Mihir Lovekar

About Mihir Lovekar

I am a Software Engineer with 3+ years of experience building scalable, cloud-native, and AI powered systems across full stack and backend services. I focus on designing reliable production software, integrating AI where it adds real value, and deploying secure systems that hold up in real world use.My work spans full stack development (React, Django, FastAPI), backend engineering (Python, Java, REST APIs), and cloud infrastructure (AWS, Azure, Docker, Kubernetes). I have delivered impact by building AI driven systems such as Retrieval Augmented Generation (RAG) applications, using LLMs and vector databases to achieve low latency, high accuracy retrieval for academic and enterprise use cases.Previously, as a Software Engineer II at Ernst & Young, I worked on API driven modernization, migrated complex business logic into scalable decision engines, improved system performance, and supported zero downtime CI/CD pipelines in high stakes enterprise environments.Currently, as a Graduate Research Assistant at New York University, I build and deploy applied AI systems end to end from data ingestion and embeddings to production-grade cloud deployments.I care about clear abstractions, predictable behavior, and systems that scale without becoming fragile, and I enjoy working on problems at the intersection of system design, performance, and real-world reliability.Beyond software, I’m a musician who’s been playing guitar for 9+ years and enjoys learning new instruments. I’m deeply curious by nature, whether through music, fitness, or exploring new skills. I bring the same discipline and curiosity to my creative pursuits as I do to engineering.

Experience

1. Software Engineer

   Saayam For All

   Aug 2025 — Present · US

   Designed and implemented a Spring Boot–based REST API to validate user existence across multiple identifiers, incorporating structured request validation, clear service-layer business logic, and efficient database access using Spring Data JPA to support reliable backend workflows.Improved backend reliability and data integrity by identifying and fixing ORM-to-schema mismatches across multiple core domain entities, eliminating runtime mapping errors and ensuring consistent persistence behavior in production environments.Unblocked end-to-end local startup for multiple Spring Boot microservices by implementing Docker Compose with PostgreSQL and resolving configuration and dependency issues, enabling developers to run and debug services locally with a production-like setup.

Education

• NYU Tandon School of Engineering

  Master's degree, Computer Science

• SRM IST Chennai

  Bachelor of Technology - BTech, Computer Science

  2017 — 2021