Mar 2024 – Oct 2025 · 1 yr 7 mos · Gurugram, Haryana, India

• Leading technology strategy and development for AvatarLife, a next-gen company building experiences across the Metaverse and Telegram Mini-app Games, integrating real-time systems, payments, blockchain, and custom viewers.
• 1. Metaverse Platform:
• OpenSimulator Backend: Managed region/grid infrastructure, user databases, and integrations powering the virtual world.
• Django Backend (APIs): Built APIs for memberships, subscriptions, marketplace, referrals, rewards, and secure Timed Hash Verified APIs.
• SvelteKit Website: Migrated main site from Gatsby (React) to SvelteKit, improving build times, Core Web Vitals, and scalability.
• Custom Firestorm Viewer: Led development of a customized Metaverse viewer with in-world activity tracking and lightweight grid management dashboards.
• Internal Dashboard: Built admin dashboards for Marketplace, Subscriptions, Users, Permissions, Assets, Transactions, Revenue, and Blog with reward integration.
• 2. Telegram Mini-App Games Platform:
• Frontend (SvelteKit + Phaser/Babylon): Lead blockchain-enabled 2D/3D gaming interfaces integrated with Telegram mini-app ecosystem.
• Backend (Rust + Loco.rs): Built scalable backend services for games, handling gameplay, payments, and tokenomics.
• Blockchain Integration: Soldity based crypto token smart contract on XDC (Ethereum-compatible) blockchain, enabling in-game currency conversion and rewards.
• Impact: Scaled AvatarLife into a dual-platform ecosystem (Metaverse + Telegram Games) by combining real-time infra, payments, dashboards, and blockchain tokenomics, creating new revenue streams and strengthening community engagement.

Dec 2020 – Mar 2024 · 3 yrs 3 mos · Gurugram, Haryana, India

• As Co-Founder and CTO, I led the design and development of two major platforms:
• 1. Video Presentation Software (OBS + Electron)
• Built a desktop application (Electron + React) enabling teachers, marketers, and sales professionals to create presentations with multi-source slides (camera, screen, window) and per-slide audio.
• Designed Node.js + Express.js backend with Docker-based microservices for APIs, background jobs, and AWS Transcribe-powered audio processing.
• Guided the team in building a SvelteKit analytics dashboard for companies to view presentation insights and feedback.
• Directed AI services in Python to analyze transcribed speech and generate meeting-style feedback and insights.
• 2. Online Meeting Bot Service (Fireflies-like)
• Engineered a Node.js/Express backend for company accounts, privileges, service plans, and Google/Outlook calendar sync to auto-join scheduled meetings.
• Built browser automation services with Puppeteer + Docker for bots to join Google Meet, Zoom, and Teams calls, plus a self-hosted Zoom SDK bot.
• Led team in creating a SvelteKit dashboard for clients to access meeting recordings, transcripts, and AI-powered insights (summaries, Q&A, to-do items, sentiment).
• Oversaw Python + Flask AI engine to transform transcripts into actionable meeting insights.
• Impact: Delivered AI-driven productivity platforms that combined real-time communication, automation, and analytics, scaling to enterprise clients and reducing manual meeting/documentation work by hours per user per week.

Aug 2019 – Dec 2020 · 1 yr 4 mos · Gurgaon, India

• Joined Zupee as one of the early engineers, working directly with the CTO to build the company’s real-time quiz gaming platform. Focused on backend APIs, background jobs, and core gameplay features.
• Real-Time Backend: Built APIs and background jobs using Node.js, Express.js, and WebSocket to support multiplayer quiz tournaments and user interactions at scale.
• Cost Optimization: Reduced dependency on costly 3rd-party APIs by implementing caching layers, cutting recurring expenses significantly.
• Gameplay Features: Designed and implemented the “against-the-house” tournament mode, expanding monetization opportunities and player engagement.
• Admin & Ops Tools: Built workflows for question set lifecycle (add, list, purge), bulk approval systems, and KYC-based compliance checks.
• Fraud Prevention: Implemented coupon code blacklists to stop abuse of promotions and safeguard revenues.
• User Features: Added geo-location capture for users, enabling region-aware gameplay and compliance with regulations.
• Impact: Strengthened Zupee’s gaming infrastructure, enabling reliable real-time gameplay, reducing operational costs, and improving platform trust and fairness.

