About

Building AI-assisted software with calm execution

This is the longer story behind the portfolio: how I work, what I optimize for, and the internships and communities that shaped that approach.

Bengaluru, India•B.E. Computer Science (Cybersecurity)•2022 - 2026

How I Work

I do my best work at the intersection of product engineering, systems design, and applied AI.

I build systems that operate in real environments where requirements evolve, feedback loops are continuous, and reliability matters. I focus on clear data models, auditability, and designing systems that are observable, reliable, and easy to debug.

While I work across the full stack, I think from the system boundary inward, treating the product as a cohesive system rather than separating frontend and backend concerns. My approach prioritizes scalability, maintainability, and smooth handoffs from development to real-world use.

Baker Hughes

Digital Technology Intern

Jan 2026 - Present

Built a full-stack AI platform that actually makes sense for operators, seamlessly merging React, Flask, and PostgreSQL into a single cohesive experience.

Untangled messy enterprise data by designing clean, normalized schemas that made searching and filtering instantly fast.

Delivered a hybrid BERT-CNN model to production on Azure, proving that machine learning only matters if it ships and works reliably.

Juniper Networks

Software Engineering Intern

Jul 2024 - Feb 2025

Engineered a high-throughput proxy pipeline to ingest and decrypt live SaaS traffic without dropping a beat.

Tuned a classification service until it hit 98% accuracy—because 'good enough' isn't good enough when network reliability is on the line.

Collaborated with an agile team to expand datasets and build models that laid the foundation for smarter downstream AI systems.

Education

2022 - 2026

GPA 8.78

RV College of Engineering, Bengaluru

B.E. Computer Science (Cybersecurity)

Data Structures, Algorithms, Operating Systems, Computer Networks, Database Systems, Machine Learning

Leadership

Aug 2023 - Present

Event Management Lead, Google Developer Student Clubs (RVCE)

Led Tech Tank for 500+ students, owning event operations, technical infrastructure, and cross-team coordination for the GDSC-RVCE community.

Technical stack

The tools and systems I reach for most across product engineering, ML workflows, and cloud delivery.

Languages

Python

C/C++

Java

TypeScript

JavaScript

Frontend

React.js

Next.js

Redux

HTML5

Tailwind CSS

Backend & systems

Node.js

Express.js

Flask

REST APIs

GraphQL

Microservices

Databases

PostgreSQL

pgvector

MongoDB

Redis

Firebase

SQL modeling

AI / ML

PyTorch

TensorFlow

BERT

CNN

LSTM

LangChain

LangGraph

RAG

OpenAI API

Cloud & DevOps

Microsoft Azure

AWS

Docker

GitHub Actions

Git

Bash

PowerShell

Distributed systems

CRDTs

WebSockets

Redis queues

Concurrent systems design

Core CS

Data Structures & Algorithms

System Design

Operating Systems

Computer Networks