Software engineer
I’m Raghav Raj Dwivedi, a software engineer based in India. I work across backend systems, product engineering, and machine learning, with experience building internal platforms, customer-facing tools, AI-assisted workflows, and research-driven technical systems.
You can reach out to me via email, GitHub, LinkedIn, or Instagram.
About
I currently work at Froogal as a Software Development Engineer, where I build internal infrastructure and full-stack systems used across retail operations. My recent work includes IAM and RBAC architecture, credit management workflows, ML-backed customer analytics, and logistics tooling.
Before that, I worked as a founding engineer at Pipable AI and as a developer intern at Reliance Jio and DCode Care. I graduated from IIIT Hyderabad with a B.Tech. in Computer Science and Engineering (Honours), where I also worked across research and teaching assistantships. I’m especially interested in backend design, developer tooling, intelligent systems, and clean product execution.
Professional Experience
Built internal platforms and full-stack systems spanning authorization, customer analytics, credit management, feedback tooling, delivery logistics, and engineering automation.
Worked on agent orchestration demos, LLM system design, prompt engineering, and solution architecture for early enterprise conversations and product direction.
Researched machine learning models for 5G tower placement and built an ensemble approach for churn detection using telecom and terrain data.
Built a forum and messaging app for cancer patients while working in an Agile environment with React and Firebase.
Academic Experience
Co-authored “Real-World Geopolitical Influences on In-Game Financial Behaviour” in the Proceedings of the 18th European Conference on Games Based Learning.
Researched cognitive effects on financial behaviour and political polarisation through experimental game design with Dr. Kavita Vemuri.
Researched political polarisation and financial behaviour through experimental game design with Dr. Kavita Vemuri, including collaborations with Agastya Foundation, GoLive Games, and researchers from the University of Skovde.
Explored digital Indic keyboard design optimization using HCI methods with Dr. Nimmi Rangaswamy.
Served as a teaching assistant for Intro to Human Sciences and Intro to History across multiple semesters.
Projects
Built a bidirectional LSTM-based classifier to detect whether sentence pairs contradict or entail one another.
Developed a multi-label DenseNet121-based model capable of detecting up to 14 lung diseases from X-ray images.
Designed an image processing pipeline using Canny edge detection and K-means clustering to generate stylized images.
Built an RDBMS with matrix operations, B+ trees, two-phase merge sort, and multiple join operations.
Wrote a compiler that translates Racket-like code into x86 machine code.
Built a custom Linux shell with process scheduling and core bash command support.
Created a card and dice game with a digital companion app for applying the game’s arithmetic rules.
Investigated vulnerabilities in public camera systems, scraped insecure data, and contacted regulatory authorities.
Built a secure monitoring system with AES encryption, embedded hardware, and a dashboard for daily sample analysis.
A browser-based game with spaceships and missiles, built as a computer graphics course project.