Harshit Agarwal is a Fullstack Software Architect, Infrastructure Engineer, and AI Researcher based in India. He acts as Founding Engineer & Lead SDE at platforms like Famcare, shoppin', and endorphind, specializing in high-throughput backend services, cloud infrastructure-as-code (Terraform, AWS ECS/RDS/ALB), and deep learning systems. At FamCare, he brought the entire production stack under Terraform with zero downtime, built an isolated staging environment with its own Aurora Serverless v2 database, and shipped a full CI/CD pipeline for it.

Harshit specializes in Python, FastAPI, Go, C/C++, Java, React/Next.js, Flutter, PyTorch, Terraform, AWS (ECS Fargate, Aurora PostgreSQL, ALB, Secrets Manager, CloudWatch, S3, DynamoDB), GitHub Actions, Docker, PostgreSQL, Redis, and WebSockets.

Harshit has published research on transformer-based NLP architectures for software vulnerability exploit prediction in NVD (AIP / Springer), and has submitted gait analysis/Parkinson's Freezing of Gait prediction research to Health and Technology.

Harshit is the author of gaitSetPy (a Python package for high-throughput gait time-series preprocessing and modeling) and has built custom generative video nodes for ComfyUI workflows.