Jan 2018 – Feb 2019 · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

• Worked on SetuServ’s sentiment analysis platform that processed product reviews, ratings, and social media comments to deliver insights for enterprise clients. Contributed to backend services, pipelines, and system optimization.
• Scraping Backend Service: Built scalable data collection system using Python, Django, Celery, and Scrapy to periodically scrape product data from official websites and social channels.
• Annotation Service: Developed backend service to clean, reshape, and prepare scraped data, enabling AI-based sentiment tagging and storage of structured datasets.
• Reporting Service: Created backend APIs in Python/Django for feeding client-facing React dashboards, providing sentiment trends and analytics.
• Data Pipelines: Integrated scraping, annotation, and reporting into a reliable API-driven pipeline, ensuring seamless data flow from raw ingestion to visualization.
• Performance Optimization: Enhanced existing APIs with Django Rest Framework, reducing latency; refactored monolithic code into loosely coupled OOP modules for maintainability.
• Impact: Delivered a scalable sentiment analysis pipeline that improved data reliability, reduced API response times, and provided actionable insights for clients’ product strategies.

Dec 2014 – Jan 2018 · 3 yrs 1 mo · Gurugram, Haryana, India · On-site

• Worked on ETMoney (Expense Manager App), a personal finance platform that categorized user spending by parsing SMS on mobile devices (1M+ downloads). Contributed to backend APIs, admin tools, automation pipelines, and productivity utilities.
• SmartSpends Platform
• Backend APIs: Developed REST APIs in Java (Jersey, Jetty, Tomcat) to support SMS parsing, spend categorization, reporting, and sync features.
• Admin Interface: Built J2EE + JavaScript tools for managing SmartSpends data and financial workflows.
• Automated Testing: Created Jython-based automation to test SMS parsing rules, combining Java + Python for higher test coverage and accuracy.
• Data Pipelines: Automated JSON exports from Redis to SFTP, and submission of transaction feeds to Cams and Karvy for compliance.
• Additional Tools & Services
• Built Python CLI tools for server management, deployment (Fabric), and log monitoring/backup.
• Created bots for Slack/Mattermost (daily investment stats) and WhatsApp (transaction actions via Yowsup).
• Implemented Java code generator from SQL schemas (Jinja2 + Python) and Scrapy-based crawlers for data ingestion.
• Recognition: Awarded Tech Ninja of the Year (2017) for outstanding technical contributions to the ETMoney platform and automation ecosystem.

Dec 2013 – Dec 2014 · 1 yr · Noida, Uttar Pradesh, India · On-site

• Contributed to Proptiger’s real estate property sales platform, building backend services, automation tools, crawlers, and price analytics pipelines to improve property listings and data accuracy.
• Data Crawling & Scraping
• Built multi-threaded and multi-server web crawlers using Python, Scrapy, Selenium, and Xvfb to extract property and backlink data from dynamic websites.
• Developed a bulk backlink checker web app in Flask, and automated sitemap parsing and URL validation using Python and lxml.
• Media & Content Automation
• Built a multi-threaded image caching system on AWS CloudFront.
• Created tools for downloading, editing, and re-uploading videos using YouTube Data API v3, PIL, pafy, and melt, including a YouTube playlist downloader.
• Price Analytics & Calculators
• Implemented a resale price calculator from crawled data, filtering outliers with PyAstronomy + MySQL.
• Built another price estimator using Google Custom Search API, and integrated results into a Django CMS app for resale price management.
• Infrastructure & Tools
• Developed a CloudFront cache monitor with Django.
• Automated Mixpanel data export and analysis workflows.
• Built an Apache log parser and analyzer to generate reports on API usage and errors.
• Implemented a web page renderer for Angular.js apps using RabbitMQ, Selenium, Xvfb, and MySQL.
• Impact: Delivered automation pipelines and analytics tools that improved property data quality, streamlined media/content workflows, and enabled more accurate real estate price insights.