Abhinav Sharma
Not just models. Not just Code. I build complete systems
Not just models. Not just Code. I build complete systems
I'm most interested in the part of the process where things are still unclear, where the path ot a solution isn't obvious. I work at that intersection of data and systems, building everything from pipelines and models to applications that people can actually use. Because in the end, what matters is not whether something works in theory, but whether it works in the real world.
With a strong foundation in both technical and analytical skills, I bridge the gap between data science and software engineering to deliver comprehensive solutions that drive business value.
Technical expertise spanning data science, machine learning, and full-stack development
A showcase of my data science and software engineering work
Fake reviews are easy to generate, but harder to detect reliably in a way that can be used in real systems. The goal here was not just to train a model, but to build something that could actually be integrated and used. I designed an end-to-end system that takes raw text input and returns a fraud likelihood score through a clean API. The focus was on making the system usable and deployable, not just accurate. This meant thinking beyond modelling — designing the API, handling requests, and ensuring the system runs reliably in a production-like setup.
Detecting fraudulent reviews before they influence real users.
Fake reviews are easy to generate, but much harder to detect in a way that can be used in real systems. This project started as a machine learning problem, but quickly became a broader systems challenge.
I built an end-to-end solution that takes raw review text, processes it through an NLP pipeline, and returns a fraud likelihood score through an API. The focus was not just model performance, but building something practical, usable, and ready to be deployed.
University of Leeds, UK
2022 - Present
Infosys, Hyderabad, India
2018 - 2019
University of Leeds, United Kingdom
2021 - 2022
Specialized in machine learning, statistical modeling, and big data analytics. Thesis on data engineering and data science on predicting social unrest events.
DIT University, Dehradun, India
2014 - 2018
Strong foundation in algorithms, data structures, and software engineering principles.