Open to internships and freelance work
Backend & AI developer
I build backend systems and AI-powered applications — RAG pipelines, LLM integrations, APIs and the automation around them. Two years of freelance and open-source work alongside a Computer Science degree.
I am a Computer Science undergraduate with just over two years of hands-on experience in freelance development and open-source work, focused on AI and machine learning, generative AI, retrieval-augmented generation, cloud computing and full-stack development.
Most of what I build is backend: scalable applications in Python and Java using FastAPI, Flask, Spring Boot and REST APIs, with LLMs, vector databases and cloud platforms wired in where they earn their place. The work has ranged from AI-powered consultancy tools to internal HR systems, and the through-line is turning a stated business problem into something that actually runs in production.
Alongside that I work steadily on data structures and algorithms, and on system design — the parts that do not show up in a demo but decide whether the thing survives its second month.
Retrieval-Augmented Generation, LangChain, LLM APIs, Pinecone, Cohere, Fine-tuning
FastAPI, Flask, Spring Boot, REST APIs
AWS, Oracle Cloud, Git, GitHub, Postman, VS Code
Data structures and algorithms, Object-oriented programming
Python, JavaScript, Java, C++, C, SQL, HTML, CSS
A retrieval-augmented conversational system for a study-abroad consultancy, answering applicant questions from the firm's own documents instead of a generic model's guesswork.
An educational platform that reads a PDF and answers questions about it in context, rather than making the student search it.
A pipeline that turns a typed question into a rendered video answer — script, narration and final cut, unattended.
An HR system covering five workflows a small company runs every week: attendance, leave, salary, task assignment and employee administration.
Configurable attendance tracking and work-rule management for employee records and operational workflows.
Admission and cutoff data pulled out of PDF documents and restructured so it can actually be queried.
Built AI-powered full-stack tools that automated consultancy workflows and made the firm's own information retrievable.
Project-based training in generative AI, prompt engineering, API architecture, cloud computing and deployment.
Mentor-led training in responsive interfaces, technical assessments and project-based implementation.
Translated client requirements into working software across SaaS, web, AI and automation — streamlining workflows and automating the parts that were costing people time.
Analysed and classified business data in Excel and Tableau, building an interactive dashboard from the raw figures.
Expected graduation 2028. Fifth semester, average CGPA around 6.
76 per cent.
89 per cent.
Selected through the competitive rounds for the grand finale.
Participated in both.
Currently representing the third year, having served in the first and second years as well.
Ongoing LeetCode problem solving; DSA coursework completed.
Generative AI, prompt engineering, API architecture and deployment, assessed by project.
The fastest route is email. Tell me what you are building and where it is stuck — I read everything and reply either way.
