👋 Hi, I'm Ramit! A Software Engineer specializing in building and scaling products from scratch.
🛠 Tech Skills: Efficient at turning ideas into scalable solutions, optimizing for user engagement.
🚀 Building & Scaling: I've taken projects from concept to touching millions of lives. I don't just code; I create systems.
🤓 Learning: A tech enthusiast, I'm always diving into new paradigms and technologies to expand my skillset.
🎵 Personal: Away from code, I enjoy listening to music and singing. Creativity fuels my tech innovation!
Work Experience
Co-Founder
@HuntYourTribe
- Building a platform that's transforming how developers tell their professional stories and connect with opportunities that matter.
- Creating intuitive tools that help developers showcase their true potential beyond traditional resumes.
- Working with an amazing team to solve exciting challenges in tech recruitment, blending authenticity with innovation.
Co-Founder & Engineer
@AINave
- Built and scaled a community-first platform for AI enthusiasts, developers, and experts, growing to 30K+ monthly users in just 3 months.
- Created a comprehensive ecosystem combining AI tool discovery, tech news aggregation, and community engagement spaces.
- Lead a passionate team of 4, balancing product vision with technical excellence to shape the future of AI discovery and collaboration.
- Engineered full-stack solution using Ruby on Rails, Next.js, MySQL, and Redis. Built custom systems including a payment service based on Golang, BunnyCDN Rails adapter, notification system, screenshot service based on Express.js and Puppeteer.js, Lexical based Rich Text Editor and social media system. Also designed scalable infrastructure achieving 99.9% uptime.
Software Engineer 2
@Scaler
- Core backend engineer for Scaler Topics, helping scale to 2M+ monthly users from scratch. Architected systems, database schemas, and APIs as part of the founding team.
- Built critical infrastructure: hybrid video streaming service (90% cost reduction), custom sitemap generator (2x organic traffic), and cross-project libraries for ratings, events, and caching.
- Developed robust webhook system managing 5K+ daily events for cross-product data synchronization.
- Translated complex product requirements into technical specifications, orchestrating deliverables across engineering, product, and design teams.
- Optimized deployment pipelines with Jenkins and AWS.
- Maintained code quality through 90%+ test coverage, thorough PR reviews, and comprehensive TRDs implementation.
- Mentored junior engineers, instilling best coding practices and collaborating on engineering excellence initiatives.
Projects
SentiEnt - Product Performance Analyzer
A Web-based application that collects product reviews from various e-commerce websites like Amazon, and Flipkart and performs Sentiment Analysis on the data collected. Plots graphs showing trends of various products in the market. Helps customers by enhancing their shopping experience as well as vendors to analyze their product performance in the market.
The technology stack used: Flask (Python), PostgreSQL, HTML, and CSS.
Capstone Project Portal
An evaluation portal to help students and teachers conduct semester-long capstone project evaluations. Some of the features include team registration, mentor and marks assignment, panel creation, and evaluation.
The technology stack used: Flask (Python), MySQL, HTML, and CSS
AppCubo - Centralized app feedback
- A web app that enables users to give easy feedback to app developers that include bug reports, update log, feature requests, discovery, and new releases
- Collects app data such as name, developer, icon from 3 major app stores: Google, Apple, and Microsoft Store by web scraping using the bs4 (Beautiful Soup) library
- Designed RESTful backend server and Leveraged caching for recently accessed app data
The technology stack used: Django, Flask, PostgreSQL, MongoDB
TIET Publications
A website showing a database of all the authors of TIET who have published some work in their professional fields like Books, Journals, and Conference Papers. The data can also be shown Department wise and year wise.
The technology stack used: PHP, MySQL, HTML, and CSS.
Smart Learning System
Created a system to analyze EEG signals for studying patterns of attentiveness, providing ed-tech content creators with improvement suggestions.
The technology stack used: Ruby, Ruby on Rails, EEG Sensor, and HTML/CSS.
Education
Thapar Institute of Engineering & Technology
Bachelor of Engineering - BE, Electronics and Communications Engineering
2017 - 2021
Maharaja Harisingh Agri Collegiate School(D.A.V) Nagbani, Jammu
High School
2014 - 2016