Hi, I'm Rishab
AI Engineer • Data Engineer • Full-Stack Developer
I'm a Final Year CSE student at NIT Durgapur with a knack for building scalable AI and Data Engineering solutions. With successful stints at BOSCH and Infinity Analytics, I bring production-level experience in architecting robust systems that drive real business value.
Rishab Acharjee
B.Tech CSE '26
Crafting AI Solutions at Scale
I'm a final-year Computer Science student at NIT Durgapur with a passion for building intelligent systems that solve real-world problems. My journey spans across AI/ML, data engineering, and full-stack development.
From architecting petabyte-scale data pipelines at BOSCH to engineering FPGA-accelerated AI systems, I've consistently pushed the boundaries of what's possible with technology.
When I'm not coding, you'll find me solving competitive programming challenges or exploring the latest in Generative AI and Agentic Systems.
Turning Ideas Into Code
Clean Code
Writing maintainable, scalable code following industry best practices and design patterns.
AI/ML Engineering
Building intelligent systems with deep learning, GenAI, and production-grade ML pipelines.
Data Engineering
Architecting petabyte-scale data pipelines with real-time streaming and ETL workflows.
Performance
Optimizing applications for speed, accessibility, and efficient resource utilization.
Full-Stack Development
End-to-end application development from responsive UIs to robust backend systems.
Cloud & DevOps
Deploying scalable solutions on AWS, Azure with Docker, Kubernetes, and CI/CD.
Dev Analytics
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Skill Balance
Where I've Worked
SDE Intern (Incoming)
@ Zluri
- Incoming Software Development Engineer Intern.
Projects
Supply Chain Platform: Agentic Approach
Nov 2024
Cloud-native logistics optimization platform for 200+ retail outlets with AI-powered demand forecasting and intelligent routing.
- Situation: A retail network of 200+ outlets faced frequent delivery delays and inaccurate demand forecasting.
- Task: Develop a comprehensive, cloud-native logistics platform to optimize routing and forecasting.
- Action: Deployed SARIMAX time-series models for forecasting and Digital Twins for simulation. Implemented a multi-agent routing system using CrewAI and secured the hybrid PostgreSQL-Firestore DB with RBAC.
- Result: Improved demand forecasting accuracy by 25%, reduced delivery delays by 20%, and remediated 3 critical security vulnerabilities.
RAG Chatbot with Document + Video Support
Aug 2023
Advanced multi-modal RAG chatbot supporting PDF documents, YouTube videos, and research papers with intelligent retrieval.
- Situation: Users needed to synthesize technical information efficiently from diverse formats including PDF documents and video content.
- Task: Create a Retrieval-Augmented Generation (RAG) system capable of seamless multi-modal information retrieval.
- Action: Built the chatbot using LangChain and ChromaDB, integrating Arxiv and Wikipedia APIs. Engineered support for processing 50+ PDFs and YouTube links weekly.
- Result: Enhanced retrieval efficiency by 60%, providing a streamlined tool for accessing and synthesizing complex technical data.
Tech Stack
A comprehensive toolkit of modern technologies and frameworks that I use to build exceptional digital experiences.
AI/ML & Data
Backend & Cloud
Frontend & Tools
Technologies I Work With
Programming
AI/ML & Gen AI
Big Data & Cloud
Databases
Web & APIs
DevOps & Tools
Core CS
Achievements
Juspay Hiring Challenge 2025
Qualified for Semi-Finals among India's top engineering talent
out of 1,00,000 participants
Competitive Programming
Consistent problem solver across multiple platforms
Problems Solved (LC + CF)
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Max Rating
LeetCode
Regular problem solving and contest participation
Solutions
Leadership
Senior Coordinator, Inter-NIT Sports Competitions
National Tournaments
Let's Connect
I'm always excited to discuss new opportunities or collaborate on interesting projects.