hackathon
Finalist, JPMorgan Chase Code for Good Hackathon
About Details
Professional Bio
Computer Science student with hands-on experience in backend engineering, AI, and scalable software development. Skilled in Python, APIs, RAG, LLMs, and cloud technologies. Passionate about building secure, reliable software and solving real-world engineering challenges.
Bachelor of Technology in Computer Science in Computer Science
Vellore Institute of Technology (VIT), Vellore (2023 - 2027)