Architecting Multi-Agent RAG & Scalable Systems
Hi, I'm Rakesh Chaudhary. B.Tech student in Mathematics & Computing at DTU. I engineer retrieval-augmented generation pipelines, multi-agent AI workflows, and high-concurrency backend services.
import { Developer, Intern } from '@dtu/maths-computing';
import { AgenticAI, RAG } from '@bel/research-lab';
export const rakesh: Developer = {
name: 'Rakesh Chaudhary',
education: {
institution: 'Delhi Technological University (DTU)',
degree: 'B.Tech Mathematics & Computing',
duration: '2023 - 2027'
},
currentRole: {
title: 'Agentic AI Intern',
organization: 'Bharat Electronics Limited (BEL)',
focus: ['Multi-Agent RAG', 'Vector Databases', 'Privacy AI']
},
problemSolving: {
dsaProblemsSolved: 600,
platforms: ['LeetCode', 'Codeforces']
},
links: {
linkedin: 'linkedin.com/in/rakesh-chaudhary-',
github: 'github.com'
}
};
Work Experience
Industry Internships & Backend Engineering
Agentic AI Intern
Current RoleBharat Electronics Limited (BEL) — Central Research Laboratory - BEL
- ›Developing a Retrieval-Augmented Generation (RAG) system for secure querying of confidential and enterprise documents using semantic search and vector databases.
- ›Building document ingestion pipelines involving parsing, chunking, embedding generation, and retrieval of unstructured data.
- ›Designing multi-agent workflows for automated document retrieval, reasoning, and question answering over internal knowledge bases.
- ›Exploring privacy-preserving AI techniques, including local vector databases, access-controlled retrieval, and secure handling of sensitive information.
- ›Investigating advanced retrieval methods such as hybrid search, reranking, and on-premise LLM deployment for enterprise applications.
Backend Developer
CompletedDU Events — Platform Engineering
- ›Developed scalable REST APIs and database schemas for core platform functionalities.
- ›Implemented authentication, authorization, and secure user management workflows.
- ›Optimized backend performance through query tuning and caching mechanisms.
- ›Designed asynchronous services for notifications and background processing.
- ›Collaborated with frontend and product teams to deliver production-ready features.
Featured Projects
AI Pipelines, Multi-Agent Systems & Computer Vision
Multi-Agent RAG System
Enterprise Semantic Search & Knowledge QA Pipeline
Developed a multi-agent RAG system for semantic search and question answering over complex unstructured document repositories. Built custom ingestion pipelines featuring document parsing, chunking, embedding generation, and vector indexing.
Traffic Flow Optimization System
Computer Vision & Dynamic Signal Control
Built an AI-driven real-time traffic analysis system utilizing YOLOv8 for vehicle detection and counting. Designed adaptive algorithms to estimate real-time traffic density and dynamically re-calculate signal timings to eliminate congestion bottlenecks.
Skills & Technologies
AI Frameworks, Distributed Systems & Core CS
AI / ML & Agentic Systems
Languages & Core
Frameworks & Backend
Cloud, Infrastructure & Tools
Data Science & Analytics
Core Computer Science
Achievements & Leadership
Competitive Coding & Campus Responsibilities
Positions of Responsibility at DTU
Head, Creative Team
Cultural Council (CC), DTU
Led creative campaigns, branding assets, and promotional content strategy for major university cultural events.
Active Member
YUVAAN, DTU
Organized social impact initiatives, campus awareness drives, and community outreach events.
Technical Member
Maths Club, DTU
Participated in advanced mathematical problem-solving sessions, algorithmic workshops, and technical discussions.
Education
Academic Credentials & Foundations
Delhi Technological University (DTU)
Bachelor of Technology (B.Tech) — Mathematics and Computing
- ›Curriculum covers Advanced Data Structures, Algorithms, Probability & Stochastic Processes, Abstract Algebra, Operating Systems, DBMS, and Machine Learning.
- ›Engaged in research work in Agentic AI and Retrieval-Augmented Generation.
Delhi Police Public School
CBSE Senior Secondary (Class X & XII) — Science & Mathematics Stream
- ›CBSE Class X Score: 92.4%
- ›CBSE Class XII Score: 88.4%
Let's Build Something Impactful
Whether you're looking to discuss Agentic AI workflows, RAG architecture, full-stack backend systems, or engineering collaborations, I'd love to connect.