Open to opportunities

AYUSH PATIDAR

@ayushpatidar

Message

I build scalable backend and AI-powered applications using Python, FastAPI, AWS, and LLMs.

India

Message

What I'm looking for

I'm looking to build reliable, scalable backend and AI-powered products, solve real-world engineering problems, and improve system performance through clean, maintainable code.

At EngineerBabu, I architect and scale a multi-tenant AI recruitment platform, including production-grade AI resume parsing, resume optimization, billing, auto-apply, and real-time interview systems. I use FastAPI, PostgreSQL, Redis, Celery, LangChain, and OpenAI APIs to support global throughput and automate screenings for 500+ candidates monthly.

I've reduced resume-processing latency by 50% through asynchronous pipelines and built DataHire to cut recruiter screening time by 70% while improving matching accuracy by 45%. I also develop cloud-native, multi-tenant backend services for products such as Shule Direct, with REST APIs, RBAC, and AI-powered learning workflows.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

EngineerBabu

Mar 2025 - Present (1 year 5 months)

Architected and scaled a multi-tenant AI recruitment platform, engineering high-availability REST APIs using FastAPI and PostgreSQL. Developed and deployed production-grade AI Resume Parser and Optimization engine, reducing processing latency by 50% through asynchronous Redis and Celery pipelines.

fastAPI PostgreSQL Redis Celery Docker AWS REST APIs OCR OpenAI GitHub Actions CI CD

Education

Degrees, certifications, and relevant coursework

Acropolis Institute of Technology and Research

Bachelor of Technology, Computer Science Engineering

2021 - 2025

Grade: 7.52/10.0

Activities and societies: Relevant Coursework: Software Engineering, Operating Systems, Object-Oriented Programming, Database Management Systems, Algorithms, Artificial Intelligence, Machine Learning, Deep Learning.

Pursued a Bachelor of Technology in Computer Science Engineering with a specialization in Data Science, achieving a CGPA of 7.52/10.0.