Product Engineer · Full-Stack · Systems Builder
I build production systems — not tutorial projects. Offline-first mobile, caching layers, push infrastructure, and role-based platforms that hold up under load. Currently shipping real features for real users at SOCIO.
I'm a Full-Stack and Product Engineer with hands-on production experience building scalable hybrid platforms, real-time systems, and offline-first mobile applications. I specialise in building performant systems across the full stack, currently interning at SOCIO (startup-grade campus event platform) — from Valkey caching and push notifications to Capacitor hybrid apps.
I'm pursuing a BSc in Computer Science and Mathematics at CHRIST (Deemed to be University), Bengaluru. My academic coursework includes Data Structures & Algorithms, Graph Theory, Linear Algebra, Discrete Mathematics, Object-Oriented Programming, and Database Systems. I thrive in high-paced sprint workflows where elegant architecture meets excellent user experience.
1+
Year Coding
10+
Projects Built
3
Hackathons
∞
Cups of Coffee
Product Engineering Intern
Web Developer & Organising Committee Member
CHRIST University — Junior Student Orientation Session
Industry-Academia Conclave '26, School of Sciences, CHRIST University
inbloom eSports — Science and Technology
Department of Computer Science, CHRIST University
Featured projects include detailed engineering case studies — click View Case Study to explore architecture decisions, database design, and technical challenges.
This site. A full-stack Next.js 16 portfolio with a 12-module career management dashboard (Atlas Console) — recruiter CRM with email threads, opportunity pipeline, job application tracker, hackathon logger, live site analytics, goal tracker, and an automated deadline reminder engine with Resend email delivery.
Live data fetched directly from GitHub — repositories, language distribution, and activity.
Credential ID: 328494602OCI25DCFA · Valid through May 2028
Academic certification covering graph algorithms and structures
Verified proficiency in Python syntax, structures, and algorithms
Verified proficiency in simple queries, relationships, and aggregations
Foundational software development, memory management, and systems building in C
Best practices in LLM reasoning, structural prompt design, and task validation
These are the principles that guide every technical decision I make — from database schema design to how I name a function.
Code is read far more than it is written. Every abstraction, variable name, and system boundary should communicate intent — not just to machines, but to the person on-call at 2am.
Premature optimization is where good systems go to die. Instrument first, identify the actual bottleneck, then fix it. A cache that solves the wrong problem is technical debt disguised as performance.
A boring architecture that solves the problem beats an elegant one that introduces six new failure modes. Complexity is unavoidable — it should live at the boundaries where it's most visible and testable.
Authorization enforced only at the API layer is one bug away from a breach. Defense-in-depth means row-level security at the database, scoped tokens at the API, and input validation at every boundary.
A perfect system that never ships helps no one. The goal is to deliver value incrementally, with enough architecture to avoid rewriting everything in six months. Good enough and shipped beats perfect and planned.
Every technology choice carries tradeoffs. Picking a tool without understanding what problems it solves means you inherit its complexity without leveraging its strengths. Read the docs, not just the tutorials.
Compiled PDF Resume
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Open to internships, freelance projects, and collaborations — especially in full-stack product engineering, hybrid mobile, offline-first systems, EdTech, and AI-integrated applications.