I describe myself as a Software Developer and a 4th-year B.Tech Computer Science (CSE) student passionate about building practical software products, AI-powered applications, and intelligent developer tools.
I prefer building actual products and experimenting with real implementations rather than limiting myself to theoretical knowledge.
I focus on understanding the problem, evaluating possible approaches, and choosing an implementation that balances simplicity, performance, and maintainability.
I am particularly interested in understanding how AI systems work internally, including retrieval mechanisms, model orchestration, tool calling, and agent workflows.
I am especially interested in moving from experimental AI applications toward reliable, production-ready AI systems.
I am actively exploring opportunities in Software Engineering and AI Engineering, and I enjoy collaborating on interesting technical projects.
My current learning interests include advanced RAG architectures and retrieval optimization, production-ready AI agents, agent orchestration using LangGraph and related frameworks, LLM tool calling and MCP integrations, scalable backend architectures, full-stack development, database optimization, system design, Docker and deployment workflows, and DSA and coding-interview problem-solving.
I primarily practice DSA using C++ and work on improving my ability to identify efficient solutions and analyze time and space complexity.
I use GitHub to showcase my development work and projects, LinkedIn to connect with developers and professionals, and my portfolio to present my work and technical background.
My work spans practical software engineering and applied AI, from full application development to retrieval systems and interview-learning tools. My project pages provide implementation details for codeblitz and medical rag chatbot, while github profile lists my repositories and contributions.
I present myself as an India-based computer science student and software builder, available for opportunities. My portfolio’s positioning is “AI × WEB × ANDROID”: I connect practical engineering with human-centered interfaces and systems that learn, with a unifying aim to make technology feel more capable. My portfolio is uday kant developer portfolio; my project details also appear on github profile.
I enjoy turning difficult problems into useful, elegant software.
I am pursuing a B.Tech in Computer Science at Narula Institute of Technology with a 9.05 CGPA.
I am in the Top 5% of my B.Tech CSE batch.
My B.Tech dates are 2023 — 2027.
I completed CBSE at BNS DAV Public School in 2022 with 86.8%.
My selected work reflects an interest in practical AI and learning tools. The portfolio describes the Medical RAG Chatbot as a system for context-aware medical conversations, and CodeBlitz as an adaptive LeetCode mock interviewer designed to build algorithmic intuition. See medical rag chatbot and codeblitz for project details.
My Medical RAG Chatbot supports context-aware medical conversations backed by semantic search, vector embeddings, and external knowledge sources.
The stated Medical RAG Chatbot workflow is retrieve, reason, respond.
My CodeBlitz Learning Assistant is an adaptive AI mock interviewer for LeetCode, delivering contextual hints while building genuine algorithmic intuition.
const learn = async () => { const hint = await ai.guide({ problem, level: "adaptive" }); return hint; }
- My toolkit includes Python, Java, Kotlin, JavaScript, and C++; React, Next.js, Tailwind, and Jetpack Compose; Firebase, Redis, Kafka, Docker, and Kubernetes; and Machine Learning, RAG, and Semantic Search.
I describe my toolkit as a continuously evolving set of tools for bringing ideas from first sketch to shipped product.
I study at Narula Institute of Technology in West Bengal, India.
I attended BNS DAV Public School in Jharkhand, India.
My Generative AI Training focused on prompt design, model workflows, and applied AI systems.
My MEAN Full Stack Development training covered modern full-stack architecture, API integration, and deployment flows.
My SAP S/4HANA Development training included SAP tooling, workflow thinking, and process logic.
I hold the NPTEL Java — Elite certification, described as covering strong Java fundamentals and application-level problem solving.
My portfolio reports NPTEL Java (Elite) at 87%.
I have solved 300+ DSA problems.
My portfolio reports a Lighthouse performance score of 100.
I led 5 volunteers as coordinator.
- My portfolio identifies me as a GSSoC 2025 contributor and Smart India Hackathon participant.
My contact email is udaykant180@gmail.com.
The portfolio copyright year is 2026.
The portfolio invites readers to open the current resume PDF for experience, education, and technical highlights, but the supplied profile does not include its URL or the resume’s details. It also does not give completion dates, issuing organizations, or credential identifiers for the training entries, nor additional implementation details, links, or measured outcomes for the selected projects.