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Hello I'm

Darshan Jain

Engineering Undergrad

Backend Developer with 1 year of hands-on internship experience in building scalable web applications.


Actively looking for Internship & Full-Time opportunities
Let's explore my Projects and Experience section 😎


About Me

Thrillseeker

Darshan Jain has a passion for backend development, data science, and AI technologies. He has a strong technical foundation in C++, Python, Flask, Node.js, and databases like MySQL and MongoDB, complemented by expertise in tools such as Docker and Git, with experience as an AI Analyst at Outlier AI and an internship at Google Summer of Code 2024 - VideoLAN.

Education

Shri G.S Institute of Technology & Science

2021 - 2025 Indore
  • Bachelors of Technology (B.Tech)
  • CGPA : 7.51

IIT - JEE Mains 2021

  • Scored : 94.4%
  • Ranked 48k among 1000k candidates.

Honors & Awards

Coding Competitions

  • Selected as a GSoC’24 Open Source Contributor among 1220 candidates out of 63,000 applicants from 172 countries
  • Ranked 1st / 500 participants in Coding Contest CodeRush 2k24 SGSITS by AlgoUniversity
  • Ranked 565 / 3000 participants in Codechef Starters-103 (Div-3)

Scholastics

  • Selected as Cohort @ Wipro Climate Challange out of 1400+ applicants for Ideation of a Business Model based on Scrap.

Skills

Languages

  • C/C++
  • Python
  • SQL
  • Qt/QML
  • HTML
  • CSS

Frameworks & DataBase

  • FastAPI
  • Restful API
  • Flask
  • React
  • Node Js
  • Express
  • Bootstrap
  • MySQL
  • MongoDB

Utilities

  • Git/GitLab/GitHub
  • Docker
  • VS Code
  • MS Excel
  • Linux/Ubuntu
  • Windows

Experience

Cyntra AI

Software Engineer Intern

Feb'25 - Present Noida, Uttar Pradesh, India
  • Worked on product usage insights, analyzing key business metrics.
  • Developed a React-based report dashboard by extracting data from API build using FastAPI.
  • Contributed to a 2% increase in client acquisition through data-driven insights.
gsocImg

GOOGLE SUMMER OF CODE’24 @ VIDEOLAN

(VLC Media Player)

Open Source Contributer

May'24 - Present Remote
  • Redesigned the Qt interface for VLC - 4.0, achieving a 75% boost in UI performance.
  • Implemented tools and frameworks like Docker, CMake, Linux, and GammaRay for development.
  • Introduced features such as Minimal Mode, CLI Options, and Parental Controls, enriching the user experience.
  • Received an invitation to the Video Dev Days 2024 conference in Seoul, South Korea.
  • My VLC GitLab Repo

OUTLIER AI

AI Analyst

Sep'24 - Present Remote
  • Optimized GenAI response generation for large language models.
  • Employed Prompt Engineering methodologies to enhance model reliability.
  • Achieved a 95% improvement in accuracy for models with Reinforcement Learning with Human Feedback (RLHF).

Projects

Backend Project: E-commerce Data Pipeline & Insights API

2025 Self
  • Developed a FastAPI-based data pipeline to extract, transform, and analyze product, transaction, and user data.
  • Implemented data enrichment by linking transactions with product and user details.
  • Designed API end-points to provide insights like most popular product category, total user spending, and average transaction value. Deployment Link

Travel Alchemy: Your Personalized Travel Planner

2024 Self
  • Built a dynamic travel planning web app for personalized itinerary generation.
  • Implemented secure user authentication and tailored itinerary creation for a seamless user experience.
  • Designed a responsive front end with HTML, CSS, and JavaScript, integrating booking platform links.
  • Deployed in a production environment, making it accessible to end users Deployment Link

Online Code Judge Platform

2024 Self
  • Built a platform to securely run and compile user‑submitted code for programming problems, providing accurate verdicts
  • Used Node.js, React, Docker, Redux, MongoDB, Express
  • Created and published a Docker image on Docker Hub for setting up the code execution environment
  • Utilized Redux Store for authentication feature
  • Deployed in a production environment, making it accessible to end users Deployment Link