Building, fixing and shipping|

Sahil Sharma

साहिल शर्मा•/sɑːhɪl ʃərma/

software engineer and problem solver focusing on backend architecture, real-time systems, and massively scalable solutions.

a competitive programmer passionate about algorithms, bridging deep technical foundations with real-world, premium product experiences.

Experience

Xpectrum AI

March 2026 - Present

Software Engineer Intern • San Francisco, CA (Remote)

Driving the development of reliable backend architectures and automated pipelines.

Education

National Institute of Technology, Hamirpur

2023 - 2027

Bachelor of Technology, Electronics and Communication Engineering•Hamirpur, India

Relevant Coursework: Data Structures and Algorithms, Object-Oriented Programming, Database Management Systems.

Featured Projects

Nivasa

Docker, Node.js, MongoDB, Redis, Razorpay

A comprehensive AI-integrated property rental platform that automates listing creation using the Gemini API. Built with a highly scalable framework utilizing Docker and Redis, it achieves ultra-low latency while delivering seamless Mapbox-driven search and secure Razorpay payment processing.

PeerSpace

React.js, WebRTC, Socket.io

A highly scalable, real-time peer-to-peer video communication system. Leveraging WebRTC and custom Socket.io signaling, the platform guarantees sub-200ms latency video streaming alongside an intuitive interface for isolated meeting rooms and synchronized chat.

Core Architecture

Java

JavaScript

TypeScript

Python

React.js

Next.js

Node.js

Socket.io

WebRTC

MongoDB

Redis

Docker

AWS

Java

JavaScript

TypeScript

Python

React.js

Next.js

Node.js

Socket.io

WebRTC

MongoDB

Redis

Docker

AWS

Daily Contributions

Competitive Programming

1223 RatingCodeforces Pupil

Consistent algorithmic scaling and high competition rank.

1791 RatingLeetCode Top 8.07%

Top-decile performance demonstrating strong consistency.

1000+ SolvedData Structures

Extensive problem-solving across LeetCode, Codeforces & GeeksforGeeks.

Currently Exploring

Agentic Workflows

Building autonomous AI agents that can plan, execute, and collaborate to solve complex multi-step problems.

RAG Systems

Retrieval-Augmented Generation for creating intelligent applications with context-aware, grounded AI responses.

AWS Architecture

Exploring scalable cloud infrastructure, serverless computing, and robust deployment pipelines.

Kubernetes

Mastering container orchestration, automated deployment scaling, and resilient microservices management.

Open Source

Contributing to developer tools and learning from large-scale, community-driven codebases.