Software Engineer with less than a year in AI/ML & Fullstack Development
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Sarthak Mishra is an aspiring Software Engineer with 10 months of experience in AI/ML and fullstack development. He has actively worked on optimizing MERN-based applications, building agentic workflows with LangChain and LangGraph, and securing backend services. His project experience includes developing an AI-powered architecture diagramming platform and a web crawl accessibility system, demonstrating proficiency in a wide array of modern technologies and a strong aptitude for algorithmic problem solving.
International Institute of Information Technology Bhubaneswar
Bachelor of Technology · CSE
August 1, 2022 – June 30, 2026
Mindfire Solutions
Software Engineering Intern
January 1, 2026 – April 1, 2026
Bhubaneshwar, Odisha, India
IIIT Bhubaneswar
Project Intern
September 1, 2024 – February 1, 2025
Bhubaneshwar, Odisha, India
ArchFlow AI - AI-Powered Architecture Diagramming Platform
April 1, 2026 – May 1, 2026
Architected an AI-native platform for generating and editing 50+ node system design workflows using natural language prompts. Developed a scalable Spring Boot backend with JWT authentication, PostgreSQL persistence, and multi-provider AI orchestration. Engineered a React Flow editor with autosave, undo/redo, drag/drop editing, and file export support. Containerized and deployed full-stack services using Docker with cloud-ready frontend-backend integration.
Web Crawl Accessibility and Compliance Management System
January 1, 2026 – March 1, 2026
Engineered a distributed web crawling platform detecting WCAG accessibility violations across 1,000+ pages per crawl. Orchestrated event-driven microservices using RabbitMQ, improving crawl throughput by 40%. Optimized PostgreSQL queries and backend APIs, reducing latency by 30%. Integrated real-time crawl tracking using Socket.IO WebSockets with sub-second live updates.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including a web crawling platform and an AI-powered diagramming tool, demonstrates a broad interest in different technical domains. Experience with various frameworks and tools (MERN, Spring Boot, Next.js) shows adaptability. Participation in competitive programming and open source indicates a drive for continuous learning and contribution, which aligns well with a dynamic engineering culture. The candidate's academic background and project work suggest a strong foundation for a software engineering role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on performance optimization. Leading a team for the AI-based journal recommendation system suggests leadership potential and collaboration skills. The detailed descriptions of technical achievements imply good communication of technical concepts.