Available for work

Mohit Rathwa.

Full-stack engineer and competitive programmer

Full-stack engineer and competitive programmer with hands-on experience building production-grade MERN stack applications, integrating Generative AI APIs, and deploying containerized microservices. Strong foundation in Data Structures & Algorithms with 600+ problems solved. Seeking a high-impact SDE internship to engineer scalable, real-world solutions.

Allahabad, India
mohitrathwa2701@gmail.comLinkedInGitHub
+91-9727072207
Mohit Rathwa

Work Experience

Undergraduate Research Intern

IIIT Allahabad

May 2026 — Present

Processed and analyzed 15.2M rows of real AGMARKNET government crop price data using Pandas for data cleaning, feature engineering, and lag-feature extraction. Trained an XGBoost regression model on 7-day and 30-day lag features to predict future modal crop prices, integrating the model into a Python FastAPI microservice. Built a full-stack dashboard using React.js, Node.js/Express, and MongoDB with JWT authentication, enabling farmers to track historical price trends via interactive Recharts visualizations.

Skills

C++CJavaScriptTypeScriptPythonSQLHTML/CSSReact.jsNode.jsExpress.jsFastAPIMongoDBTailwind CSSREST APIsXGBoostPandasScikit-learnLangGraphGoogle Gemini APIYOLOv8GitDockerPostmanLinuxVercelRenderHugging Face

Projects

InterviewAI — Technical Interview Simulator

Full-stack MERN platform for conducting autonomous mock engineering interviews. Engineered a scalable MERN stack platform for automated technical interview simulations with a decoupled React.js frontend and Node.js backend secured via JWT authentication. Integrated the Google Gemini API to dynamically generate context-aware algorithmic questions by parsing uploaded resume PDFs through a strict JSON-schema prompt-engineering pipeline.

React.jsNode.jsExpressMongoDBGemini API

Traffic Vision — Real-Time CV Analytics

Containerized computer vision microservice integrating a pre-trained YOLOv8 model with a high-throughput async FastAPI backend for real-time multi-class vehicle classification. Orchestrated the cloud deployment pipeline by building custom Docker images and hosting the inference engine on Hugging Face Spaces for zero-setup public accessibility. Constructed a responsive, zero-latency analytics dashboard using Vanilla JavaScript to visualize live bounding box detections and real-time traffic density metrics.

Vanilla JSDockerFastAPIYOLOv8

Education

B.Tech in Electronics and Communication Engineering

Indian Institute of Information Technology (IIIT), Allahabad

Minor: Entrepreneurship, CGPA: 7.47/10

Aug 2023 – Jun 2027

CBSE Class 12 & Class 10

Jawahar Navodaya Vidyalaya (JNV), Vadodara (Gujarat)

90.6% | 88.0%

2019 – 2022

Let's work together.

Open for new opportunities and high-impact collaborations.

Drop me an email