I build end-to-end technology solutions from production backend APIs and full-stack web applications to machine learning pipelines and data-driven insights. With a Computer Science Engineering degree and an MSc in Data Science from Lancaster University, I bring both engineering rigour and analytical depth to every problem I work on.

I'm a Computer Science Engineering graduate and MSc Data Science student at Lancaster University, with hands-on experience across the full technology stack — backend development, machine learning, and data science.
At Parallel Process LLP, I worked as a full-stack software developer, building and integrating APIs using Meta and Reddit's platforms, developing scalable backend systems in C#/.NET, and managing data with MongoDB. That role taught me how to ship real, production-grade software under real constraints.
On the data science side, I've built a product recommendation system for Amazon review data using collaborative filtering techniques, co-authored a research paper on benchmarking AGI progress and its governance implications, and I'm currently developing a machine learning model for drug-drug interaction prediction.
What makes me different is that I don't just analyse data — I can build the systems around it. I write the APIs, design the pipelines, and deploy the applications that turn insights into products.
I analyse complex datasets and derive actionable insights using Python and R. I build data visualisation dashboards and reports using Power BI and Tableau to communicate findings clearly to both technical and non-technical audiences.
I design and build full-stack web applications using React, Next.js, .NET Framework, C#, TailwindCSS, HTML, and CSS. I focus on creating fast, scalable, and user-friendly interfaces backed by robust server-side logic.
I build applications and software solutions using Python, Java, C++, C, and C#. I apply strong foundations in algorithms, data structures, and system design to write efficient, maintainable, and production-ready code.
I design intuitive user interfaces and experiences for websites and applications, focusing on usability, accessibility, and visual clarity. I use Figma to create wireframes, prototypes, and polished design systems.
I'm a full-stack developer and data scientist actively looking for roles across the UK, India, and remote-first teams at startups moving fast and large companies solving hard problems. I bring a rare combination of software engineering rigour and data science capability, and I'm ready to contribute from day one.
I don't just build models or write code in isolation — I think about the full pipeline, from raw data to deployed product.
From C#/.NET in production to MSc-level machine learning research, I adapt quickly and pick up new stacks and tools with minimal ramp-up time.
I've collaborated on real client projects, academic group research, and open-source contributions — I know how to deliver as part of a team.
Whether it's a data science model predicting drug interactions or a backend API serving real users, I care about building things that make a measurable difference.

MSc Data Science

Computer Science Engineering

Science

A collection of certifications across data science, web development, algorithms, and cloud technologies reflecting my commitment to continuous learning and staying current with industry best practices.

December 2025 – Present|Lancaster, United Kingdom
Supporting day-to-day operations within the charity retail environment — assisting customers, organising donated stock, maintaining store presentation, and supporting the team to achieve fundraising goals for life-saving research into heart and circulatory diseases.

October 2024 – May 2025|Panaji, Goa
Worked as a full-stack software developer, building and integrating third-party APIs including Meta and Reddit platforms. Developed scalable backend systems using C# and .NET Framework, with MongoDB for data storage and retrieval. Contributed across the full development lifecycle — from backend architecture and API design to frontend integration — delivering maintainable, production-ready software solutions for client requirements.

August 2024 – October 2024|Gurugram, Haryana
Completed data science projects using Python, SQL, and Tableau — including sales data analysis and diagnostic modelling. Applied data cleaning, exploratory analysis, and visualisation techniques to surface actionable insights from real-world datasets.

July 2023 – September 2023|Verna, Goa
Built and contributed to the company website using React, Next.js, Tailwind CSS, and Ant Design. Implemented Strapi as a headless CMS for flexible content management and constructed a strategic sitemap to enhance navigation and improve SEO performance.

NPTEL
Associated with Padre Conceicao College of Engineering (PCCE)
Successfully completed 25 credits through the National Programme on Technology Enhanced Learning, engaging with advanced topics including data structures, algorithms, and cloud computing demonstrating commitment to academic excellence and continuous learning.
Experience
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