IIT Kharagpur CSE ’26 | SDE | Full-Stack | GenAI & Data
Co-Founder @ CampusBuzz | Building AI Systems & Scalable Solutions
I'm a Computer Science undergraduate at IIT Kharagpur '26, specializing in SDE, Generative AI, and full-stack development. I build practical AI systems including RAG pipelines, multi-agent LLM workflows, NLP models, and production-grade dashboards.
As the Co-Founder & Technical Lead at CampusBuzz, I lead product architecture and engineering for a campus-scale networking and career platform across IITs & NITs. My work spans backend engineering, scalable system design, vector databases, web scraping, and end-to-end GenAI/SDE application development.
Core Expertise: SDE · GenAI Systems · RAG/LLM Pipelines · Full-Stack Development · ML/NLP · System Design · Leadership
C, C++, Python, JavaScript, TypeScript, SQL, LaTeX
React.js, Vue.js, Node.js, Django, Flask, FastAPI
LangChain, LangGraph, LangSmith, RAG, NLP, TensorFlow
AWS, Docker, PostgreSQL, Qdrant, Supabase, Git, Figma
Multi-agent RAG system with Orchestrator, Retriever, WebSearch, and Summarizer Agents using Google Gemini Pro. Designed scalable Qdrant vector DB with 768-d embeddings processing 2,000+ IIT KGP documents.
Comprehensive GenAI dashboard with barcode generation/recognition, inventory management, JWT authentication, and AI-powered local marketing with smart campaigns.
AI chatbot processing 100+ pages/sec with adaptive chunking improving retrieval accuracy by 40%. Integrated Gemini Pro, GPT-3, Claude, and LLaMA2 achieving 95% accuracy.
Inter IIT Tech 13.0 - Multi-agent RAG reducing legal/financial report time by 95%, with 20% better retrieval precision and 60% lower latency.
B.Tech Project - Multi-agent system for cross-brand size recommendations using LLM reasoning. Built mobile platform with React Native and RAG workflows.
Inter IIT Finalist - ML pipeline using Chandrayaan-2 data to produce 4× higher-resolution lunar elemental maps. Applied GMM and UNet achieving >90% accuracy.
Scalable role-based Panchayat system with secure access control. Implemented CRUD operations on 15+ relational tables and advanced query module.
Implemented custom reliable transport protocol over UDP ensuring loss-free, ordered data delivery. Designed sliding window flow control with reusable APIs.
Research at NUS - Built PCA-based feature extraction and ML models achieving 87% accuracy. Analyzed hyperspectral correlations for precise spoilage detection.
Building production-grade RAG pipelines, multi-agent LLM systems, vector databases (Qdrant), and intelligent AI workflows with LangChain, LangGraph, Gemini Pro, Claude, and GPT models.
Developing scalable web applications using React, Vue.js, Node.js, Django, FastAPI with modern architecture, REST APIs, authentication, and database design.
Creating ML models, NLP pipelines, sentiment analysis, and predictive systems. Expertise in TensorFlow, SpaCy, feature engineering, and classification algorithms.
Designing scalable backend systems, APIs, databases (PostgreSQL, MongoDB), and cloud infrastructure with AWS, Docker. Experience with microservices and distributed systems.
Building scalable systems and AI solutions that make a real difference
Projects Completed
Documents Processed
AI Accuracy Achieved
CGPA at IIT KGP
Co-founded comprehensive campus networking and career platform for students across IITs, NITs, and top institutions. Led mobile app design and rollout of Career Hub, Mentorship Network, Campus Events, and Academic Resources. Directed integration of AI tools.
Developed GenAI BPO dashboard automating workflows with CRM sync, live call summarization, and intelligent agent support. Built advanced speech-to-text and sentiment pipelines using Deepgram API, Google Cloud STT, and SpaCy NLP.
Developed official Shaurya sports fest website attracting 1,000+ participants. Built secure Campus Ambassador Registration Portal with React.js and MongoDB. Implemented event registration workflows supporting 500+ seamless registrations.
Built PCA-based feature extraction and ML models achieving 87% accuracy in avocado shelf-life prediction. Analyzed hyperspectral correlations enabling precise spoilage detection and food quality assessment.
CGPA: 7.28/10
Relevant Coursework: Programming & Data Structures, Software Engineering, Algorithms, DBMS, Computer Networks, Operating Systems, Compilers, Computer Architecture
Percentage: 84.2%
CGPA: 10/10
Secured Silver Medal in Open IIT Supply Chain competition among 500+ students by proposing logistics reforms aligned with PM Gati Shakti Scheme.
Achieved All India Rank 35 (Category) in JEE Advanced 2022, placing in the national top 2%.
Secured All India Rank within the top 3 percentile among 10.5 lakh candidates nationwide.
Completed 2 years of NCC training, successfully securing the prestigious 'B' Certificate from NCC authorities.
Secured Bronze in Rangoli at Inter-Hall Illumination & Rangoli, ranking top 3 among 23 halls at IIT Kharagpur.
Participated as VFX team member for MMM Hall Team with 12 members filming on "Inner Self" theme.
Participated in Opensoft General Championship organized by Technology Students' Gymkhana 2025 as part of 20-member team.
Participated in Case Study General Championship, collaborating within a 20-member team.
Worked in a team of four to design and develop a BPO AI Dashboard, handling front-end development tasks.
Have a project idea or want to collaborate on GenAI/SDE work?
I'm always excited to discuss new opportunities and innovative projects!
📍 IIT Kharagpur, West Bengal, India
📧 saikumar01@kgpian.iitkgp.ac.in | iamsaikumar0@gmail.com