Curious and driven engineer exploring the intersection of technology, data, and product thinking. I enjoy turning complex problems into intuitive, meaningful digital experiences.
Currently exploring product experiences, data-driven problem solving, frontend architecture, and design systems.
02 — Experience
Apr 2026 — Present
Building a production-scale analytics platform on Apache Superset, with growing ownership across frontend architecture, editing, rendering, and exports.
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Frontend contribution
React
TypeScript
ReduxEChartsBlockNoteApr 2025 — Mar 2026
Contributed to an Apache Superset-based analytics platform across Pages, Charts, Dashboards, and data experiences.
ReactTypeScriptReduxHandlebarsECharts03 — Projects
Web
01A college fest website built to handle 1,000+ registrations and live event coordination at scale, replacing a slow, ad-hoc sign-up process with a single fast, reliable site.
1,000+ registrations handled
React
Tailwind CSSVantaJS
AI / RAG
02A RAG-powered legal research tool for real-time Indian case retrieval, built to replace slow manual searches through dense case law with fast semantic search.
Real-time case retrieval
PythonBeautifulSoupLLMs
Data / EdTech
03An interview-prep platform that uses data analysis to target weak spots, built for learners who needed structured, data-driven feedback instead of generic problem sets.
Analytics-driven prep
PythonStreamlitPlotly
Blockchain
04A decentralized medical insurance app combining blockchain and AI, built to bring transparency and speed to claims that were previously slow and opaque to verify.
Decentralized claim verification
Node.jsIPFS
Community
05A community platform for astronomy and pop-culture enthusiasts, built to give space fans a dedicated place to discuss cosmic events.
Community discussion platform
Python
Flask
HTML5
Algorithms
06A smart emergency-response system using graph algorithms — Floyd-Warshall and Dijkstra — built for faster route optimization than static shortest-path lookups.
Floyd-Warshall + Dijkstra routing
04 — Education
Diploma in Data Science and Programming
CGPA: 7.3 · BDM, MLP, Computational Thinking, TDS, PDSA, Business Analytics
2022 — Present
Bachelor of Engineering, Computer Science & Engineering
CGPA: 9.3
2022 — 2026
Pre-University (PUC)
Grades: 94.67%
2021 — 2022
Schooling
Grades: 92.5%
2019 — 2020
05 — Insights
THOUGHTS
The real leverage comes from understanding the problem deeply and building from fundamentals, not from treating tools as a shortcut to thinking.
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HIRING
A look at how signals, perception, and narrative shape hiring outcomes in today’s tech ecosystem.
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PROGRAMMING
A practical collection of C programs covering linked lists, stacks, queues, trees, and graphs to strengthen core algorithmic thinking.
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