I build systems that make complex things feel simple. My work sits between backend engineering and applied AI, with a focus on clear architecture and the details that hold up in production.
At Prizlyn Technologies, I spent a year and a half leading MentorEDGE, a custom-built platform—from its application logic and APIs to security, payments, and deployment.
I hold a B.Tech in Information Technology from Manipal Institute of Technology, Bengaluru, with a minor in Computational Intelligence. Alongside product work, I explore multi-agent systems, retrieval, and research.
More about my experienceFrom understanding code to moving information securely. Four projects, four different engineering challenges.
From noisy static analysis to a clearer code review. A coordinated AI pipeline that turns repository findings into structured, actionable reports.
Answers with somewhere to point. A retrieval pipeline that transforms a website into a searchable, source-grounded knowledge base.
A file moves. Its contents stay private. An Android sharing application combining encrypted transfers, key exchange, and integrity verification.
Many devices. One shared view. A cross-platform voting application built around clear user roles and synchronized real-time state.
From the data layer to the interface.
The tools I use to turn a good idea
into a dependable system.
JavaPythonJavaScriptTypeScriptSQL
React NativeNext.jsReact.jsNode.jsExpress.jsFastAPI
PostgreSQLSupabaseRedis
DockerGitGitHub ActionsAWS AmplifyAWS ECSAWS ElastiCacheCI/CD Pipelines
Claude CodeCodexGitHub CopilotCursor
OpenAI APIRazorpayRazorpayXInfoBip WebRTCSupabase Auth & Storage
OOPDSADBMSREST APIsJWT / JWKS / RS256Row-Level SecurityAgile / Scrum
Ownership across the stack.
Experience that shapes
how I approach the next problem.
Software Developer Intern
Technical lead for MentorEDGE, a cross-platform project built around custom application logic. Architecture, security, payments, and deployment—from end to end.
300+REST API endpoints
100+PostgreSQL tables
8CI/CD workflows
Led end-to-end development of MentorEDGE, a custom-built cross-platform application (React Native, Next.js, Node.js/Express, PostgreSQL), as technical lead, owning its business logic, architecture, security, and deployment decisions. Designed a 300+ endpoint REST API with JWT/JWKS authentication, RBAC, rate limiting, and idempotent webhook ingestion, on a 100+ table PostgreSQL/Supabase schema with Row-Level Security. Built the Razorpay/RazorpayX payment and payout infrastructure, including HMAC signature verification and automated UPI/bank payouts, and found and fixed a production race condition that could leave a successfully retried payment unreconciled. Set up the DevOps pipeline from scratch: Dockerized services on AWS ECS with Redis (ElastiCache) caching and 8 GitHub Actions CI/CD workflows covering linting, testing, security scanning, and deployment. Integrated the OpenAI API into research tools and InfoBip WebRTC for live video sessions.
Node.js/Express / React Native / Next.js / PostgreSQL/Supabase / Razorpay / Docker / Redis / OpenAI API
Frontend Developer Intern
Built the front-end of "School Student Companion," a cloud-hosted app for PC, including an interactive PDF viewer with annotation and highlighting for NCERT textbooks. Collaborated on AI-powered Q&A, automatic note generation, translation, and audio playback features.
React / PDF Annotation / AI Q&A / Translation
Android Developer Intern
Developed an Android voting app with Firebase Authentication and a real-time database. Enforced data integrity through strict schema validation and implemented secure role-based access control for voters and administrators.
Android / Firebase Auth / Realtime DB / RBAC
Java Developer Intern
Delivered Java-based projects including an ATM simulator and a student grading system, applying core OOP principles, exception handling, and modular design patterns to produce clean, maintainable code.
Java / OOP / Exception Handling
B.Tech in Information Technology
Minor in Computational Intelligence · AI, ML, Pattern Recognition, Neural Computation
Senior Secondary Education (XI, XII)
Secondary Education (X)
Exploring how intelligent systems
work, where they fit, and the
trade-offs behind their application.
Presented a short paper comparing Naive Bayes & Logistic Regression against VADER & RoBERTa on news sentiment classification, evaluated across accuracy, precision, recall, and F1-score. Demonstrated that transformer-based models outperform classical approaches on nuanced sentiment, while classical models offer faster inference — providing practical guidance on model selection trade-offs for real-world NLP pipelines.
Read PaperCo-authored a chapter on AI & Blockchain integration in defence operations (India & USA), covering autonomous vehicles, advanced weapon systems, and command & control (C2) systems. Analyzed real-world deployments and emerging applications of secure, decentralized intelligence, highlighting how blockchain immutability strengthens accountability in AI-driven military decision-making.
Get the BookHave an interesting problem?
I’d like to hear about it.
Open to software engineering
and applied-AI opportunities.
