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SB

Suraj Bhan

Open to work1 years experience

Full-stack Developer

NagpurTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full-stack Developer experienced in AI-driven applications and scalable backend systems.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

38 skills
c++pythonjavajavascripttypescriptsqlreact.jsnext.jsreact nativehtmlcsstailwind cssbootstrapnode.jsexpress.jsfastapirest apisredisjwt authenticationwebhooksbackground jobsasync processingmicroservicesmongodbpostgresqlmysqldynamodbawsec2s3iamdockergithub actionskuberneteskafkagitgithubpostman

Work Experience

Full-stack Developer

Startup PitchDesk

May 2025 - Mar 2026 Nagpur
  • Built backend services for a real-time AI voice-based pitch simulation platform using FastAPI, Redis, MongoDB, and AWS, supporting 430+ active users and 700+ competition teams.
  • Designed async APIs and background workflows for pitch sessions, scoring, analytics, and leaderboard updates, reducing synchronous processing overhead and improving request handling reliability.
  • Implemented a Redis-backed real-time leaderboard system using atomic score updates and websocket event broadcasting to maintain low-latency score synchronization during competitions.
  • Engineered webhook-based payment reconciliation pipelines with idempotency keys, retry handling, and failure recovery mechanisms to prevent duplicate subscription events.
  • Optimized LLM + Deepgram inference workflows using Redis caching, async request routing, and response orchestration, reducing average AI response latency from 4.2s to 2.7s.
  • Containerized backend services with Docker and deployed workloads on AWS EC2, integrating centralized logging, environment-based configuration management, and service monitoring.

Projects

PrimeMail

Node.jsReact.jsMongoDB
  • Engineered a full-stack email platform using Node.js, React.js, and MongoDB supporting inbox management, scheduling, threading, forwarding, and read-receipt workflows for 1000+ registered users.
  • Architected JWT-authenticated backend APIs with rate limiting and modular service layers, reducing unauthorized API access attempts and improving request handling consistency across 15+ core email workflows.
  • Integrated Gemini-powered email summarization and smart reply generation pipelines, decreasing average manual email drafting effort by approximately 40% during internal testing.
  • Automated scheduled email delivery and background task execution using cron-based workflows and persistent job tracking, successfully handling 500+ delayed email jobs without task duplication.
  • Refactored MongoDB query handling and frontend state management, lowering average dashboard load time from 2.3s to 1.5s for frequent inbox operations.

OutfitAI

React NativeNode.jsMongoDBCloudinary
  • Created a React Native fashion assistant app integrating GenAI-powered outfit recommendations using wardrobe images, weather conditions, and occasion-based inputs, generating 300+ personalized outfit suggestions during testing.
  • Developed backend APIs using Node.js and MongoDB for wardrobe management, recommendation generation, image uploads, and weekly planner persistence, supporting storage for 1000+ clothing items.
  • Configured Cloudinary image storage and LLM-based recommendation workflows, reducing manual outfit categorization effort and improving recommendation response generation time by approximately 35%.
  • Streamlined shopping recommendation modules and planner-based workflows, enabling users to organize and retrieve outfit combinations in under 2 clicks on average.

YouTube Timestamps Bookmarker

JavaScriptManifest V3
  • Crafted a Chrome extension using JavaScript and Manifest V3 to bookmark and instantly revisit timestamps within YouTube videos, reducing repeated manual video navigation effort for frequent viewers.
  • Leveraged Chrome Extension APIs including storage, tabs, runtime, and scripting to persist bookmark state and synchronize timestamp workflows across sessions with retrieval latency under 200ms.
  • Designed DOM manipulation and dynamic video event tracking workflows to enable real-time timestamp capture and one-click navigation, supporting bookmarking across videos longer than 3+ hours.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Competitive Programming Ratings

CodeChef 4 star (Max: 1803), LeetCode Knight (2041), Codeforces Pupil (1203).

Problem Solving

Solved 800+ DSA and CP problems across LeetCode, CodeChef, Codeforces, and GeeksforGeeks.

CodeChef Rank

Global Rank 31 in CodeChef Starters 205.

GrabHack 2025

GrabHack 2025 National Semifinalist.

IMC Algorithmic Trading Competition 2026

Qualified for IMC Algorithmic Trading Competition 2026 (Round 2).

About Details

Professional Bio

Full-stack Developer with experience in building real-time AI voice-based platforms and scalable web applications. Proficient in FastAPI, Node.js, React, and AWS cloud services. Passionate about competitive programming and optimizing system performance.

B.Tech in Computer Science and Engineering in Computer Science and Engineering

Indian Institute of Information Technology, Nagpur (2023 - 2026)

Languages: English, Hindi
Email: Locked