Joshiya Pandit

Junior Software Engineer

Miraj, Maharashtra, India 0+ yrs exp 85 · Excellent

About

B.Sc. Computer Science graduate (Top 5%, Shivaji University, 2025) seeking a Junior Software Engineer role at Binance. Full-stack engineer with hands-on experience building AI-powered products end-to-end — frontend (React), backend (Python/FastAPI), and LLM integration (Claude/OpenAI APIs). Built production AI systems: semantic recommendation engine (5,000+ items, ChromaDB, RAG), AI customer support platform (LLM classification and response generation), and fullstack services. Proficient with prompt engineering, vector databases, and agentic workflows. Experienced using AI coding tools (Claude, Copilot) daily to accelerate development. Strong full-stack fundamentals: component design, state management, API integration, async operations, databases, authentication. 3 months production software development experience optimizing for reliability and user experience.

Skills & Expertise (41)

React Beginner

4.5/10

0.25

Years Exp

Python Beginner

4.5/10

0.25

Years Exp

Full-Stack Development Beginner

4.5/10

0.25

Years Exp

AI Integration Beginner

4.5/10

0.25

Years Exp

REST APIs Beginner

4.5/10

0.25

Years Exp

Git Beginner

4.5/10

0.25

Years Exp

GitHub Beginner

4.5/10

0.25

Years Exp

Docker Beginner

4.0/10

0.25

Years Exp

MongoDb Beginner

4.0/10

0.25

Years Exp

Postgresql Beginner

4.0/10

0.25

Years Exp

FastAPI Beginner

4.0/10

0.25

Years Exp

Monitoring Semantic Search Logging CSS3 HTML5 JWT Responsive Design Text Classification Summarization Cursor GitHub Actions Microservices Architecture Java Spring Boot Authentication UI Debugging React.js API Integration State Management Component Design AI coding tools Tool Calling AI Agents ChromaDB Vector Databases Prompt Engineering rag systems OpenAI Claude LLM

Work Experience

Software Engineer Trainee

OneRoadmap

Jan 2026 - Mar 2026

Shipped production code across full stack — designed features, built frontend and backend, deployed to real users. Optimized system performance by 40% — measured before/after, confirmed improvement in production. Debugged complex issues in live systems — traced problems, identified root causes, fixed without breaking other systems. Used AI tools daily (Claude, Copilot) to accelerate development, improve code quality, and automate testing.