AI · ML · Full-Stack

Rajdip
Solanki

Computer Engineering graduate building AI systems that think, retrieve, and decide — from Adaptive RAG pipelines to production-grade ML models.

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About

Building at the intersection
of AI and engineering

I'm a Computer Engineering graduate from BVM Engineering College, Anand. My focus is turning AI concepts into shipped, measurable products — I care about systems that work cleanly, scale gracefully, and actually solve problems, not just demo well.


Along the way I've interned as a Mobile App Developer at Tech Elecon and a React.js Developer at TatvaSoft, giving me hands-on exposure across the full stack — from geofenced attendance systems to production REST APIs. Currently seeking roles in AI/ML Engineering, Software Development, or Data Analytics.

0.92
ROC-AUC — Fraud Detection
500K+
Retail transactions analysed
68%
Reduction in false positives
4
AI/ML projects shipped

Skills

Tech stack

AI / ML

LangChainLangGraphRAGVector DBsPrompt Eng.Agentic AILLMs

Languages

PythonJavaScriptSQL

Backend & APIs

FastAPIFlaskNode.jsExpress.jsREST APIs

Databases

MongoDBPostgreSQLMySQLQdrant

Libraries

PandasNumPyScikit-LearnTensorFlowSpaCyStatsmodels

Cloud & Tools

AWSDockerGitMLflowPostmanJira

Projects

Selected work

01

Adaptive RAG System

End-to-end RAG system using LangGraph to intelligently route queries across document knowledge, general knowledge, and real-time web search. Features chunking, embedding generation, query rewriting, relevance grading, and Qdrant vector search — backed by FastAPI with MongoDB chat memory.

02

Fraud Job Detection

ML pipeline for detecting fraudulent job postings using TF-IDF and XGBoost, achieving ROC-AUC of 0.92. Automated preprocessing and feature engineering; mitigated class imbalance through threshold optimization, reducing false positives by 68%.

03

Retail Sales Analytics & Demand Forecasting

Forecasting pipeline on 500K+ retail transactions using RFM segmentation, EDA, customer segmentation, and feature engineering. Evaluated SARIMA and ETS models with MAE and RMSE metrics to generate actionable insights for retail demand planning.

04

AI Interview Preparation Platform

Full-stack platform analysing resumes against job descriptions using Google Gemini AI to generate personalized interview questions, skill-gap insights, and preparation roadmaps. Features JWT-authenticated REST APIs and MongoDB-backed report management.

Blog

My writing & insights

ML Experiment

Why Pregnancy Features Cannot Predict Baby Gender: A Machine Learning Experiment The Age-Old Question Meets Modern AI

Read article →

Experience

Where I've worked

Jan 2025 – Apr 2025
Tech Elecon Pvt. Ltd
Anand, Gujarat

Mobile App Developer Intern

  • Collaborated with team members to develop HRMS modules supporting employee attendance, leave management, and project tracking workflows.
  • Analyzed business requirements and implemented role-based authentication, user management, and backend-integrated real-time data operations using Firebase services.
  • Built location-based attendance using geofencing and QR verification.
May 2023 – Jun 2023
TatvaSoft
Ahmedabad, Gujarat

React JS Intern

  • Developed secure authentication workflows and responsive user interfaces by translating functional requirements into React.js components
  • Implemented shopping cart and product filtering features to enhance product discovery and user experience in an e-commerce application
  • Integrated and validated REST APIs ensuring reliable data flow between frontend and backend services.

Education

Academic background

Birla Vishwakarma Mahavidyalaya Engineering College

B.Tech in Computer Engineering · Anand, Gujarat

2020 – 2025

Let's work together

Open to AI/ML Engineering, Software Development, and Data Analytics roles.